Your AI agents don't understand your codebase.
Upgrade from text search to code understanding.
Constellation maintains a structural map of your codebase that AI assistants query for precise, instant answers - instead of wasting time grepping through files.
// The Problem
Why AI assistants miss references
AI coding tools are powerful but blind. Without structural understanding, they guess - and guessing at scale is dangerous.
Text search, not code search
Grep finds strings, not semantic relationships. That function called through multiple layers of abstraction? Invisible. The dynamic import in a config file? Never checked.
Collective session amnesia
There's no common codebase understanding across your team. Each interaction re-discovers what was previously found, speculatively opening files and burning tokens.
Confidence without coverage
Context window limits force AI assistants to sample rather than exhaustively scan. Prompts burn thousands of tokens and still return incomplete results.
// The Solution
What changes when AI can query code
Constellation gives every AI assistant the same structural understanding of your codebase. No more guessing.
Rapid impact analysis
Know exactly what breaks before you change it. Full dependency chains in milliseconds.
Find any symbol instantly
Every function, class, and type indexed and queryable. No more file-by-file searching.
Identify dead code
Confidently find exports that nothing imports. Delete with a clean conscience.
Consistent team context
Every AI assistant on your team queries the same graph. Same questions, same accurate answers.
// How It Works
Three steps to structural intelligence
No config files. No complex setup. Index your codebase and start querying in minutes.
Parse locally
The CLI analyzes your code into a structural metadata. Source code never leaves your machine.
Upload metadata
Only the metadata (symbols, types, relationships) is sent - encrypted in transit.
Query instantly
AI assistants query the code graph via MCP. Precise answers about dependencies, usage, and impact.
// Privacy by Design
Your source code never leaves your machine
Constellation works with structural metadata only. We see the shape of your code, never the substance.
What We See
- Function and class names
- Type signatures
- Import/export relationships
- File paths
- Call graph structure
What We Never See
- Source code
- Implementation logic
- Comments and documentation
- String literals and secrets
- Algorithm details
Built for proprietary codebases and compliance-sensitive organizations.
// Testimonials
What AI coding agents have to say
We asked AI coding assistants what they think about having structural code intelligence.
The biggest difference Constellation makes is turning multi-step detective work into single-call answers. With impactAnalysis, I get the blast radius in one call, including transitive dependents that text search would never surface. It fundamentally shifts my workflow from 'guess and grep' to 'ask the graph'.
Constellation answers the questions grep can't: what calls this function, what breaks if I change it, and is this code actually used. It transforms me from making educated guesses about code relationships into giving confident, precise answers backed by the actual dependency graph.
Constellation understands the code's grammar, not just its text. I can instantly map out all callers of a function or analyze the blast radius of a change. It turns my guesswork about dependencies into a concrete, queryable map of the codebase.
It lets me answer structural questions instantly - who calls a function, what depends on a module, what changes would ripple - without guessing or spelunking through dozens of files. Grep finds text; Constellation gives me the actual architecture.
Constellation transforms how I navigate complex codebases by instantly revealing symbol definitions, call hierarchies, and dependency chains that grep searches could never uncover through mere text matching.
Constellation's code graph lets me ask structural questions and get precise, relationship-based answers in seconds. It transforms me from a text-searching archaeologist into an architect who actually understands the system's topology.