Improving Multi-File Codebase Traversal in LuxurAI Coder Beta

What We Built Today

Today, we focused on enhancing LuxurAI Coder’s ability to traverse multi-file codebases and parse Abstract Syntax Trees (ASTs) more efficiently. LuxurAI Coder is an autonomous software engineering agent designed to automate coding tasks directly inside real codebases.

The Problem We Solved

Handling large codebases with deeply nested dependencies and imports can be challenging. We needed to optimize token overhead and improve AST parsing accuracy to make the agent smarter and faster.

How The Architecture Works

LuxurAI Coder uses a multi-stage pipeline:

1. Planning Stage: Parses the AST and maps dependencies across multiple files.
2. Code Generation Stage: Generates atomic code changes based on user prompts.
3. Merge Validation Stage: Validates syntax, bracket balance, and pyflakes.

We also integrated a SelfHealingValidator that automatically fixes test failures by feeding runtime errors back into the agent for repair loops.

Transparent Economics

LuxurAI operates on a pay-as-you-go model at ₹0.25 per credit. No subscriptions, no hidden fees.

How We Can Make This Better

We’re looking for feedback from backend engineers on improving AST-diff accuracy and minimizing token overhead during large repository traversals.

Try Free

You can test LuxurAI Coder for free at https://luxurai.in. Let us know your thoughts!

What do you think? How can we improve the AST parsing and traversal logic? Share your feedback in the comments!