Log in to Revibe via browser. Opens a browser window for authentication. After logging in and clicking Authorize, the API key is saved locally so all other Revibe tools work automatically.

Submit a GitHub repository for Revibe analysis. Analyzes architecture, file roles, execution flows, system design Q&A, and more. If no URL is provided, auto-detects from the current git remote. Analysis takes 3-7 minutes for most repos.

Check the status of a Revibe analysis job.

Get a condensed summary of a completed Revibe analysis. Shows architecture pattern, language, file count, key modules, and available sections.

Get a specific analysis section from a completed Revibe analysis.

Available sections:

• technical_architecture (or "architecture") — system layers, technologies, diagrams

• file_roles — what each file does, importance, dependencies

• system_design_qa — interview-style Q&A about design decisions

• story_flow (or "execution_flows") — how the app starts up and handles requests

• database_schema (or "database") — tables, relationships, ER diagrams

• concepts_explanation (or "concepts") — key patterns and concepts used

• modules — logical groupings of files

• business_logic — core domain logic and rules

• flow_implementation — detailed execution flow code traces

Get the full agent context JSON for a completed analysis. This is a structured format optimized for AI agents, containing file index, dependency graph, architecture layers, call chains, constraints, design decisions, and database schema. Save the output to agent_context.json for persistent codebase understanding.