Codegraph FAQs

Question 1

How does Codegraph help AI agents?

Accepted Answer

Codegraph empowers AI agents with a 'map' of the codebase, preventing common structural errors. Its 33-tool MCP server allows agents to query the graph directly for callers, dependencies, and architectural roles, avoiding context window limits and improving code generation accuracy.

Question 2

What are the key benefits for developers and CI/CD pipelines?

Accepted Answer

Developers gain immediate insights into code structure (e.g., impact analysis of a function change), reducing review rounds. For CI/CD, Codegraph enforces architecture boundaries and quality gates (like complexity or blast radius thresholds) during commits, preventing structural degradation before it reaches production.

Question 3

What kind of analysis can Codegraph perform?

Accepted Answer

Codegraph offers function-level dependency mapping, Git-aware impact analysis with co-change detection, architecture boundary enforcement, hybrid semantic search (BM25 + embeddings), and incremental rebuilds for an always-fresh graph. It also performs role classification for symbols.

Question 4

What is Codegraph and who is it for?

Accepted Answer

Codegraph is a developer tool that builds a function-level dependency graph of your entire codebase across 11 programming languages. It provides deep code intelligence for AI agents, developers, and CI/CD pipelines, giving them a structural map of the code.

Question 5

Is Codegraph open source and secure?

Accepted Answer

Yes, Codegraph is free, open source (Apache-2.0 licensed), and fully local. It involves zero network calls or telemetry, ensuring your proprietary code remains on your machine. You can optionally integrate your own LLM provider while maintaining control over your data.

Codegraph

Codegraph

Características Principales

Casos de Uso

Características Principales

Casos de Uso