INITIALIZING EXPERIMENT WORKBENCH...
// EXPERIMENT OVERVIEW
What Was Built & Explored
Repository Intelligence is an autonomous codebase investigator originating from Code Afterlife. It parses GitHub repositories, extracts tech stacks, summarizes commit histories, and critically audits whether documentation claims match the actual underlying code (e.g. verifying if frontend and backend APIs are genuinely wired together, checking auth mechanisms, and inspecting database connections).
// CORE CAPABILITIES
Technical Systems
Claim Verification PipelineCross-examines README assertions against repository AST structures to verify whether APIs, databases, and microservices are actually implemented.
AI SynthesisOrchestrates Groq LLaMA 4 models to synthesize thousands of lines of raw commit logs into concise, technical architectural intelligence.
Frontend-Backend AuditingTraces network fetch routes, endpoints, and server actions to verify real-time data flow between UI layers and persistent storage.
Dependency & Momentum GraphsExtracts package configurations, framework versions, and PR velocity to score the repository's structural health.
Engineering Observations
The Motivation: Beyond Static Documentation
Most GitHub repositories make grand claims in their README files: 'Full-stack microservices architecture', 'Real-time AI backend', 'Production database integration'. But when you inspect the code, half the APIs are mocked and the database is disconnected.
Repository Intelligence was built to automate the technical investigation process: reading code ASTs, identifying genuine network connections, and providing verified evidence before developers or recruiters waste time reviewing dead prototypes.