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Autonomously edits, tests, and debugs codebases through an AI MCP server.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "CodePilot" yet — see the docs or source repo.
Analyze the failing tests in this codebase, find the root cause, update the relevant code, rerun the tests, and provide a fix summary.
Returns the root cause, modified files, fix explanation, and a summary of test results.
Add a user input validation feature to the existing project, follow the current code style, update or add tests, and run validation.
Outputs the implementation result, code change summary, and test validation status.
An API regression appeared after the latest changes. Inspect the relevant code paths, attempt a fix, and explain the behavior before and after.
Provides the regression cause, fix approach, affected files, and debugging results.
When developers face failing tests or known defects, they can use it to analyze the codebase, change the code, and run tests to reduce debugging time.
For small code changes that need to be completed quickly, it can act as an AI software engineer that uses code retrieval and reasoning to edit and validate changes.
Teams can integrate it as an MCP tool into MCP-compatible AI workflows to centrally access code editing, testing, and debugging capabilities.
CodePilot is an autonomous AI software engineer and an MCP server. According to the description, it uses LangGraph and a hybrid RAG index to autonomously edit, test, and debug codebases.
Its stated capabilities include editing code, running tests, and debugging codebases. For support details on specific workflows or language ecosystems, see the source repository.
The provided material does not include installation steps, runtime requirements, or API key setup details. Please see the source repository for prerequisites.
Analyze codebases with semantic search, dependency insights, and natural language Q&A.
Aggregate coding plan services for code review, plan review, and AI coding dialogue.
Aggregate coding plan services for code review, plan review, and AI coding dialogue.
Get intelligent, context-aware code reviews and improvement suggestions with MCP.
Inspect and edit local projects securely with files, Git, and commands.
Give AI coding agents filesystem, Git, database, and compute tools via MCP.