3 Commits

Author	SHA1	Message	Date
Selfhosting Dev	1f5ba5f829	💢 The truth about Rust + LLVM development hell ... ChatGPT5 struggling for 34+ minutes with Rust lifetime/build errors... This perfectly illustrates why we need Phase 22 (Nyash LLVM compiler)\! Key insights: - 'Rust is safe and beautiful' - Gemini (who never fought lifetime errors) - Reality: 500-line error messages, 34min debug sessions, lifetime hell - C would just work: void* compile(void* mir) { done; } - Python would work: 100 lines with llvmlite - ANY language with C ABI would work\! The frustration is real: - We're SO CLOSE to Nyash self-hosting paradise - Once bootstrapped, EVERYTHING can be written in Nyash - No more Rust complexity, no more 5-7min builds - Just simple, beautiful Box-based code Current status: - PHI/SSA hardening in progress (ChatGPT5) - 'phi incoming value missing' in Main.esc_json/1 - Sealed SSA approach being implemented The dream is near: Everything is Box, even the compiler\! 🌟	2025-09-12 05:48:59 +09:00
Selfhosting Dev	40d0cac0f1	feat(llvm): Complete function call system implementation by ChatGPT5 ... Major improvements to LLVM backend function call infrastructure: ## Key Changes ### Function Call System Complete - All MIR functions now properly lowered to LLVM (not just entry) - Function parameter binding to LLVM arguments implemented - ny_main() wrapper added for proper entry point handling - Callee resolution from ValueId to function symbols working ### Call Instruction Analysis - MirInstruction::Call was implemented but system was incomplete - Fixed "rhs missing" errors caused by undefined Call return values - Function calls now properly return values through the system ### Code Modularization (Ongoing) - BoxCall → instructions/boxcall.rs ✓ - ExternCall → instructions/externcall.rs ✓ - Call remains in mod.rs (to be refactored) ### Phase 21 Documentation - Added comprehensive AI evaluation from Gemini and Codex - Both AIs confirm academic paper potential for self-parsing AST DB approach - "Code as Database" concept validated as novel contribution Co-authored-by: ChatGPT5 <noreply@openai.com> 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-09-12 01:45:00 +09:00
Selfhosting Dev	3ac4a383e4	refactor(llvm): Modularize instructions.rs into focused submodules by ChatGPT ... 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