Added paper-g-ai-assisted-compiler folder documenting:
- Week-long LLVM backend development with AI assistance
- Key insights from PHI/SSA struggles to Resolver API solution
- Development log capturing the chaotic reality
- Abstract in both English and Japanese
Key quote: 'I don't remember anymore' - capturing the authentic
experience of intensive AI-assisted development where the process
itself becomes the research data.
This represents potentially the first fully documented case of
building a compiler backend primarily through AI assistance.
- Added llvmlite verification harness strategy
- Python as parallel verification path for PHI/SSA issues
- Nyash ABI wrapper for LLVM emit abstraction
- NYASH_LLVM_USE_HARNESS=1 flag for mode switching
- Goal: Rust implementation in 1-2 days, Python for rapid verification
Acknowledging reality: When stuck at minimal viable implementation,
changing implementation language is a practical solution.
'Simple is Best' - the core Nyash philosophy.
PHI type coercion and core-first routing fixes:
- Auto type conversion for PHI nodes (i64↔i8*↔i1↔f64)
- Fixed ArrayBox.get misrouting to Map path
- Core-first strategy for Array/Map creation
- Added comprehensive debug logging ([PHI], [ARR], [MAP])
Results:
✅ Array smoke test: 'Result: 3'
✅ Map smoke test: 'Map: v=42, size=1'
After 34+ minutes of battling Rust lifetime errors,
ChatGPT5 achieved a major breakthrough\!
Key insight: The bug wasn't in PHI/SSA logic but in
Box type routing - ArrayBox.get was incorrectly caught
by Map fallback due to missing annotations.
We're SO CLOSE to Nyash self-hosting paradise\! 🌟
Once this stabilizes, everything can be written in
simple, beautiful Nyash code instead of Rust complexity.
