- Initialize Architecture and Implementation Plan
- Define Language Core and Syntax
- Design Compiler Architecture (LLVM/MLIR)
- Define Memory and Execution Model
- Design Concurrency and Asynchrony
- Define AI/LLM First-Class Integration
- Specify Machine Learning Core
- Detail Cybersecurity and Systems Capabilities
- Define Interop and ABI Strategy
- Outline Tooling and Ecosystem
- Finalize Specification Document
- Refine Syntax & Type System (Formalizing Grammar & Ownership)
- Deepen Compiler Architecture (MIR to MLIR/LLVM Lowering)
- Formalize AI/LLM Native Constructs (Prompts, Model Outputs, Sandbox)
- Detail ML Core (Autodiff, Tensors, GPU Kernels)
- Elaborate Security Model (Capability-based, Taint Tracking, Symbolic Execution)
- Finalize Refined Specification & Walkthrough
- Create Comprehensive Code Examples (Systems, AI, Web)
- Draft Compiler Prototype (Lexer/Parser in Python/Rust)
- Demonstrate MLIR/LLVM Lowering Logic (Conceptual)
- Define AST Nodes (Python/Rust)
- Implement Parser (Recursive Descent)
- Implement Semantic Analyzer Skeleton (Scope & Type Checking)
- Create AST Visualizer/Printer
- Implement MIR (Mid-Level IR) with SSA locals and BasicBlocks
- Implement AST → MIR lowering pass
- Implement Borrow Checker (Polonius-inspired)
- Implement LLVM IR codegen (x86_64)
- Implement @tool decorator parsing