53a869136f
📚 ABI統合ドキュメント整理 & LLVM BuilderCursor改善
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## ABI関連
- docs/reference/abi/ABI_INDEX.md 作成（統合インデックス）
- 分散していたABI/TypeBoxドキュメントへのリンク集約
- CLAUDE.mdに「ABI統合インデックス」リンク追加
- ABI移行タイミング詳細検討（LLVM完成後のPhase 15.5推奨）
## LLVM改善（ChatGPT5協力）
- BuilderCursor導入でposition管理を構造化
- emit_return/jump/branchをcursor経由に統一
- PHI/terminator問題への対策改善
- より明確なbasic block位置管理
🤖 Generated with [Claude Code](https://claude.ai/code )
Co-Authored-By: Claude <noreply@anthropic.com >
2025-09-12 14:12:54 +09:00
a28fcac368
🔧 Add sealed SSA mode for PHI debugging (ChatGPT5)
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Added NYASH_LLVM_PHI_SEALED env var to toggle PHI wiring modes:
- NYASH_LLVM_PHI_SEALED=0 (default): immediate PHI wiring
- NYASH_LLVM_PHI_SEALED=1: sealed SSA style (wire after block completion)
- Added seal_block() function for deferred PHI incoming setup
- Enhanced PHI tracing with NYASH_LLVM_TRACE_PHI=1
This helps debug 'phi incoming value missing' errors by
comparing immediate vs sealed wiring approaches.
2025-09-12 12:30:42 +09:00
b120e4a26b
refactor(llvm): Complete Call instruction modularization + Phase 21 organization
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## LLVM Call Instruction Modularization
- Moved MirInstruction::Call lowering to separate instructions/call.rs
- Follows the principle of one MIR instruction per file
- Call implementation was already complete, just needed modularization
## Phase 21 Documentation
- Moved all Phase 21 content to private/papers/paper-f-self-parsing-db/
- Preserved AI evaluations from Gemini and Codex
- Academic paper potential confirmed by both AIs
- Self-parsing AST database approach validated
## Next Steps
- Continue monitoring ChatGPT5's LLVM improvements
- Consider creating separate nyash-llvm-compiler crate when LLVM layer is stable
- This will reduce build times by isolating LLVM dependencies
🤖 Generated with [Claude Code](https://claude.ai/code )
Co-Authored-By: Claude <noreply@anthropic.com >
2025-09-12 01:58:07 +09:00
4f4c6397a9
🏗️ Refactor: Major LLVM codegen modularization + Phase 15 docs cleanup + Phase 21 DDD concept
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## LLVM Codegen Refactoring (by ChatGPT5)
- Split massive boxcall.rs into focused submodules:
- strings.rs: String method optimizations (concat, length)
- arrays.rs: Array operations (get, set, push, length)
- maps.rs: Map operations (get, set, has, size)
- fields.rs: getField/setField handling
- invoke.rs: Tagged invoke implementation
- marshal.rs: Helper functions for marshaling
- Improved code organization and maintainability
- No functional changes, pure refactoring
## Phase 15 Documentation Cleanup
- Restructured phase-15 folder:
- implementation/: Technical implementation docs
- planning/: Planning and sequence docs
- archive/: Redundant/old content
- Removed duplicate content (80k→20k line reduction mentioned 5 times)
- Converted all .txt files to .md for consistency
- Fixed broken links in README.md
- Removed redundant INDEX.md
## Phase 21: Database-Driven Development (New)
- Revolutionary concept: Source code in SQLite instead of files
- Instant refactoring with SQL transactions
- Structured management of boxes, methods, dependencies
- Technical design with security considerations
- Vision: World's first DB-driven programming language
🤖 Generated with [Claude Code](https://claude.ai/code )
Co-Authored-By: Claude <noreply@anthropic.com >
2025-09-12 00:35:11 +09:00
3ac4a383e4
refactor(llvm): Modularize instructions.rs into focused submodules by ChatGPT
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Successfully split the massive instructions.rs (1400+ lines) into organized submodules:
Structure:
- instructions/mod.rs - Module exports and wiring
- instructions/blocks.rs - Basic block creation and PHI setup
- instructions/flow.rs - Control flow (Return, Jump, Branch)
- instructions/externcall.rs - External call handling
- instructions/newbox.rs - NewBox operations
- instructions/boxcall.rs - BoxCall lowering (main dispatch)
- instructions/strings.rs - String fast-paths (concat, length)
- instructions/arrays.rs - Array operations (get/set/push/length)
- instructions/maps.rs - Map operations (size/get/set/has)
- instructions/arith.rs - Arithmetic operations (UnaryOp, BinOp, Compare)
- instructions/mem.rs - Memory operations (Load, Store)
- instructions/consts.rs - Constant value handling
Benefits:
- Improved maintainability (each file ~200-400 lines)
- Clear separation of concerns
- No behavior changes (pure refactoring)
- All existing smoke tests pass
🤖 Generated with [Claude Code](https://claude.ai/code )
Co-Authored-By: Claude <noreply@anthropic.com >
2025-09-11 23:58:10 +09:00
