Constellation

About Constellation

Constellation maintains a structural map of your codebase that AI assistants query directly, replacing the grep-and-guess loop that coding agents fall into when they have no semantic model of the repository. The problem statement is precise about why text search fails: grep finds strings rather than relationships, so a function reached through several layers of abstraction is invisible and a dynamic import in a config file never gets checked. Two further failure modes follow — collective session amnesia, where every interaction re-discovers what a previous session already found and burns tokens speculatively opening files, and confidence without coverage, where context-window limits force an assistant to sample rather than scan exhaustively and it returns an incomplete answer with no signal that it is incomplete. Constellation indexes every function, class and type as a queryable graph, so an agent asked to rename a class gets back the exact count of importing files, the high-risk callers, and whether any circular dependencies exist before it touches anything. Impact analysis returns full dependency chains in milliseconds, which the site puts at roughly 10–20x faster than the equivalent search-based approach, and the same index is shared across the team so understanding accumulates rather than resetting per session. There is a free tier to get started, along with documentation and a blog.

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