ec6efe2cf2241a848ed26e1d24a85a65b87495d7
Researched the model under test. Qwen3-Coder-Next is a 3B-activated MoE (80B total, Feb 2026) trained for AGENTIC coding (codebase + tools + RL on environment feedback), not one-shot generation of unfamiliar syntax — exactly our task, so we tested its weakest discipline. Its tool-calling strength is agentic environment interaction, not emitting deep structured AST JSON, consistent with the tool probe being worst. The format direction is likely general but the magnitude is model-specific; bigger active models on the same IONOS endpoint (Llama-3.1-405B, Llama-3.3-70B) were never tried and are the obvious next step to separate format-effect from small-model-effect.
feat(lang): eliminate the Implicit ownership default — totality + the drop-soundness it demasks (#55)
Description
No description provided
Languages
Rust
91.6%
Python
4.6%
C
1.8%
LLVM
1.6%
Shell
0.4%