CodeMap
Import repositories, visualize architecture, and query large codebases with context-aware retrieval.
The problem
Engineers struggle to understand complex codebases and navigate architecture efficiently when joining projects or working with large repositories.
Understanding large unfamiliar codebases still takes developers days or weeks, even when the information already exists inside the repo.
The approach
Built repository import, indexing, and retrieval layers so developers can inspect architecture and query codebases through grounded context rather than guesswork.
Built around repository ingestion, structured indexing, and retrieval workflows that help developers understand unfamiliar systems faster.
Defining decision
Create a structured repository context layer before enabling search so answers can stay grounded in the actual codebase.
Indexing repositories upfront adds processing time, but it produces more reliable queries and more useful architecture views.
How it works
Step through the system. Each stage lists the safeguard that keeps it trustworthy.
Repo Import
A repository is ingested with its source tree, metadata, and structural relationships intact.
Preserves repository boundaries before any semantic processing begins.
Architecture notes
- Repository ingestion creates a structured context layer before search ever runs.
- Semantic indexing and retrieval keep answers grounded in the actual codebase.
- System views are designed to explain architecture, not just return snippets.
Product proof
Built and working
- Repository import surface for bringing in unfamiliar codebases
- Architecture graph layer for mapping system relationships
- Grounded query interface for code-aware retrieval
Engineering signals
- Deployed on Vercel
- PostgreSQL-backed indexing
- Repository import pipeline
What’s next
Harden the import pipeline and improve retrieval evaluation across larger, less familiar repositories.