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CodeAtlas — Codebase Intelligence, Instantly The Problem: Inheriting a legacy or massive codebase is a nightmare. Developers waste hours mapping architecture, hunting orphaned files, and identifying untested logic. Dumping entire repos into LLMs is slow, expensive, and hallucination-prone. Our Solution: CodeAtlas uses a smart hybrid pipeline. Blazing-fast deterministic static analysis clones and scans any repository in milliseconds — instantly mapping architecture and flagging circular dependencies, dead code, missing test coverage, and undocumented functions, while strictly respecting .gitignore rules. Built with IBM Bob: IBM Bob was our development partner throughout. We used Bob's Architect Mode to plan and scaffold the entire system before writing a single line of code. Bob's Full Repo Context helped us generate the static analysis pipeline — including AST traversal logic, circular dependency detection, and the .gitignore-aware file walker. Bob's Code and Test Generation built out our Express backend services and wrote unit tests for our parsers. Bob's Doc Generation produced inline documentation and our README. Every non-trivial service in CodeAtlas was designed, reviewed, or generated in collaboration with Bob — cutting our build time in half and keeping the architecture clean across a 4-person team. The AI Edge: Instead of blindly spamming APIs, we filter for the top 5 highest-severity issues and pass only those to a high-speed Llama model. This delivers instant, context-aware risk summaries without burning API quotas or suffering from hallucinations. Who It's For: Engineering teams, open-source maintainers, and junior developers onboarding to complex projects who need immediate, accurate visibility into technical debt.
17 May 2026