Provides AI coding agents with structured Git repository context including project state, code structure, activity, and risk analysis without modifying or uploading code.
Analyzes codebases from local directories, GitHub, and Azure DevOps, providing intelligent context to AI coding assistants through repository structure, critical files, and semantic maps.
Local-first codebase context engine that parses code into a ranked dependency graph and serves it to AI tools via MCP for deep structural understanding.
Live codebase intelligence for AI agents. Import graph PageRank for file importance, git forensics for co-change coupling and fragile code, convention detection across 16 domains, and blast radius analysis.
Deterministic context selection for AI coding agents. Scores and selects the minimal file set for each task, then records
outcomes into a local ledger that compounds into reusable patterns.
Provides a dependency graph of any local repository with tools for change impact, transitive dependents, health audits, and more, enabling AI coding agents to see structure and refactor safely.