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Search repositories semantically and turn codebases into AI-ready context and knowledge.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "octocode" yet — see the docs or source repo.
Across repositories I can access, find real implementations related to JWT refresh tokens, prioritizing production code over tests, and summarize the key differences between implementations.
Returns relevant files, code snippets, repository locations, and a comparison summary of different implementation approaches.
Analyze the full flow from user signup to welcome email delivery, identify involved services, key functions, dependencies, and entry and exit points, then generate context for an AI coding assistant.
Outputs a structured flow description with call chains, core modules, dependencies, and a context summary suitable for follow-up AI prompts.
Help me find the live documentation, main entry files, core business logic, and configuration locations for the payments module, and explain what a new team member should read first.
Provides documentation links, key file paths, a module walkthrough, and a recommended reading order for quick onboarding.
Search and navigate multiple code repositories with natural language understanding.
Analyze codebases with semantic search, dependency insights, and natural language Q&A.
Turn any LLM into a codebase expert with search, mapping, and security insights.
Analyze code structure and Git history while drastically reducing AI token usage.
Enable semantic search across repository code and PR review comments.
Search, analyze, navigate, and scan multilingual codebases without API keys.