Enables LLMs to automatically diagnose coding errors through codebase search, test execution, and live debugger integration (DAP/V8 CDP). Provides a secure, policy-gated environment for investigating failures while preventing destructive operations.
Enables AI agents to investigate and repair Python/pytest repositories in isolated Git worktrees with audit trails, without modifying the original repository.
Enables reproducible evaluation of AI coding agents by exposing repository inspection, code editing, test running, and deterministic verification through MCP tools.
Enables AI clients to safely read, search, understand, and edit local project code and files, with Git inspection, code indexing, and controlled command execution within permissioned workspaces.
Enables deterministic evaluation of coding agents by exposing controlled repository tools and returning structured verification reports with pattern checks and repeat-run comparisons.
Combines AST intelligence and guarded file operations to provide a secure, controlled repository workflow for coding agents, enabling structural code analysis and safe edits without unbounded editor access.
