Legacy Code AI Readability Adapter

Auto-organize vibe-coded legacy projects into AI-coding-agent-friendly structures

Problem

Many teams use tools like Lovable to quickly generate MVPs, but the codebase becomes hard to maintain. When AI coding agents are introduced, messy code organization and lack of documentation cause AI to fix one bug and introduce two more. Developers wonder if there's a way to make legacy codebases more readable for AI.

Solution

A CLI tool that scans a project and automatically generates an AI-coding-agent-friendly code map, module descriptions, and modification boundary suggestions. It doesn't rewrite business logic, but produces a context file consumable by AI, including key dependency graphs, implicit conventions, and danger zone markers, making tools like Claude Code and Codex more targeted when editing.

Users

Small teams and indie developers using AI coding agents to maintain legacy projects

MVP

Scan project structure and generate module dependency graph; identify frequently modified files and generate summaries; generate AI-friendly README snippets for each module; flag risky code areas prone to cascading changes; output as Markdown and JSON for AI agents to read

Revenue

Subscription, billed monthly by project size tier; or one-time purchase for desktop version

Why now

AI coding agents are becoming widespread, but readability of legacy codebases is a bottleneck; indie developers can quickly build static analysis tools without large model training