Building a 5-Layer AST Self-Healing Loop for Multi-File Python Patches

What We Built Today

We enhanced LuxurAI Coder's ability to safely modify Python codebases by improving our 5-layer validation pipeline:

1. SelfHealingValidator - Now isolates test execution in a sandbox worker and automatically feeds failures back into repair loops
2. StructureCheck - Stronger guards against accidental deletion of critical functions/classes
3. AST Validator - More robust syntax tree traversal to prevent indentation and scope issues

The Problem We Solved

Most AI coding tools struggle with:

• Maintaining context across multiple files
• Safely executing test-driven repairs
• Preserving code structure during refactors

Our 5-layer AST compiler validator addresses this through hybrid orchestration of external model APIs and local verification tooling.

How The Architecture Works

The pipeline:

1. Parses the codebase into an AST and maps dependencies
2. Plans changes using hybrid model orchestration
3. Validates each edit through our 5 accuracy layers
4. Executes tests in isolation and auto-repairs failures

Transparent Economics

• ₹0.25 per credit (25 paise)
• 45 free credits on signup
• Zero subscriptions or VC funding

How We Can Make This Better

We'd love feedback from Python developers on:

• Improving AST-diff accuracy
• Reducing token overhead
• Any edge cases we should test

Try the beta: LuxurAI Coder