
CodeAtlas is an AI-powered engineering intelligence platform designed to help developers and engineering teams understand, audit, and modernize complex codebases. Modern software systems are increasingly difficult to reason about. As repositories grow, teams lose visibility into architecture, dependencies, technical debt, and change impact. Refactoring becomes risky, onboarding slows down, and modernization projects become expensive and unpredictable. CodeAtlas solves this problem by transforming GitHub repositories into interactive engineering intelligence. Users can import a repository directly from GitHub, and CodeAtlas automatically scans the codebase, analyzes dependencies, maps architecture relationships, identifies high-risk modules, and generates modernization insights. The platform includes: Interactive dependency graph visualization Risk-based module analysis Blast-radius simulation Technical debt estimation Architecture health scoring Dependency confidence analysis Engineering findings and onboarding guidance Suggested modernization sequences Exportable engineering reports One of the key goals of CodeAtlas is transparency. Instead of pretending the analysis is perfect, the system exposes dependency confidence limitations caused by unresolved imports, framework aliases, or dynamic imports. This makes the platform more trustworthy and operationally useful for real engineering teams. The frontend was built with Next.js, TypeScript, and React Flow, while the backend uses FastAPI with a custom repository scanner, dependency graph engine, and risk analysis system. CodeAtlas was built during the IBM Bob Hackathon to demonstrate how AI can assist engineering organizations with architecture visibility, modernization planning, and repository intelligence.
17 May 2026