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Enable semantic code retrieval and editing for faster AI-assisted development.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "serena" yet — see the docs or source repo.
Use semantic retrieval to analyze the parts of this repository related to user authentication. Identify the core modules, call relationships, and summarize the login flow.
A structured explanation of the authentication code, including key files, dependencies, and a flow summary.
Find all usages of the legacy logging interface in the project and refactor them to the new Logger API without changing behavior. Also provide a list of edits made.
Cross-file code edits completed, plus a change summary and list of affected locations.
Based on the error message and relevant code, retrieve the functions and data flow that may cause the null pointer exception. Explain the most likely root cause and suggest fixes.
A bug trace with relevant code paths, root cause analysis, and actionable fix suggestions.
Provides a token-efficient MCP server that cuts context usage without losing functionality.
Give AI coding agents filesystem, Git, database, and compute tools via MCP.
Safely retrieve, search, and analyze repository code structure for coding agents.
Unify coding agents into local MCP tools for recursive delegation and management.
Parse repositories, index symbols, and answer codebase questions autonomously.
Gives AI coding agents a structural map of your repository fast.