Codebase Context

Example Use Cases

• 1

  Curated and quantified coding patterns and conventions from your codebase.

• 2

  Remember team decisions and corrections across sessions.

• 3

  Check code impact and readiness before editing.

Description

Codebase Context is a local-first second brain for AI agents working on your codebase. It provides curated context including coding patterns, team conventions, file relationships, and quality indicators to ensure AI-generated code fits your team's style and architecture. It remembers corrections across sessions, checks before editing, and supports multi-project and monorepo setups. The tool auto-refreshes its index as you edit, keeping context fresh and relevant.