Iter 14b: design pass for the authoring surface

User redirected at iter boundary: writing a stdlib in JSON was
the wrong move. The language is supposed to be the one I program
*best* in, and JSON-AST authoring is rationalisation, not
strength.

DESIGN.md Decision 6 captures the constraints that fall out of
the "formalisable for a foreign LLM" hard requirement (no
precedence, no semantic indentation, ASCII only, every AST node
a uniquely-tagged form), sketches three candidate notations with
the same `map` encoded in each, and picks form (A) — fully-tagged
S-expressions — as the first attempt with explicit rollback path
to form (C) if (A) hurts authoring.

Form (A) shape:
- 3-rule lexical core: sexpr / atom / token-classified-by-
  first-character.
- Every AST node has a unique head keyword. No case-rule (no
  "capitalised head means ctor"); ctors are explicit via
  `(term-ctor TypeName CtorName args)` and `(pat-ctor CtorName
  fields)`.
- Bare atoms get their sort from the parent slot (type-var
  inside `(con NAME args)`, term-var inside `(app HEAD args)`,
  pat-var inside `(pat-ctor CTOR fields)`, integer literal in
  term position, etc.).

Empirical exhibits, hand-encoded:
- examples/hello.ailx          5 LOC (JSON was 36 pretty / 21 canonical)
- examples/box.ailx           25 LOC (JSON was 160 / 88)
- examples/list_map_poly.ailx 50 LOC (JSON was 394 / 230)

4-8x line reduction, ~4x character reduction. Bigger gains on
bigger programs since overhead is proportional to AST depth.
None are parseable yet — header comments say "Iter 14b design
exhibit, parser lands in 14c".

Two small spec issues caught while writing the exhibits and
folded back into DESIGN.md before committing:
- Operator idents (`+`, `==`) need the token-by-first-char
  classification rule, not a word-shaped regex.
- Bool literals (`true`/`false`) reserved in term context;
  unit is explicit `(lit-unit)`.

Tests unchanged (this iter is paper). 25/25 e2e green.
cargo doc --no-deps zero warnings.

Plan 14c: new crate `ailang-surface` with PEG parser, round-trip
hash-equivalence gate against every existing `examples/*.ail.json`,
CLI subcommand `ail parse`. If round-trip holds, stdlib starts
in `.ailx` form (Iter 14d).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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2026-05-07 15:57:24 +02:00
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@@ -113,6 +113,233 @@ Rationale:
Trade-off: no inline optimisations through the LLVM API. We rely on
`clang -O2` as the standard pipeline.
## Decision 6: authoring surface (Iter 14b — WIP)
**Status: design pass in progress.** Reading without skipping the JOURNAL
will leave this section ahead of the implementation.
### 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:
1. The token-economy cost of the JSON-AST is massive: a single integer
literal `1` is encoded as `{"t":"lit","lit":{"kind":"int","value":1}}`
— ~38 tokens of structural overhead per bit of semantics. For a stdlib
in the 200500 def range this displaces real attention budget.
2. 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
makes that inverse the canonical authoring surface, with JSON-AST
demoted to "storage and exchange" only.
### Constraints (hard, in priority order)
1. **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.
2. **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.
3. **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.
4. **No precedence.** Either everything is parenthesized, or there
are no infix operators. Prefer the latter — `add(x, 1)` over
`x + 1`. Removes a fail mode for both me and foreign LLMs.
5. **No semantic indentation.** Block structure expressed by paired
delimiters or terminator tokens. Indentation is informational
only; the parser ignores it.
6. **One construct per token-list.** Every AST node corresponds to
exactly one parenthesized form (or atom). No "sometimes you can
omit the parens" rules.
7. **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 (~2030 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. PEG parser → existing
`ailang-core::ast` types. No new AST nodes.
- Round-trip test: every `examples/*.ail.json` → emit via
`pretty::module` → parse via new crate → re-canonicalise →
hash-equivalent to original. Hash equivalence is the truth check;
no surface form ships if a single fixture loses its hash.
- CLI: `ail parse <surface-file> -o <json-file>`. Symmetric to the
existing `ail render`.
- Then: rewrite one existing fixture (probably `box.ail.json`) in
the surface, hash-compare, commit both forms. Stdlib starts in
the surface from day one.
## Mangling scheme (Iter 5c)
All AILang functions are mangled to `@ail_<module>_<def>` — even in the