What problem does it solve?
It prevents confusing, risky coding sessions by helping you locate the relevant existing implementation, patterns, and callers in the codebase before making non-trivial changes.
Core Features & Use Cases
- CodeGraph-powered discovery: Uses CodeGraph queries (symbols, edges, neighborhoods, and impact radius) to find where and how things are implemented and depended on.
- Evidence-backed context: Produces agent-ready context packets that cite concrete file:line references and include graph evidence when structural claims are made.
- Safety-first workflow discipline: Blocks or defers when the CodeGraph index is stale/partial or required proofs/receipts are missing, avoiding “stale hit as fact” errors.
- Typical scenarios: Understanding “how X works,” identifying “where X is handled,” finding “who calls X,” and locating “similar patterns to Y” before refactoring or implementing changes.
Quick Start
Ask your AI to search the codebase for the callers and related context of a symbol named exactly where it’s defined, then return the top cited file:line results for your next step.