Improving Python AST Self-Healing for Multi-File Code Generation

What We Built Today

We enhanced LuxurAI Coder's 5-layer AST compiler to better handle multi-file Python refactoring. The system now tracks cross-file dependencies more accurately and has improved test failure recovery.

The Problem We Solved

Traditional AI coding assistants often break when making changes across multiple files. Our architecture solves this with:

• A sequential multi-model pipeline for planning and execution
• Hybrid orchestration combining external model APIs with local AST tooling
• The 5-layer validator ensuring syntax integrity

How The Architecture Works

1. SelfHealingValidator: Runs tests in isolated sandbox, feeding errors back for repair
2. PromptOptimizer: Enriches vague prompts with codebase context
3. EnsembleVoter: Selects cleanest implementation from parallel outputs
4. StructureCheck: Prevents accidental deletion of critical functions
5. AST Validator: Final syntax and indentation normalization

Transparent Economics

• ₹0.25 per credit (25 paise)
• No subscriptions, pure pay-as-you-go
• 45 free credits on signup

How We Can Make This Better

Looking for Python experts to test edge cases in:

• Large repository traversal efficiency
• AST-diff accuracy for complex refactors

Try the beta: LuxurAI Coder