Three drift items from ailang-architect, plus one false-positive
surfaced during verification:
1. DESIGN.md silent on closure-pair 4.14x finding (21'b).
Decision-10 ratified: "Workload scope of the 1.3x target"
paragraph scopes the retirement gate to linear/tree/poly-ADT
workloads; closure-pair carve-out documented as
representational cost (closure cell + env struct = 2 allocs
per step) until a slab/pool answer ships.
2. bench/compile_check.py corpus drift. Three fixtures added
(bench_compute_intsum, bench_compute_collatz,
bench_list_sum_explicit), re-baselined. Now 12 fixtures x
2 ops = 24 compile-time metrics.
3. baseline.json convention not codified. Note field gains
"max-of-distribution gets wider band than percentile"
convention discovered in 21'd.
4. (verification finding) bench_compute_intsum cross_lang
tolerances at 15%/12% fire on subprocess-spawn jitter for
sub-millisecond fixtures. Widened to 35% across all five
intsum metrics; convention recorded in baseline_cross_lang
note field (sub-ms fixtures need looser bands).
All three bench gates re-run sequentially after edits:
bench/check.py — 63 metrics; 63 stable
bench/compile_check.py — 24 metrics; 24 stable
bench/cross_lang.py — 25 metrics; 25 stable
Total: 112 metrics under regression coverage, all green.
288 tests passing, 3 ignored. No Rust changes.
84 KiB
AILang — design decisions
This document records the core decisions for AILang. It is my contract with myself across future iterations. Prefer cuts over growth.
Goal
AILang is a programming language for LLM authors. It compiles to LLVM IR. Performance: native, no GC for the MVP.
Optimised for:
- Machine readability over human ergonomics. The source is structured.
- Local reasoning. Every definition carries its full type and effects.
- Provability. Pure core language, explicit effects, optional refinements.
- Robustness against hallucinations. Symbols are hashable; tools can verify existence without spending context window.
Project ecosystem
AILang is not just a language but an ecosystem. The language on its own is only valuable when its surroundings make it usable, checkable, and extensible for its target user (LLM authors). The repo therefore contains several equally important components — none of them optional, all of them evolving in lockstep with the language:
- Language core (
crates/ailang-core,crates/ailang-check,crates/ailang-codegen): AST, type system, codegen. - Surface forms (
crates/ailang-surface,crates/ailang-prose): the LLM-facing renderings of a module.ailang-surface(Iter 14c) is the lossless Form-A printer/parser — the canonical authoring surface fixed by Decision 6, with a round-trip propertyparse ∘ print = idgating every release.ailang-prose(Family 20) is the lossy Form-B projection — human-readable prose for review and edit, with no parser; re-integration goes through the LLM-mediator round-trip documented indocs/PROSE_ROUNDTRIP.md. - CLI (
crates/ail): toolchain for tooling consumers —manifest,describe,deps,check,build,parse,render,prose,merge-prose, etc., preferably with--jsonfor machine consumption. - Examples (
examples/): canonical.ail.jsonprograms. They are specification anchors, not demos — the E2E suite hangs off them. - Agents (
agents/): specialised sub-prompts (implementer, architect, tester, debugger) that form the project's own LLM tooling. They are a versioned part of the repo. Seeagents/README.md. - Docs (
docs/): DESIGN.md (what and why), JOURNAL.md (history). - Tests: unit tests per crate plus E2E in
crates/ail/tests/e2e.rs. Every new compiler path needs a test, otherwise the feature does not count as done.
When the language grows, these components grow with it. New tools that
strengthen the LLM tooling (e.g. ail diff, IR snapshot diffs, new agents)
explicitly belong in the ecosystem inventory of this section and are added
here as soon as they are established.
Project language: English
All in-tree content is written in English: source code (identifiers,
comments, string literals, CLI help), design documents, the journal, agent
prompts, READMEs, commit messages, examples, and CLAUDE.md. The live
conversation between user and me stays German for ergonomic reasons;
everything that lands in git is English. This keeps diffs and tooling output
uniform and matches the audience for AILang (LLM authors), for whom English
is the default.
Decision 1: source = data, not text
A module is a JSON object with a fixed schema. There is no parser for free-form text. Typos in identifiers turn into hash-lookup errors that the compiler proposes a fix for directly.
A textual form exists (.ail, S-expression-like), but only as a
bidirectional projection of the JSON form. It is intended for human reviews
and diffs.
Canonical format: .ail.json with deterministic key order.
Decision 2: content-addressed definitions
Every top-level definition has a hash value (BLAKE3 over canonical JSON
without the hash field itself). References between definitions go primarily
by name — names are for readability. The hash is the canonical identity.
Advantages:
- Refactoring by adding new defs, not by in-place change. Old versions stay callable until manually removed.
- Caching of typecheck results and codegen per hash.
- Diffs show exactly which def has changed.
Decision 3: pure core language + algebraic effects
The default is total, pure functions. Effects are declared as a set in the
function type: (Int) -> Int ![IO]. The effect set is row-polymorphic
(![IO | r]). In the MVP only the effects IO and Diverge (for infinite
loops) are wired up.
This is the most important LLM property: when I read a function, I can trust its signature without reading the body.
Decision 4: Hindley-Milner + optional refinements
MVP: HM with let-polymorphism. All types are inferable, but at the top level they must always be explicitly annotated (for local reasoning).
Later: refinement annotations that escalate to SMT. (i: Int | i >= 0). They
are reserved in the AST from the start, but in the MVP they are simply passed
through as opaque strings.
Decision 5: emit LLVM IR as text
Instead of inkwell or llvm-sys: AILang produces .ll files as strings
and hands them to clang for linking.
Rationale:
- The LLVM IR text syntax is largely stable across versions.
- No build dependency on a specific libllvm version.
- Generated code is trivially inspectable, which makes debugging much easier.
- An LLM can read the generated IR directly, which is harder with opaque library calls.
Trade-off: no inline optimisations through the LLVM API. We rely on
clang -O2 as the standard pipeline.
Decision 6: authoring surface (Iter 14b)
Status: shipped. Form (A) was chosen in Iter 14b and implemented as
the ailang-surface crate (parser + printer) in Iter 14c. Form-A is
gated against drift by ailang-surface/tests/round_trip.rs, which
parses every .ailx fixture, prints it back, re-parses, and demands
canonical-byte equality. In Iter 15e, ail render and both branches
of ail describe were rewired to use ailang_surface::print, making
form (A) the sole text projection of a module — the legacy
non-round-tripping pretty-printer code in pretty.rs was deleted in
the same iter, leaving only diagnostic helpers (type_to_string,
pattern_to_string, manifest) public. The rest of this section
records the why of Decision 6 for the audit trail; the constraints
listed below describe the surface as shipped.
Why this is opening up
Iters 1 through 14a authored everything as raw *.ail.json. That worked
for 17 fixture files (each ≤ 60 LOC of JSON) but does not scale. Two
breaking signals:
- The token-economy cost of the JSON-AST is massive: a single integer
literal
1is encoded as{"t":"lit","lit":{"kind":"int","value":1}}— ~38 tokens of structural overhead per bit of semantics. For a stdlib in the 200–500 def range this displaces real attention budget. - JSON-AST authoring exposes a class of errors (wrong field names,
silently-accepted extra fields under
#[serde(default)], inconsistent ctor casing) that surface only at load time. The schema is correct-by-construction in storage but error-prone in authoring.
Decision 1 anticipated this: it says a textual form exists "as a
bidirectional projection of the JSON form." The pretty-printer already
emits S-expression-style text (see crates/ailang-core/src/pretty.rs).
What is missing is the inverse direction — text → AST. Decision 6
adds that inverse as one authoring projection alongside the
existing pretty-printer; the JSON-AST remains the source of truth.
Architectural pin: data structure is the source of truth
The textual surface is not a replacement for the JSON-AST. It is one projection among potentially many. Concretely:
- The JSON-AST keeps its role as the canonical, hashable, content- addressed representation of a module. All hashing, content- addressing, cross-module references, and typecheck/codegen input flow through the JSON-AST. No new hashable form is introduced.
- The textual surface (form A, this Decision) is the AI authoring projection: optimised for me producing programs token-efficiently and for foreign LLMs producing programs from a spec. It is not optimised for human authors and does not need to be human-pleasant.
- Future projections are explicitly anticipated: a visual / graphical
front-end is a plausible second projection for human review and
inspection (display being the one case where non-AI eyes matter).
The architecture leaves room: any producer of well-formed
ailang-core::ast::Modulevalues is a valid front-end. - No human is expected to author AILang seriously. Authoring is AI work. Display and verification, by contrast, are concerns where human-facing alternatives may be useful — and which can therefore layer their own projections on top of the same AST without touching the surface or the core.
In code terms: ailang-core owns the AST. ailang-surface (new in
Iter 14c) is one producer/consumer pair: text-form-A → AST → text-
form-A. A hypothetical ailang-visual would be a different producer
of the same AST. ailang-check and ailang-codegen consume only
the AST and remain projection-agnostic.
Constraints (hard, in priority order)
- Formalizable for a foreign LLM. The grammar must fit in an EBNF/PEG spec of ≤ 30 productions. A model that has never seen AILang must be able to read the spec and produce conforming source zero-shot. Rules out: precedence between binary operators, semantic indentation, maximal-munch lexing, context-sensitive reductions.
- AST-isomorphic. Every surface form maps to exactly one AST shape. Round-trip surface → AST → canonical JSON → AST → surface is the identity (modulo formatting). Hashes computed via the round-tripped JSON must equal hashes of the same module written directly in JSON.
- No external symbols. ASCII only. No Greek (
∀), no arrows (→), no subscripts. Reasoning: I substitute mojibake for non-ASCII characters under context pressure; foreign LLMs vary in how they tokenize Unicode. - No precedence. Either everything is parenthesized, or there
are no infix operators. Prefer the latter —
add(x, 1)overx + 1. Removes a fail mode for both me and foreign LLMs. - No semantic indentation. Block structure expressed by paired delimiters or terminator tokens. Indentation is informational only; the parser ignores it.
- One construct per token-list. Every AST node corresponds to exactly one parenthesized form (or atom). No "sometimes you can omit the parens" rules.
- AST surface stays frozen. The surface adapts to the AST, not the other way around. We do not change the JSON schema or invalidate hashes to make the surface prettier.
Candidate notations (same map encoded in each)
The reference target — the polymorphic map from examples/list_map_poly.ail.json:
data List a where Nil | Cons a (List a)
fn map : forall a b. ((a) -> b, List a) -> List b
= \f xs. match xs of Nil -> Nil
| Cons h t -> Cons(f(h), map(f, t))
(A) S-expression with fully-tagged AST nodes
(module list_map_poly
(data List (vars a)
(ctor Nil)
(ctor Cons a (con List a)))
(fn inc
(type (fn-type (params (con Int)) (ret (con Int))))
(params x)
(body (app + x 1)))
(fn map
(type
(forall (vars a b)
(fn-type
(params (fn-type (params a) (ret b)) (con List a))
(ret (con List b)))))
(params f xs)
(body
(match xs
(case (pat-ctor Nil) (term-ctor List Nil))
(case (pat-ctor Cons h t)
(term-ctor List Cons
(app f h)
(app map f t)))))))
Grammar core (3-rule lexical layer + ~25 named-form productions):
sexpr ::= atom | "(" sexpr* ")"
atom ::= integer | string | ident
ident ::= any maximal non-whitespace, non-paren run that is not
a recognised integer or string literal.
The lexer recognises one delimiter (( / )) and whitespace.
Every other maximal token is classified post-hoc:
- All-digit run with optional leading
-→ integer atom. "-delimited run → string atom.- Otherwise → ident.
Consequence: operators like +, ==, <=, **, qualified
names like io/print_int, and cross-module references like
std_list.map are all single ident tokens with no special lex
rule. The only reserved tokens are (, ), and whitespace.
Bool literals (true, false) and unit ((lit-unit)) are
disambiguated by parser context, not by lex.
Every AST node form has a unique head keyword (module, data,
fn, forall, fn-type, con, var, app, lam, match,
case, pat-ctor, term-ctor, do, seq, ...). A bare atom in
a positional slot (e.g. inside (con List a) second position) is
a name reference whose sort is determined by the parent slot:
- inside
(con NAME args...)second-and-later positions → type expression. Bare atom there ⇒Type::Var { name }. - inside
(app HEAD args...)first position ⇒Term::Var. - inside
(pat-ctor CTOR fields...)field positions ⇒Pattern::Var. - inside
(case PAT BODY)second position ⇒ term.
There is no lexical case rule. To construct a value with a
ctor, write (term-ctor TypeName CtorName args...). To match
against one, write (pat-ctor CtorName fields...). Capitalised
identifiers carry no special meaning to the parser. This rules
out a class of silent errors ("I forgot to capitalise Cons and
it parsed as a function call").
Pros: smallest formal grammar of any candidate (the lexical
core is 3 rules; the named-form productions are uniform — every
node a tagged list). Foreign-LLM bar lowest. Round-trip with the
existing pretty-printer is a refactor of pretty.rs to emit this
tagged form, plus a new parser.
Cons: paren density is high. (forall (vars a b) (fn-type ...)) has more visual nesting than the current pretty-printer's
forall a. (...) -> .... Verbosity is ~2× JSON for the same node
when measured in characters, but ~8× shorter in lines (the
existing JSON box.ail.json of 160 lines becomes ~20 lines in
this form).
(B) Indented record-style with explicit terminators
module std_list
data List(a):
Nil
Cons(a, List(a))
end
fn map:
type: forall a b. fn(fn(a) -> b, List(a)) -> List(b)
params: f, xs
body:
match xs:
Nil => Nil
Cons(h, t) => Cons(f(h), map(f, t))
end
end
Grammar core (~20–30 productions): module-level (def/data/end), type sub-grammar (forall, fn, con, var), term sub-grammar (lam, match, ctor, app, lit, var, seq), pattern sub-grammar.
Pros: higher information density per line, closer to mainstream
ML/Haskell shape. Cons: four sub-grammars instead of one.
forall a b. fn(...) keeps a pseudo-precedence (-> binds tighter
than the outer fn(...) wrapper). Foreign-LLM bar higher.
(C) Pretty-printer-as-source
Use exactly the format pretty::module already emits, plus a parser
that accepts it. The existing pretty-printer's quirks (:: for
type-of, [params] for fn-params, <a> for type-args, forall a. ...,
!IO, () ambiguous between unit-arg-list and empty-form) become
the spec.
Pros: zero churn — the existing pretty-printer is already the
spec; only the inverse is missing. Round-trip is the identity by
construction. Cons: the existing format mixes four mini-dialects
(s-expr at term level, ML-shape at type level, square brackets for
params, <> for type args). Formalising it crisply is harder than
designing a uniform form from scratch.
First choice and rollback plan
Try (A) first. Reasoning: constraint 1 (formalizable) outweighs
constraint readability. (A) has a 3-rule core grammar with one
lexical disambiguation rule. (B) doubles the rule count and
re-introduces a soft form of precedence (-> inside forall).
(C) is tempting because it is zero-design but the resulting spec is
visibly heterogeneous, which is exactly what constraint 1 was meant
to rule out.
If implementing (A) reveals that paren density actively hurts my authoring (measurable: I make more wrong-paren errors than the JSON-AST shape produced before), roll back and try (C). (B) stays on the shelf for a future iter only if both fail.
Implementation outline (Iter 14c onwards, not done in 14b)
crates/ailang-surface— new crate. Strictly additive. PEG parser produces existingailang-core::asttypes. No new AST nodes, no schema changes, no new hashable form. Pretty-printer for form (A) lives here too (the round-trip is the contract).ailang-check,ailang-codegenare not modified. They continue to consumeailang-core::ast::Modulevalues regardless of which projection produced them.- Round-trip test: for every
examples/*.ail.json, parse the corresponding hand-written*.ailx, canonicalise, and assert hash-equivalence to the original. Hash equivalence is the truth check; the surface ships only if every fixture round-trips identically. - CLI:
ail parse <file.ailx> -o <file.ail.json>. Symmetric to existingail render..ail.jsonremains a first-class input to every existing subcommand; the parser is a producer, not a gatekeeper. - Iter 14d: stdlib (
std_list,std_maybe, ...) authored in form (A) from day one because that is the AI authoring projection, not because JSON authoring is forbidden. The resulting.ail.jsonis what tests and downstream tools see.
What this Decision deliberately does not do
- It does not promote form (A) to the source of truth. Form (A) is one projection; the JSON-AST stays canonical.
- It does not foreclose visual or graphical front-ends. The crate
layout (
coreowns AST;surface/visual/... are siblings) reserves that lane. - It does not remove
.ail.jsonas input. Every existing CLI subcommand (check,render,describe,emit-ir,build,run,manifest,deps,diff,workspace,builtins) keeps its current.ail.jsoninterface.
Form refinements during Iter 14c implementation
Two productions in the original 14b sketch had to be widened during implementation to round-trip the existing AST faithfully. Captured here for the spec record:
-
lam-termcarries types and effects. The AST'sTerm::Lamstores parallelparams,param_tys,ret_ty, andeffectsfields. The 14b sketch had only names. The implemented form islam-term ::= "(" "lam" "(" "params" typed-param* ")" "(" "ret" type ")" effects-clause? body-attr ")" typed-param ::= "(" "typed" ident type ")"This keeps the no-precedence / one-construct-per-token-list invariants and adds no new lexical rules.
-
import-clauseadmits an optional alias. The AST'sImport.aliasisOption<String>; the original sketch only supported theNonecase. The implemented form isimport-clause ::= "(" "import" ident ("as" ident)? ")"asis a bare ident token in this position; no special lexical rule is needed.
Neither change extends the grammar's rule budget meaningfully:
the 30-production ceiling of constraint 1 is intact (the parser
implements ~28 named productions). All 17 examples/*.ail.json
fixtures round-trip identically through print → parse → canonical JSON; the three hand-written .ailx exhibits parse to canonical
JSON identical to their corresponding .ail.json files.
-
Tail-call surface (Iter 14e). Decision 8 ships two new productions, both positional analogues of their non-tail counterparts. Their result terms set
Term::App.tail = true/Term::Do.tail = true; the typechecker'sverify_tail_positionspass enforces that the marker is only used in tail position.tail-app-term ::= "(" "tail-app" term term+ ")" tail-do-term ::= "(" "tail-do" ident term* ")"Production count after Iter 14e: ~30, still inside the 30-rule constraint-1 budget. No new lexical rule (
tail-app/tail-doare bare ident tokens; no special casing).
Form (B) — human prose projection (Family 20)
Status: shipped. Family 20 (Iter 20a–20d, 2026-05-08) ships a
second textual projection of the AST: ailang-prose, a one-way
projection from Module → human-readable text. It is not an
authoring surface; it is the "display" projection that Decision 6's
architectural pin (line 167–176) explicitly anticipated:
"Future projections are explicitly anticipated: a visual / graphical front-end is a plausible second projection for human review and inspection (display being the one case where non-AI eyes matter). The architecture leaves room: any producer of well-formed
ailang-core::ast::Modulevalues is a valid front-end."
Form (B) targets the specific failure mode where a human reviewer needs to read an AILang module quickly. Form (A) was designed to fit a 30-production EBNF spec and to be parsed zero-shot by foreign LLMs; that prioritisation makes it dense and visually noisy for human readers. Form (B) inverts the trade-offs:
- Rust-flavoured surface. Braces and
=>for match arms, Rust-aligned 4-level operator precedence, infix arithmetic (a + b, not+(a, b)), unary!fornot. - Lossy by design. Projection elides machinery the LLM can
re-derive:
(con T)wrappers ((con Int)→Int), the(fn-type (params ...) (ret ...))wrap,(term-ctor T C ...)collapses toC(...), redundant parens. Only the AST machinery whose information is recoverable from typecheck context. - Lossless on load-bearing detail. Mode annotations
(
own T,borrow T), effects (with IO), explicitclone,reuse-as, doc strings, type annotations on signatures and lambdas, thetailflag — all preserved verbatim.
Critically, form (B) has no parser. Form (A) is round-trippable
by construction (Decision 6 constraint 2); form (B) deliberately is
not. Re-integrating prose edits requires an external LLM mediator,
not a compiler pass — see docs/PROSE_ROUNDTRIP.md for the
six-step cycle and the prompt template ail merge-prose composes.
Form (B) does not weaken any Decision 6 invariant:
- The JSON-AST remains the only hashable artefact. Prose is not hashed, not content-addressed, not load-bearing for any cross-module reference.
- Form (A) remains the canonical authoring surface. Foreign LLMs still author against form (A); humans review and edit through form (B).
- The 30-production grammar of form (A) is unchanged.
ailang-checkandailang-codegenremain projection-agnostic;ailang-proseis a downstream consumer ofailang-core::ast, parallel toailang-surfacebut in the rendering direction only.
The CLI gains ail prose <m.ail.json> (the deterministic
projection) and ail merge-prose <m.ail.json> <edited.prose.txt>
(the mediator-prompt composer); both are listed in the CLI section
below.
Iter 20f update — Form-A spec embedding. The 20d merge-prose
prompt instructed the LLM to emit JSON-AST and offered a 12-line
schema-essentials reminder; that combination did not give a
foreign LLM enough to produce valid output. 20f revises this:
- The LLM emits Form-A (the canonical authoring surface), not
JSON. JSON-AST stays the only hashable artefact, but it is not
a writing surface. The user runs
ail parse foo.new.ailxbeforeail checkto produce the canonical JSON. crates/ailang-core/specs/form_a.mdis the complete LLM-targeted Form-A specification — grammar, every term / pattern / type / def keyword, schema invariants, pitfall catalogue, four few-shot modules drawn fromexamples/*.ailx. It is exported asailang_core::FORM_A_SPECand embedded verbatim in everymerge-proseprompt.crates/ailang-core/tests/spec_drift.rswalks every variant ofTerm,Pattern,Type,Def,Literalvia exhaustivematchand asserts an anchor for each appears in the spec. The exhaustive match is the load-bearing piece: adding a new variant without updating the match fails compilation in this test, before its assertions even run. Hand-written content, mechanical drift detection.
The discussion of richer integration paths (LLM tool-use, MCP server, LSP) was deferred — all three layer additively on the static-prompt path 20f ships, which remains the lowest-common-denominator fallback that always works.
Decision 7: redundancy removal — Term::If is not a primitive
Status: REVERTED in Iter 14g. This decision was made on shaky grounds —
applying CLAUDE.md's "no redundancies" rule to a case that turned out to
be primitive control flow, not redundancy. The post-removal match-on-Bool
form (3× the tokens, asymmetric pat-wild for the false case) was
worse for token economy and worse for the natural shape of the language.
Term::If is restored. The text below is preserved for the audit trail.
Term::If { cond, then, else_ } is semantically a subset of
Term::Match on Bool. Per CLAUDE.md the language must contain no
redundancies; two AST nodes for the same operation produces an
authoring decision with no semantic content and an extra codegen
path. Iter 14d removes Term::If. Migration shape on the JSON side:
{"t":"if","cond":C,"then":A,"else":B} → {"t":"match","scrutinee":C, "arms":[ {"pat":{"p":"lit","lit":{"kind":"bool","value":true}},"body":A}, {"pat":{"p":"wild"},"body":B}]}
The wildcard arm satisfies the typechecker's
primitive-needs-wildcard rule. A future iter may upgrade the
exhaustiveness check to recognise the true+false arm pair as
covering Bool without a wildcard; until then, wildcard is the
canonical migration target.
No schema version bump (no third-party consumes ailang/v0).
Hash invalidation for the three migrated fixtures (sum, sort,
max3) is intentional; the new hashes become the new identity.
Decision 8: explicit, verified tail calls
For an LLM author, recursion is the natural iteration form
(\n. if n == 0 then () else loop(n-1) is what I reach for, not
a for-loop). Without a tail-call guarantee, every recursive
program has a silent stack-depth ceiling that no compile-time
diagnostic warns about. That is exactly the class of correctness
hazard the language exists to eliminate.
Solution: explicit, verified tail calls.
- AST.
Term::App { fn, args, tail: bool }andTerm::Do { op, args, tail: bool }gain atailflag, serde-defaulting tofalseso existing fixtures load withtail: falseand their hashes stay bit-identical. - Typecheck. A new pass
verify_tail_positions(fn_body)runs after the main type-check. It walks the body with anis_tail_context: boolthreaded down. The flag istrueat the start,truefor the body of everyTerm::Matcharm,truefor the right operand ofTerm::Seq,truefor the body ofTerm::Let,truefor the body ofTerm::Lam(each Lam opens its own tail scope). The flag isfalsefor: args of anyApp/Do/Ctor, scrutinee ofMatch, left ofSeq, condition ofLet-bound expression. When the walker visits anApp { tail: true }orDo { tail: true }, the flag must betrueat that visit; otherwise emit diagnostictail-call-not-in-tail-position. - Codegen. Emit
musttail call(LLVM IR) for marked calls instead of plaincall. LLVM rejects at IR-verification time if the call cannot physically be a tail call (calling convention mismatch, signature divergence, etc.). The reject surfaces as a hard build error, not a silent runtime surprise. - Form (A). Two new keywords:
tail-app,tail-do. Productions are positional analogues ofapp/dowithtail: trueset on the resulting term. EBNF gains 2 lines; total production count goes from ~28 to ~30, still inside the constraint-1 budget.
What this does NOT promise. Per the 14d tail-call survey,
many existing recursive calls are not in tail position
because they are arguments to constructor calls (e.g.
Cons (f h) (map f t)). 14e adds annotation + verification;
it does not add a CPS transform or accumulator-form
rewrite. Programs whose recursion is constructor-blocked
will continue to be stack-bounded by recursion depth. The
canonical authoring pattern in such cases is to write the
accumulator-form variant (map_acc, fold_left, etc.)
explicitly. The stdlib (15a onward) ships both forms where
relevant.
The 14d migration of existing fixtures will be partial: only
print_list-style terminal recursions get marked. The
constructor-blocked recursions in map, sort, insert
remain unmarked — they cannot benefit from musttail
without a source-level rewrite.
Decision 9: dual allocator — RC canonical, Boehm parity oracle
Status: half-retirement as of 2026-05-09. Originally framed (2026-05-07) as "transitional Boehm until the RC pipeline (Iters 18a–18g) lands and the default flips"; then re-framed (2026-05-08) as a symmetric dual-allocator policy with Boehm as the CLI default. The 2026-05-09 revision flips the asymmetry to match Decision 10:
- RC is canonical.
--alloc=rcis the CLI default forail buildandail run. The runtime AILang's memory model (RC + uniqueness inference) is designed for. New examples, benches, and corpus tests run under RC unless they explicitly pin GC. - Boehm stays as a parity oracle.
--alloc=gcremains reachable. Its load-bearing job is differential diagnosis: when RC produces a segfault, refcount underflow, or wrong stdout, the GC build of the same module is the cheap "memory bug or logic bug?" probe. The end-to-end suite includes per-example parity tests that run both backends and assert byte-identical stdout — those tests are what make the oracle real. --alloc=bumpis unchanged: a leak-only bench instrument, not a production target.
Full Boehm retirement (drop libgc, remove the gc backend) reopens when the parity oracle stops paying its keep — concretely, when a few iter families ship without the gc arm catching anything that the rc arm did not already catch. Until then, the cost of keeping libgc as a build dependency is accepted in exchange for diagnostic leverage. Decision 10 (RC + uniqueness) holds as the specification of the canonical runtime; the rest of this section documents the Boehm half, retained as the oracle.
The --alloc=bump mode introduced for the bench is a
measurement tool, not a production target.
Through Iter 14e, every ADT box, lambda env, and closure pair was
allocated with bare malloc and never freed. That worked for the
17 test fixtures (all small, all short-lived) but is incompatible
with any real workload — a stdlib fold over a million-element
list would leak a million boxes. The "Goal" section's "no GC for
the MVP" framing predates the parameterised-ADT pipeline (Iter 13)
and the explicit-recursion expectation (Iter 14e); both make a
collector necessary.
Choice: Boehm-Demers-Weiser conservative GC. The simplest working option:
- Replace
malloc(...)withGC_malloc(...)in every IR site (currentlylower_ctor's ADT box,lower_lambda's env block and closure pair). - Replace the IR-level
declare ptr @malloc(i64)withdeclare ptr @GC_malloc(i64). - Add
-lgcto theclanglink command (incrates/ail/src/main.rs'sBuild/Runpaths). - No language-level change. No AST change. No schema change.
Rationale:
- Mature. Boehm has been the default conservative GC for
decades. Linux distros ship it as
libgc/libgc-dev/gc(Arch). - No language work. Conservative scan of the C stack handles AILang's stack frames without LLVM stack-map infrastructure (which is its own multi-iter design).
- Single-iter integration. Lift-and-shift of the four allocation sites; all existing tests must still pass with identical output.
Trade-offs accepted:
- Conservative over-retention. A user-supplied
Intfield whose value happens to coincide with a heap address will pin that allocation. In practice, vanishingly rare for typical values; survivable. - Pause time non-deterministic. Boehm uses stop-the-world mark-sweep. For LLM-author-written stdlib code at MVP scale, pause times are not the bottleneck.
- Build-time dependency.
libgcmust be installed on the build host. Users without it get a link-time error from clang, not a silent failure.
A future iter may layer a per-fn-arena optimisation on top: when a fn's return type contains no boxed ADT, ADT boxes allocated inside that fn cannot escape, so an arena freed at fn return is sound by construction (per the 14e GC notes). That requires escape analysis, the corresponding AST/IR plumbing, and is its own design pass. Boehm-everything is the floor; arena is an optimisation above it.
Per-fn arena via stack alloca (Iter 17a)
Iter 17a layers exactly that optimisation, in its simplest form.
ailang-codegen runs an escape-analysis pre-pass over every fn
body (and every lifted lambda thunk body); allocations the pass
proves do not outlive the fn frame are lowered to LLVM alloca
instead of @GC_malloc. Allocations that may escape continue to
use @GC_malloc. The Boehm collector is still linked and
unchanged; this is purely an optimisation above the floor.
Allocation mechanism: LLVM alloca (not a heap arena). Stack
allocation matches the "freed at fn return" lifetime exactly,
needs no malloc/free pair, and integrates with LLVM's existing
optimiser (mem2reg / SROA may further promote the alloca'd box
to registers if the box is small and its uses are simple). No
new runtime is introduced; no language-level change; no AST or
schema change.
Escape rule (conservative). A Term::Ctor or Term::Lam
allocation is non-escaping iff (1) it is the value of a
Term::Let { name = X, value = ALLOC, body = B }, and (2) the
body B does not let any value derived from X flow past the
fn frame. "Derived from" follows two propagation rules:
- A
Term::Matchwhose scrutinee is aVarreferring to a tainted name propagates taint to every pattern-bound name in every arm. (Pattern bindings hold field projections of the scrutinee, which live inside the same allocation.) - A
Term::Let { name = Y, value = Var(t), ... }wheretis tainted makesYtainted in the let's body.
A tainted name "escapes" if it appears in any of: the tail
position of B, the arg list of any Term::App / Term::Do,
the field list of a Term::Ctor, or the free-var capture set of
a Term::Lam. The closure-pair-callee position of Term::App
where the callee is a bare Var to the tainted name is NOT an
escape (calling locally is fine).
What this is not. Not a region-inference system. Not flow-sensitive within an arm. Not field-sensitive (pattern bindings are tainted wholesale). Precision can be improved later; correctness is the priority for this iter. A pessimistic answer (claiming an allocation escapes when it does not) only loses optimisation, never correctness.
Codegen integration. Three sites in
ailang-codegen/src/lib.rs:
lower_ctor— ADT box.lower_lambdaenv block (when there are captures).lower_lambdaclosure pair (always 16 bytes).
Each site queries the per-fn non_escape: BTreeSet<usize> (raw
pointer addresses of Term::Ctor / Term::Lam AST nodes flagged
as non-escaping). On a hit the emitter writes
alloca i8, i64 <size>, align 8; on a miss it writes
call ptr @GC_malloc(i64 <size>). The rest of the lowering (tag
store, field stores, closure-pair packing) is identical.
The closure-pair and its env share an escape verdict — they have parallel lifetimes. If the closure pair is non-escaping, the env is too.
Decision 10: memory model — RC + Uniqueness with LLM-author annotations
Committed 2026-05-08, after the GC bench (bench/run.sh) showed
Boehm contributing ~60% of runtime on allocation-heavy workloads
that hold the heap fully live. Sharpened later the same day: the
mainstream "RC + inference" position was extended with mandatory
LLM-author mode annotations (borrow / own), explicit clone,
first-class reuse-as, and drop-iterative data attrs.
The cost of GC is structurally in the allocate path — Boehm's
GC_malloc is ~2.8× slower than a bump pointer, and the bench
workloads exercised allocate cost without collection cost.
Tracing GC's irreducible variability cannot be tuned away; RC's
costs are bounded and analysable per program point. A corpus
committed to one memory model is expensive to switch — pre-
stdlib is the cheapest moment to commit.
Choice. AILang's canonical memory model is reference counting
with static uniqueness inference and explicit LLM-author
annotations on fn signatures, in the lineage of Lean 4 / Roc /
Koka. Boehm becomes a transitional allocator (Decision 9) and is
retired when the RC pipeline matches the bump-allocator floor
within an acceptable margin (target 1.3× on bench/run.sh).
Workload scope of the 1.3× target. The 1.3× target was
calibrated on the original bench/run.sh corpus: linear list
sum (bench_list_sum) and tree walk (bench_tree_walk) — uniform
single-allocation-per-step workloads where one inc/dec pair
amortises against one allocation. Iter 21'b extended the corpus
with bench_closure_chain (closure-pair allocation: each step
allocates two heap objects, the closure cell and its captured
env struct) and bench_hof_pipeline (poly-ADT + indirect
dispatch). The closure-chain fixture's measured rc/bump = 4.14×
reflects the doubled allocation tax on closure construction —
each step pays two allocs and two decs against one bump-pointer
bump. This is a representational cost of the closure-pair layout,
not a defect in the RC implementation; a future slab/pool
allocator for fixed-shape pair cells (Decision 9 retirement
follow-up) would compress this ratio without changing semantics.
The 1.3× retirement target therefore applies to the linear /
tree / poly-ADT subset of the corpus. Closure-heavy workloads are
tracked under a wider band (the 21'g baseline records 4.14×
as the rc_over_bump reference value with ±15% tolerance) and
are explicitly excluded from the Boehm-retirement gate until a
slab/pool answer ships. Decision-10's RC commitment is unchanged;
what is scoped is the quantitative retirement criterion, not
the choice of memory model.
The architecture has two layers:
- Inference. A post-typecheck pass produces a per-node uniqueness side table. Codegen uses it to elide inc/dec wherever provably redundant.
- LLM-author annotations. Fn signatures carry mandatory
(borrow T)/(own T)mode markers. Authors mark sharing-vs-consumption explicitly. The compiler verifies rather than guesses.
The combination plays to what LLMs are good at (writing slightly more annotation per definition) and avoids what compilers are bad at (proving sharing absent in the face of recursion + closures + match).
Why not other memory models
Tracing GC. Open-ended. Boehm's bench number (~60% allocate- path overhead) is structural; tuning Boehm cannot move that needle. A precise tracing GC would need read/write barriers, root maps, generational machinery — months of work, with irreducible pause-time variability at the end. The user's framing was decisive: "Am GC kannst du ewig rumschrauben (und bekommst trotzdem auch in 100 Jahren keine berechnbare Performance)."
Region inference (Tofte/Talpin / MLton-style). Considered
seriously; rejected. Regions tie lifetimes to dynamic scope —
every value lives in some region, regions stack on entry/exit,
deallocation is bulk-by-region. The reduction: a region is an
explicit allocator with sugar plus a static check that nothing
escapes its lifetime. The deeper problem: regions assume
stack-shaped lifetimes. Real programs have non-stack-shaped
lifetimes — caches, memo tables, registries, lookup structures
whose lifetimes are not nested. Regions would either force these
into a letregion at the top of main (everyone's allocator
becomes the root region — useless), or require a region per
cache variant (combinatorial). RC has no lifetime-shape
assumption; it works for any DAG.
Linear / ownership types as primary mechanism (Rust-style).
Considered as a general-purpose alternative; rejected as primary.
Rust's borrow-checker is a great mechanism but requires the
author to thread lifetimes through every signature and accept
that some programs cannot be expressed without unsafe. For an
LLM-targeted language with recursion + closures everywhere, that
cost is too high — most of the source surface would be lifetime
annotations rather than logic. AILang uses a subset of these
ideas (mode annotations, linear consumption discipline)
selectively, layered on top of RC, where the annotations buy
concrete optimisations and never have to thread lifetimes
through callees.
The LLM-aware sharpening
A mainstream RC implementation (think Lean 4 in default mode) infers everything from naked AST plus a few optional hints. The inference is conservative; whatever it can't prove unique becomes shared and pays runtime inc/dec. AILang exploits its target audience to push that conservative ceiling higher.
Five mechanisms.
(1) Mandatory (borrow T) / (own T) on fn signatures.
(fn list_length
(type (fn-type (params (borrow (List Int))) (ret (con Int))))
...)
(fn sum_list_consume
(type (fn-type (params (own (List Int))) (ret (con Int))))
...)
(borrow T) declares the parameter is read-only and lives at
most until the call returns; the caller still owns it; the
callee performs no inc/dec on it. (own T) declares ownership
transfer; the callee consumes the value and is responsible for
its end-of-life. The declaration is structural (visible in JSON)
and binding (the typechecker rejects bodies that contradict it).
For a Lean 4 / Roc author this is all optional and inferred when omitted. AILang makes it mandatory because the LLM author can carry the cognitive cost trivially, and the compiler gains a precise contract at every call site instead of a probabilistic guess.
(2) Linear-by-default consumption with explicit (clone X).
In bodies, every binder is consumed by exactly one own-mode
use. If the LLM writes:
(let p (expensive_fn x)
(let r1 (consume_a p) ; consume_a takes (own); consumes p
(let r2 (consume_b p) ; ERROR: p already consumed
...)))
the compiler emits a structured non-linear-use diagnostic with
concrete suggested_rewrites:
- "make consume_a borrow": refactor consume_a's signature, no body change at the call site;
- "explicit clone": insert
(clone p)at the first use; - "fuse traversal": replace the two separate calls with a fused fn.
The LLM picks one. There is no implicit clone — sharing always costs visible source.
(3) Reuse hints as first-class.
(fn map_inc
(type (fn-type (params (own (List Int))) (ret (own (List Int)))))
(params xs)
(body
(match xs
(case Nil Nil)
(case (Cons h t)
(reuse-as xs (term-ctor List Cons (app + h 1) (app map_inc t)))))))
(reuse-as SRC NEW-CTOR) asks the codegen to allocate NEW-CTOR
in SRC's memory slot. Compiler verifies: SRC is owned, this
is its last use, sizes match. On a hit: no malloc, no free — the
box is overwritten in place. On a miss: structured diagnostic
explains which precondition failed; the LLM either adjusts the
surrounding code or removes the hint.
This matches Lean 4 / Roc reuse analysis but lifts it from "compiler-inferred when possible" to "author-asserted, compiler- verified". The LLM applies it everywhere it expects to fire and lets the compiler bounce the request when it can't.
(4) (drop-iterative) annotation on data declarations.
(data Tree (vars a)
(ctor Leaf)
(ctor Node a (Tree a) (Tree a))
(drop-iterative))
When the refcount of a Tree value reaches zero, the synthesised
dec-on-zero traversal is iterative (worklist + heap-allocated
stack) instead of recursive. Avoids stack overflow on deep
structures. The LLM adds the annotation where appropriate; the
compiler refuses to emit recursive dec-cascade on annotated types.
(5) Structured compiler diagnostics with suggested_rewrites.
Every RC-mode error (use-after-consume, mode-mismatch, reuse-as-fail, drop-cascade-too-deep) emits a JSON object containing the failure kind, the source span, and a list of concrete rewrite suggestions in form-A AILang. The LLM consumes these without prose-parsing. This is the missing half of the LLM-as-author story: the language spec defines not only what compiles, but what the compiler tells the author when it doesn't.
Language-design constraints (binding)
The four constraints below are necessary preconditions for RC to be sound and complete without a cycle-collector backstop. They are not new — AILang already satisfies all four — but Decision 10 makes them load-bearing rather than incidental:
- Strict evaluation. Every
Term::Appargument is fully evaluated before the call. No laziness, no thunks. (Already true.) - No recursive value bindings.
(let x EXPR ...)evaluatesEXPRin a scope wherexis not bound. Recursion is exclusively viaTerm::LetRec(which binds a fn, not a value) and module-level fn defs. (Already true.) - No shared mutable refs. Values are immutable once
constructed. There is no
ref,IORef,Mutex, or any primitive that allows a value to be mutated from a position outside its allocation. (Already true.) - ADTs are acyclic by construction. Strict evaluation + no-recursive-value-bindings + no-shared-mutable-refs together guarantee that any value graph reachable from a binding is a DAG. The reference graph has no cycles. (Follows from 1–3.)
A future iter that proposes any of laziness, recursive value bindings, shared mutable state, or any feature that creates cycles must either prove the cycle is collectible by an extension (e.g. linear ownership) or be rejected at design time.
Schema additions
Iter 18a — parameter modes on Type::Fn.
The form-A surface for fn signatures gains mode wrappers:
(fn-type (params (borrow (List Int))) (ret (con Int)))
(fn-type (params (own (List Int))) (ret (own (List Int))))
Internally, this is not a new Type variant. Modes are
metadata on Type::Fn:
Type::Fn {
params: Vec<Type>,
param_modes: Vec<ParamMode>, // same length as params
ret: Box<Type>,
ret_mode: ParamMode,
effects: Vec<String>,
}
enum ParamMode { Implicit, Own, Borrow } // default: Implicit
The substantive reasons for per-position metadata over a
Type::Borrow / Type::Own variant approach:
- Semantic locality. Modes are properties of fn-signature
parameter positions, not of types in general.
Intdoes not have a mode; a fn-parameter slot does. Embedding modes inTypewould let the schema express forms like(con List (borrow Int))— syntactically possible, semantically meaningless (you cannot separately own/borrow a list element from the list it lives in). Decision 1 is "schema = data, schema permits exactly what is meaningful"; per-position metadata is the option that holds that line. - Compositional clarity. A
Typevalue's identity should depend only on the type. Two functions with the same param / ret types but different calling conventions shareType::Fn.paramsand differ only inparam_modes. That is the right factoring: "what data does this carry" is one axis, "how is it transferred" is another. Mixing them under a single hierarchy conflates the two and makes both harder to reason about. - Future-proof against more position metadata. If later iters
add other per-position properties (streaming receiver, captured-
by-closure, lifetime witness), they generalise as additional
metadata fields on
Type::Fn— one consistent hierarchy. The variant approach would force every new dimension into its ownType::*variant (Type::Streamed,Type::Captured, ...) and combinatorics blow up:Type::Borrow(Type::Streamed(T))versusType::Streamed(Type::Borrow(T))raise questions of canonical ordering that don't exist when modes live in a flat metadata vector.
Implicit is the legacy (pre-18a) state — semantically
equivalent to Own but printed bare ((con T), no wrapper).
Own and Borrow are explicitly annotated.
JSON canonical hash for every pre-18a fixture stays bit-
identical: param_modes is skipped when every entry is
Implicit, ret_mode is skipped when Implicit. Existing
modules emit the same bytes as before.
The legacy (con T) form is treated as (own T) semantically
throughout the 18-series; a later iter (deferred) makes the
explicit annotation mandatory and rejects Implicit for boxed
parameter types.
(An incidental observation, not a design reason: keeping Type
itself unchanged also avoids touching ~250 sites across the
typechecker / desugar / codegen that match on Type variants.
This is a tiebreaker, not a rationale — the substantive reasons
above are what justify the choice.)
Iter 18c/18d — new Term variants.
Term::Clone { value: Box<Term> } ; `(clone X)` — explicit RC inc
Term::ReuseAs { source: Box<Term>, body: Box<Term> } ; `(reuse-as SRC NEW-CTOR)`
Term::ReuseAs is structured as a wrapper around a body
term rather than as a reuse_from: Option<String> modifier on
Term::Ctor. Two substantive reasons:
- Compositional flexibility. Reuse-as is conceptually a
wrapper that says "this expression's allocation comes from
<source>'s slot". The wrapper form generalises naturally if future iters introduce other allocating constructs (record literals, opaque box wrappers, capability cells) — they all become validbodypositions. A modifier onTerm::Ctorwould have to be replicated on every constructible Term variant the language grows. - Source-locality at the head.
(reuse-as SRC NEW-CTOR)reads as a single sentence with the source-binder named at the head. The modifier form would scatter the reuse intent across a child position of the constructor's argument syntax, separating thesourcefrom the rest of the reuse-as semantics.
The trade-off this accepts: the schema permits Term::ReuseAs { body } where body is not an allocating form (e.g. a
literal, a var). Such terms are caught at typecheck via a
reuse-as-non-allocating-body diagnostic — structural rejection
in the typechecker, not the schema. This is the same trade-off
Decision 7 made for Term::If's relationship to nested
Term::Match: prefer composability over schema-level
rejection where the typecheck rule is unambiguous.
Iter 18e — TypeDef attribute.
TypeDef.drop_iterative: bool ; `(drop-iterative)`
All four are skipped during serialisation when absent / false / None so canonical-JSON hashes of every fixture remain stable until the fixture intentionally adopts the feature.
Iter 19b — FnDef.suppress.
FnDef.suppress: Vec<Suppress> ; advisory diagnostic suppress list
struct Suppress {
code: String, // diagnostic code being suppressed
because: String, // mandatory non-empty reason
}
Form-A surface: (suppress (code "...") (because "...")) clause
between fn name and (type ...). Multiple clauses allowed; one
per entry. Form-B (prose) renders one
// @suppress <code>: <because> line per entry above the doc
string — lossless, contract metadata.
Skipped from serialisation when empty so pre-19b fixtures keep
bit-identical canonical-JSON hashes (regression-pinned by
iter19b_empty_suppress_preserves_pre_19b_hashes and
iter19b_schema_extension_preserves_pre_19b_hashes).
Advisory diagnostics — Iter 19a-arc
The 19a-arc (19a / 19a.1 / 19b) introduces the language's first
advisory typechecker diagnostic and the suppression mechanism
that goes with it. Decision 10's mandatory-annotation rule is
unchanged: param_modes and ret_mode remain author-required;
the typechecker does not infer them. What's new is feedback when
an authored annotation is stricter than necessary.
The lint: over-strict-mode (Iter 19a + 19a.1). Fires on a
fn-param p annotated (own T) when:
p'sconsume_count == 0(uniqueness pass: the body never consumespas a whole).- For every match arm whose scrutinee is
p, no heap-typed pattern-binder hasconsume_count > 0.
The heap-type filter is load-bearing for soundness:
match xs { Cons(h, t) => h } records consume_count(h) == 1,
but h: Int is read by-value — no RC traffic, no heap data
moved out of xs's allocation. Filtering primitive-typed
binders is what lets the lint correctly identify head_or_zero
as over-strict (could be borrow) while staying silent on
sum_list where t: List is moved out.
Severity: Warning. The first ever Warning-level diagnostic;
prior to 19a all diagnostics were Error. CLI exit semantics
adjusted: ail check, ail build, ail emit-ir exit 1 only on
at least one Error. Warnings print but do not abort.
The suppression: mode-strict-because (Iter 19b). Authors
who want to keep an over-strict annotation deliberately (e.g.
RC codegen-test fixtures, fns reserved for planned in-place
mutation) attach a Suppress entry naming the diagnostic code
and a non-empty reason. The typechecker drops matching
diagnostics from the output. Empty because is a hard error
(empty-suppress-reason); wrong-code suppresses are silent
no-ops (open-set diagnostic registry — a suppress for a code
that doesn't fire today may exist defensively for a code that
might fire after a future edit).
Why advisory + suppress instead of inference
Three reasons, all anchored in Decision 10's framing:
- Annotation states intent; inference picks
weakest-supporting. These often coincide today but are
conceptually different. The annotation captures what the
author committed to (e.g.
(own T)reserved for a planned mutation that hasn't landed); inference would silently relax it. - Annotation is a drift-bremse. Body change that flips the inferred mode produces caller-side breakage at remote sites. Annotation enforces the local-conflict-error pattern instead.
- Forcing function for LLM authoring. Without mandatory annotation, the LLM never has to commit to ownership intent before writing the body. The advisory lint plus suppress lets us flag accidental over-strictness without weakening the contract.
The suppress mechanism with mandatory-reason mirrors Rust's
#[allow(...)]-style escape hatch but sharpens it: the reason
is required (not optional), and it becomes part of the contract
the next reader sees. CLAUDE.md's "preserve correctness across
development cycles" is what this directly serves.
Inference algorithm (Iter 18c)
Post-typecheck, post-lift_letrecs, pre-codegen pass over the
elaborated module. For each Term node that produces or binds a
boxed value, the pass computes a uniqueness flag:
- Unique: at this program point, the reference is the only outstanding reference to its referent.
- Shared: there may be multiple outstanding references.
A reference is unique if every path from its allocation to the
current program point passes through exactly one binding. The
inference is a forward dataflow over the AST. The annotations
from 18a (borrow / own) provide the inter-fn contract; the
inference fills in intra-fn detail. (Implementer-level detail in
the Iter 18c brief.)
Codegen contract (Iter 18b, 18c)
Memory layout (Iter 18b):
- Every heap allocation has an 8-byte refcount header, followed
by the payload.
ailang_rc_alloc(size)returns a pointer to the payload; the header is atptr - 8. ailang_rc_inc(ptr): loadptr - 8, +1, store. Non-atomic (single-threaded).ailang_rc_dec(ptr): load, -1, store; if zero, recurse-dec child references andfree(ptr - 8). For(drop-iterative)types, the recursion is replaced by a worklist loop (Iter 18e).
Codegen for Term::Ctor / Term::Lam env / closure pair under
--alloc=rc calls ailang_rc_alloc(SIZE). Iter 18b stops there
— inc/dec instrumentation is added in Iter 18c, once the
inference is wired up. Until then, --alloc=rc deliberately
leaks like the pre-Boehm era; this is purely about plumbing.
Mode metadata is load-bearing for codegen (Iter 18d–18g)
param_modes and ret_mode on Type::Fn are not merely
typechecker metadata — codegen consults both to decide where to
emit drop calls. The 18d.4 / 18g shipping work moved them from
"annotation that the typechecker enforces" to "annotation that
codegen reads to keep RC correct". Recorded here so the schema
metadata's role is explicit:
param_modes — drop-emission gates.
-
Iter B: Own-param dec at fn return. When a fn body fall-throughs to a
ret(no tail-call), every parameter withparam_modes[i] == Ownis dec'd before theretiff its uniquenessconsume_count == 0and the ret value is not the param itself.BorrowandImplicitparameters are skipped:Borrowretains the caller's ownership by contract;Implicitcarries no static caller-handed-off-ownership signal (it's the back-compat lane). -
Iter A: arm-close pattern-binder dec. When a match-arm's body terminates without a tail-call, every ptr-typed pattern-bound binder pushed by the arm is dec'd at arm close iff its
consume_count == 0and it is not the arm's tail value, gated on the scrutinee's static ownership. If the scrutinee is a fn-param, onlyOwn-mode scrutinees enable the dec —BorrowandImplicitscrutinees would let the arm dec memory the caller still references. -
Iter 18g.1: pre-tail-call shallow-dec. When a match-arm's body IS a tail call, both Iter A and Iter B are skipped (the block is terminated). A separate seam in
lower_matchemits a shallowailang_rc_decon the scrutinee outer cell BEFORE the tail call, gated identically on the scrutinee mode plus the requirement that every ptr-typed slot in the active ctor's pattern is inmoved_slots[scrutinee].
ret_mode — let-binder trackability.
- Iter 18g.2:
Term::Appdrop at let-scope close. A let-binder whose value isTerm::App { callee, .. }is trackable for scope-close drop iff the callee'sret_mode == Own. The signal is the callee's static contract that ownership of the freshly heap-allocated cell flows to the caller.Borrow-returning calls remain non-trackable (the callee retains ownership; the caller holds a view, not an own ref).Implicit-returning calls remain non-trackable (back-compat lane).
The drop fn's symbol resolution for an Own-returning App:
synthesise the call's return type, resolve Type::Con { name }
to drop_<owner>_<T> (with cross-module qualification through
the import map). Falls back to shallow ailang_rc_dec for
returns that are not Type::Con (e.g. unresolved type vars on
a polymorphic call's pre-monomorphisation site; the
monomorphised copies resolve to concrete drop fns).
What this widening does NOT do.
- Does not change the canonical hash.
param_modes/ret_modewere already hash-load-bearing as of Iter 18a; the 18d–18g iters add codegen consumers, not new schema fields. - Does not introduce a new
Typevariant. Mode metadata stays flat onType::Fn(see "Schema additions" above on why). - Does not cover let-aliases of borrowed values. A let-binder
whose value is
Term::Varreferencing aBorrow-mode param is not yet propagated through; the param-mode gates treat such a binder as "owned" (itscurrent_param_modeslookup misses, default = owned). This is a known carve-out shared by Iter A and 18g.1; closing it is a propagation pass through let-bindings that has not shipped yet.
Migration plan
- Iter 18a:
(borrow T)/(own T)annotations as a language feature. Schema, parser, JSON, typechecker. No codegen change.(con T)≡(own T). Existing fixtures unchanged. - Iter 18b: RC runtime.
runtime/rc.cwith header layout + alloc/inc/dec. Codegen--alloc=rcroutes allocation throughrc_alloc; no inc/dec yet.--alloc=gcremains default. - Iter 18c: uniqueness inference + codegen inc/dec
instrumentation. Combines 18a's annotations with intra-fn
dataflow. Linear-by-default enforcement turns on.
(clone X)in theTermschema. - Iter 18d: reuse hints + reuse analysis.
(reuse-as ...)form. Codegen rewrites dec+malloc into in-place overwrite when the precondition holds. - Iter 18e:
(drop-iterative)data attr. Worklist-based free for annotated types. - Iter 18f: RC validation bench. RC validated within target
on
bench/run.sh(live=0; tail latency 23× better than Boehm; RSS lower). Retirement of Boehm executes in two steps: first a default-flip (2026-05-09 —--alloc=rcbecomes the CLI default, GC retained as parity oracle; see Decision 9 above); second a full removal once the oracle stops paying its keep (gating condition: a few iter families with no GC-only diagnostic wins). - Iter 19a / 19a.1 / 19b: advisory
over-strict-modelint- precise sub-binder analysis with heap-type filter +
FnDef.suppresssuppression mechanism with mandatory-reason. FirstSeverity::Warningdiagnostic; CLI exit gated on Error only. Decision 10's mandatory-annotation rule is unchanged.
- precise sub-binder analysis with heap-type filter +
Adjacent extensions for mutability (out of Decision 10's scope)
If future workloads need mutable arrays, hash tables, or other inherently mutable primitives, the answer is not a tracing GC backstop. The answer is a separate ownership/linear extension that gates mutability behind static single-owner discipline. RC
- uniqueness is the universal floor; ownership extends it for specific high-performance primitives without rebreaking the acyclicity invariant. Concrete design deferred until the need materialises with a real workload.
What this Decision deliberately does not do
- Does not infer everything. An earlier draft of this Decision said "uniqueness is fully inferred" — that was the mainstream RC position. The 2026-05-08 follow-up discussion replaced it: AILang demands annotations because the LLM author can produce them effortlessly. The compiler does inference plus verification of contracts.
- Does not require existing fixtures to migrate immediately.
Iter 18a treats
(con T)as(own T). Existing JSON hashes stay bit-identical until the fixture is intentionally updated. - Does not commit to atomic refcounts. AILang is currently single-threaded. If/when concurrency arrives, atomic-vs-non- atomic will be a separate decision per allocation kind.
- Does not introduce regions. Regions were considered and rejected; see "Why not other memory models" above.
Mangling scheme (Iter 5c)
All AILang functions are mangled to @ail_<module>_<def> — even in the
single-module case. Constants likewise (@ail_<module>_<const>). Global
string literals carry a short hint for readability:
@.str_<module>_<hint>_<idx> (e.g. @.str_sum_fmt_int_0). The entry point
is a define i32 @main() trampoline (C / LLVM ABI) that calls
@ail_<entry-module>_main(). source_filename exists exactly once per
workspace and carries the entry-module name (<entry-module>.ail).
Convention: qualified cross-module references (Iter 5b)
Cross-module calls use no new AST node. Instead, a Term::Var { name }
with exactly one dot in the name is a qualified reference: <prefix>.<def>.
<prefix>is an import alias (import { module: "X", as: "<prefix>" }) or, when imported without an alias, the module name itself.<def>is the name of a top-level definition in the target module.- Def names MUST NOT contain a dot — the typechecker reports
invalid-def-namewithctx: { "reason": "contains-dot" }. - The workspace loader (Iter 5a) finds all reachable modules; the
typechecker (Iter 5b,
check_workspace) resolves dotted names through the import map. Diagnostic codes:unknown-module(prefix not imported),unknown-import(module found, def not).
Hash stability: no new AST node, no renamed fields — all previous module hashes stay bit-identical.
Data model
The on-disk JSON-AST is what the toolchain hashes, typechecks, and
lowers. Every node in this section is the schema mirror of an enum or
struct in crates/ailang-core/src/ast.rs; whenever the two disagree,
ast.rs is the source of truth. Every additive field is declared with
skip_serializing_if so pre-existing fixtures keep bit-identical
canonical-JSON hashes — that gating contract is what makes growing
the schema cheap.
Module
{
"schema": "ailang/v0",
"name": "<id>",
"imports": [{ "module": "<id>", "as": "<id>" }],
"defs": [Def...]
}
Def
kind ∈ { "fn", "const", "type" }. All three are real surface forms.
// fn (the unit that gets a content hash)
{ "kind": "fn",
"name": "<id>",
"type": Type, // typically Type::Fn, optionally wrapped in Forall
"params": ["<id>"...], // names bound in body, in type.params order
"body": Term,
"doc": "<optional string>",
"suppress": [Suppress...] // Iter 19b, omitted when empty
}
// const (top-level value; codegen emits as a global; body must be pure)
{ "kind": "const",
"name": "<id>",
"type": Type,
"value": Term,
"doc": "<optional string>"
}
// type (algebraic data type; Iter 5; parameterised since Iter 13a)
{ "kind": "type",
"name": "<id>",
"vars": ["<id>"...], // type parameters; omitted when empty (pre-13a hash-stable)
"ctors": [
{ "name": "<id>", "fields": [Type...] } // nullary ctor: fields = []
...
],
"doc": "<optional string>",
"drop-iterative": true // Iter 18e opt-in; omitted when false (pre-18e hash-stable)
}
Suppress (Iter 19b — entry in FnDef.suppress):
{ "code": "<diagnostic-code>", // e.g. "over-strict-mode"
"because": "<author reason>" // must be non-empty;
// empty/whitespace fires `empty-suppress-reason` (Error)
}
Term (expression)
{ "t": "lit", "lit": Literal }
{ "t": "var", "name": "<id>" }
// fn application; tail flag is Iter 14e (musttail under codegen).
// `tail` is omitted when false (pre-14e hash-stable).
{ "t": "app", "fn": Term, "args": [Term...], "tail": false }
{ "t": "let", "name": "<id>", "value": Term, "body": Term }
// Local recursive let (Iter 16b.1). Always fn-shaped. The desugar pass
// lifts most `letrec` to a synthetic top-level fn; `lift_letrecs` (16b.3)
// finishes the job after typecheck for the residue that captures
// let-bound names. Post-codegen, no `letrec` survives.
{ "t": "letrec",
"name": "<id>", "type": Type, "params": ["<id>"...],
"body": Term, "in": Term }
{ "t": "if", "cond": Term, "then": Term, "else": Term }
// Effect-op invocation. `op` is "<eff>/<op>" (e.g. "io/print_int").
// `tail` per Iter 14e (omitted when false).
{ "t": "do", "op": "<eff>/<op>", "args": [Term...], "tail": false }
// Ctor application; `args` omitted when empty.
{ "t": "ctor", "type": "<id>", "ctor": "<id>", "args": [Term...] }
{ "t": "match", "scrutinee": Term, "arms": [Arm...] }
// Anonymous fn value (Iter 8b); free vars captured from enclosing scope.
{ "t": "lam",
"params": ["<id>"...],
"paramTypes": [Type...],
"retType": Type,
"effects": ["<id>"...],
"body": Term }
// Sequencing (Iter 10). Semantically `let _ = lhs in rhs`; lhs must be Unit.
{ "t": "seq", "lhs": Term, "rhs": Term }
// Iter 18c.1: explicit RC clone. Codegen lowers as
// `call void @ailang_rc_inc(ptr %v)` before returning %v under `--alloc=rc`.
{ "t": "clone", "value": Term }
// Iter 18d.1: explicit reuse-as hint. `body` must be allocating
// (typically `ctor` or `lam`); `source` must be a bare `var`. Codegen
// lowers as in-place rewrite under `--alloc=rc`.
{ "t": "reuse-as", "source": Term, "body": Term }
In the MVP, do is only a direct call to a built-in effect op (no
handler). A lam term constructs an anonymous function value; free
variables of its body are captured from the enclosing scope (see
Iter 8 closure conversion in JOURNAL).
Literal:
{ "kind": "int", "value": <i64> }
{ "kind": "bool", "value": <bool> }
{ "kind": "str", "value": "<utf-8>" }
{ "kind": "unit" }
Pattern (the pat field of an Arm; discriminator p):
{ "p": "wild" } // _
{ "p": "var", "name": "<id>" } // x — binds the value
{ "p": "lit", "lit": Literal }
{ "p": "ctor", "ctor": "<id>", "fields": [Pattern...] } // fields omitted when empty
Patterns are linear: each pattern variable may appear at most once.
Type
// Type-constructor application. `args` omitted when empty
// (pre-13a hash-stable for non-parameterised cases like Int, Bool, ...).
{ "k": "con", "name": "<id>", "args": [Type...] }
// Function type. Decision 10 (Iter 18a) added paramModes/retMode as
// metadata on Type::Fn — they are NOT separate Type variants, so every
// existing match-arm in the typechecker (unify, occurs, apply) keeps
// working. `paramModes` omitted when every entry is "implicit";
// `retMode` omitted when "implicit" (pre-18a hash-stable).
{ "k": "fn",
"params": [Type...],
"paramModes": [ParamMode...],
"ret": Type,
"retMode": ParamMode,
"effects": ["<id>"...] }
{ "k": "var", "name": "<id>" }
// Top-level polymorphism only.
{ "k": "forall", "vars": ["<id>"...], "body": Type }
ParamMode (Iter 18a / Decision 10):
"implicit" — pre-18a / unannotated. Treated as `own` by the typechecker.
"own" — (own T) — caller transfers ownership; callee consumes.
"borrow" — (borrow T) — caller retains ownership; callee may not consume.
implicit ≡ own semantically; the distinction exists so pre-18a
fixtures continue to serialize without the mode wrapper and keep their
canonical-JSON hash.
Pipeline
.ail.json ─┐
├─ load + validate schema
├─ resolve names + assign hashes
├─ desugar (AST → AST, Iter 16a)
├─ typecheck (HM, effect rows; mode-strict per Decision 10)
├─ lift_letrecs (post-typecheck AST → AST, Iter 16b.3)
├─ lower to MIR (SSA-like, named SSA values)
├─ emit LLVM IR (.ll)
└─ clang -O2 *.ll -o binary
--alloc=rc → emits inc/dec (@ailang_rc_inc / _dec; canonical, default)
--alloc=gc → links libgc (@GC_malloc; parity oracle)
Two allocator backends share the same MIR. --alloc=rc is the
canonical backend committed to in Decision 10 and the CLI default
since 2026-05-09: the typechecker enforces
(own) / (borrow) modes, codegen emits ailang_rc_inc / _dec
calls at the points dictated by linearity, and Term::Clone /
Term::ReuseAs materialise into actual rc-bumps and in-place
rewrites respectively. Boehm-on---alloc=gc is on the path to
retirement; see the JOURNAL queue.
The desugar pass (ailang-core::desugar::desugar_module) runs
before typecheck and codegen in every entry point of ailang-check
and ailang-codegen. It is a pure AST → AST rewriter — currently
only flattens nested constructor patterns (16a), but is the chosen
home for any future surface-smoothing rewrites that should not bloat
the core AST or the backends. Critical invariant: CheckedModule.symbols
in the check entry point continues to hash from the original
on-disk module, not the desugared one, so ail diff and ail manifest
report identities that match the canonical JSON the user is editing.
The lift_letrecs pass (ailang-check::lift_letrecs, Iter 16b.3)
runs after typecheck and before codegen, but only on the
build / run paths — the check subcommand stops at typecheck
and never sees a lifted module. It eliminates every Term::LetRec
that the desugar pass left in place (the case where at least one
capture is Term::Let-bound, so its type is only knowable after
inference). The output is a module with synthetic <hint>$lr_N
top-level fns appended, ready for codegen. Synthetic FnDefs added
by this pass do not appear in CheckedModule.symbols — same
invariant as the 16b.2 lifts in desugar.
CLI
ail check <module.ail.json> — loads, validates, typechecks
ail manifest <module.ail.json> — table: name :: type !effects [hash]
ail describe <module> <name> — detail of a definition (form-A body)
ail render <module.ail.json> — JSON-AST → form-A text (exact inverse of `parse`)
ail parse <module.ailx> — form-A text → canonical JSON-AST
ail prose <module.ail.json> — JSON-AST → form-B (lossy human prose, no parser; Family 20)
ail merge-prose <m.ail.json> <m.prose.txt>
— compose the LLM-mediator prompt for the prose round-trip
(see docs/PROSE_ROUNDTRIP.md)
ail deps <module.ail.json> — list cross-module references
ail diff <a.ail.json> <b.ail.json> — content-addressed def-level diff
ail workspace <entry.ail.json> — list all modules transitively reachable from entry
(`--json` for machine output;
`manifest --workspace` and `diff --workspace`
extend single-module subcommands to workspaces)
ail builtins — list built-in fns and effect ops
ail emit-ir <module> — writes .ll
ail build <module> — full pipeline → binary
ail run <module> — build + execute (tempdir), passthrough exit code
Verification and correctness (across cycles)
- Snapshot tests for the pretty-printer and IR emit. The diff makes regressions visible immediately.
- Property tests for the JSON ↔ pretty-print roundtrip.
- End-to-end tests for
examples/with expected program output. - Hash stability: a test ensures the same def always produces the same hash.
- CI pin of the outputs in
tests/expected/. - Rustdoc cleanliness:
cargo doc --no-depsruns warning-free. Maintained by theailang-docwriteragent (Iter 13d onward); fixing a rustdoc warning is part of the iter that introduced it, not a follow-up.
What is not (yet) supported
Snapshot of the boundary as of Iter 16a. Items move out of this list
as iterations land; the JOURNAL records the exact iteration. Recently
lifted gates that used to live here: cross-module ADTs (lifted in
Iter 14h via qualified module.Type / module.Ctor references in
both (con ...) and (term-ctor ...) / (pat-ctor ...) positions);
GC for ADT boxes, lambda envs, and closure pairs (Boehm conservative
collector wired up in Iter 14f, see Decision 9); nested constructor
sub-patterns inside match (lifted in Iter 16a via the desugar pass);
literal sub-patterns inside a Ctor pattern (lifted in Iter 16c — the
desugar pass rewrites every Pattern::Lit to a Term::If on ==,
both at the top level of an arm and inside a Ctor sub-pattern);
== extended from Int-only to a polymorphic
forall a. (a, a) -> Bool over Int/Bool/Str/Unit (lifted
in Iter 16e — codegen monomorphises and dispatches on the
resolved arg type; ADT/Fn arg types are rejected at codegen).
- No effect handlers — only the built-in IO and Diverge ops.
- No refinements / SMT escalation.
- No HM inference inside bodies. Top-level def types are explicit;
polymorphism is opt-in via
Type::Forall { vars, body }. Inside a body, lambdas check monomorphically against their declared type. - Polymorphic fns must be directly called at the use site.
Passing a polymorphic fn as a value (
let f = id in f(42)) is not yet supported — it would need one closure-pair global per instantiation, deferred. - No higher-rank polymorphism. Passing a polymorphic fn to another
polymorphic fn (
apply(id, 42)) is not supported. - No local recursive
let.let f = ... in ...only seesf's binding inside the body, not inside its own RHS — recursion needs a top-level def. - No visibility rules in imports. Every top-level def of an imported module
is reachable; there is no
pub/priv.
What is supported (and used as the smoke test for the pipeline):
- Int, Bool, Unit, Str as primitive types.
if,let, function calls, recursion.- Effects on function signatures, with
do op(args)for direct effect ops (io/print_int,io/print_bool,io/print_str). - Builtins. Arithmetic operators (
+,-,*,/,%) of type(Int, Int) -> Int; ordering operators and!=(!=,<,<=,>,>=) of type(Int, Int) -> Bool; logicalnot : (Bool) -> Bool; the IO effect ops listed above;==: forall a. (a, a) -> Bool (Iter 16e); and__unreachable__ : forall a. a(Iter 16d).==is polymorphic (Iter 16e). The typechecker accepts==at any type whose two sides agree (the rigidaof theForallis unified by HM at the use site). Codegen monomorphises and dispatches on the resolved AIL arg type:Int→icmp eq i64;Bool→icmp eq i1;Str→call @strcmp(ptr, ptr)thenicmp eq i32 0(@strcmpis declared in the LLVM IR header alongside@printf/@GC_malloc);Unit→ constanti1 true(Unit has a single inhabitant; both sides are still evaluated for any side effects). ADT andFnarg types are rejected at codegen with aCodegenError::Internalmentioning==and the offending type — neither has a canonical structural-equality scheme yet, and the language deliberately does not silently elide the check. The other comparison ops stay Int-only; their codegen path emitsicmp s{lt,le,gt,ge,ne}overi64.__unreachable__is a polymorphic bottom value: a use of__unreachable__typechecks against any expected type at the use site and codegens to the LLVMunreachableinstruction (UB if ever executed). It is the chain machinery's deepest fall-through for matches that the typechecker proved exhaustive, and it is available to user code as an explicit panic primitive ((if cond __unreachable__ ...)for assertions or impossible branches). Reference site isTerm::Var { name = "__unreachable__" }/ form-A bare__unreachable__.
- ADTs + pattern matching (Iter 3, extended in Iter 16a/16c).
Sub-patterns of a Ctor pattern may be
Var,Wild, anotherCtor(Iter 16a), or a literal (Iter 16c). The desugar pass flattens nested Ctor patterns into a chain of let + match and rewrites everyPattern::Lit(top-level or sub-) to aTerm::Ifon==before typecheck/codegen — seeailang-core::desugarand Pipeline above. - Literal patterns at top level and inside Ctor sub-patterns (Iter 16c,
via desugar).
(pat-lit 0)and(pat-ctor Cons (pat-lit 0) _)both parse and lower; the rewrite is toTerm::If { cond = (== sv lit) }, so any literal kind whose==is supported is authorable. After Iter 16e (==polymorphic overInt/Bool/Str/Unit), that covers every lit kind the AST ships — including(pat-lit "hi")over aStrscrutinee, exercised byexamples/eq_demo.ail.json. - Imports + qualified cross-module references via dotted names
(Iter 5). Extends to types and constructors (Iter 14h): a foreign
module's ADT is referenced as
(con std_pair.Pair a b), its ctors as(term-ctor std_pair.Pair MkPair x y)and(pat-ctor MkPair x y)inside that scrutinee. Std-library demos (examples/std_*_demo.ail.json) exercise this end-to-end. - AI-authoring text surface, form (A) (Decision 6 / Iter 14b–14c,
exclusive in 15e). The
ailang-surfacecrate parses.ailxform-A text into a canonicalailang-core::ast::Moduleand prints any module back as form-A text.ail renderandail describeuse it as the sole text projection;ail parseis the inverse direction. Round-trip identity (text → AST → JSON → AST → text) is gated byailang-surface/tests/round_trip.rsover every shipped fixture. - Memory management via Boehm conservative GC (Decision 9 / Iter 14f),
with per-fn arena via stack
allocafor non-escaping allocations layered on top (Iter 17a). Every ADT box, lambda env, and closure pair allocates either via@GC_malloc(escaping; Boehm-managed) or via LLVMalloca(non-escaping; freed at fn return). The decision is made by an escape-analysis pre-pass over the fn body — see Decision 9's "Per-fn arena via stackalloca" subsection. Boehm-only soak tests are unchanged:examples/gc_stress.ail.jsonandexamples/std_list_stress.ail.jsonstill allocate via@GC_mallocbecause their boxes flow into other fns and escape. The per-fn-arena path is exercised end-to-end byexamples/escape_local_demo.ail.json(Iter 17a fixture). - First-class function references (Iter 7). A top-level fn name (or
qualified
prefix.def) used as aTerm::Varis a fn-value. - Anonymous lambdas with capture (Iter 8).
Term::Lamconstructs a closure that captures any free variables of its body from the enclosing scope. All fn-values share a single ABI: aptrto a closure pair{ thunk_ptr, env_ptr }. Top-level fns get an auto- generated adapter and a static closure pair (env = null) so they remain passable as values without heap overhead. - Polymorphism via
Type::Forallat top-level def types (Iter 12). Use sites instantiate fresh metavars; unification pins them against the concrete types of the call args. Codegen monomorphises on demand: each unique instantiation emits a specialised LLVM fn mangled@ail_<m>_<def>__<descriptor>(e.g.id__IforidatInt,apply__I_Iforapplyat(Int, Int)). - Parameterised ADTs (Iter 13).
TypeDef.vars: Vec<String>declares type parameters;Type::Con.args: Vec<Type>carries the type arguments at use sites. Both fields default to empty and are skipped during serialization, so canonical-JSON hashes of every pre-13a definition stay bit-identical (regression test incrates/ailang-core/src/hash.rs). Ctor and match codegen stay inline at every use site — there is no specialised ADT symbol — but LLVM field types are derived per use site by substituting throughcdef.ail_fields. The substitution is read off the call's arg types (ctor) or the scrutinee'sType::Con.args(match). An unresolvedType::Varreachingllvm_typeis a hard error rather than a silent fallback toptr.
Pipeline regression smoke tests:
examples/sum.ail.json→ prints 55 (recursion, arithmetic).examples/list.ail.json→ prints 42 (ADTs + match).examples/hof.ail.json→ prints 42 (first-class fn-refs, indirect call).examples/closure.ail.json→ prints 42 (lambda capturing a let-bound var).examples/list_map.ail.json→ prints 2/4/6 (ADTs + closure + recursive HOF + IO; the dogfood smoke test).examples/sort.ail.json→ prints sorted [3,1,4,1,5,9,2,6,5,3,5] one-per-line (insertion sort over an 11-element list).examples/poly_id.ail.json→ prints 42 then "true" (polymorphic identity atIntandBool; two specialised fns emitted).examples/poly_apply.ail.json→ prints 42 (polymorphicapplywith a fn-typed parameter;apply(succ, 41)).examples/box.ail.json→ prints 42 (parameterised ADT round- trip:MkBox(42)constructed, then projected by a polymorphicunbox : forall a. (Box<a>) -> aand printed).examples/maybe_int.ail.json→ prints 7 then 99 (pattern match overMaybe<Int>:or_else(Some(7), 99)thenor_else(None, 99)).examples/std_list_demo.ail.json(Iter 15a/15b) → exercisesstd_list's combinators (length, sum, reverse, take/drop-style uses) end-to-end againststd_list'sList<a>.examples/std_maybe_demo.ail.json(Iter 15c) → exercisesstd_maybecombinators overMaybe<Int>, includingfrom_maybeandmap.examples/std_either_demo.ail.json(Iter 15d) → first program with three distinct type variables in a single fn (theeithereliminator), monomorphised six different ways in the IR.examples/std_pair_demo.ail.json(Iter 15f) → drives everystd_paircombinator (fst, snd, swap, map_first, map_second); expected output 7, 9, 9, 7, 8, 18.examples/nested_pat.ail.json(Iter 16a) → first program to use a nested(pat-ctor Cons a (pat-ctor Cons b _)); the desugar pass flattens it into a chain that the existing flat-match codegen consumes. Prints 30 for a 3-element input list.