Full Stack Codebase Intelligence
CodeForge AI integrates direct repository extraction pipelines,pgvector embedding storage, and LLM evaluations to deliver a comprehensive suite of codebase analytics. Explore how each module helps keep your software robust, secure, and clean.
1. Asynchronous Repository Analysis
Connect your GitHub public profile or clone direct URLs. CodeForge runs asynchronous parsing tasks in the background, walking the files tree, extracting imports, resolving symbol signatures, generating vector representations, and saving reports securely inside PostgreSQL.
2. Architecture & File Dependency Map
Understand how files import each other without digging through directories. Our dashboard renders interactive dependency graphs powered by React Flow, positioning file nodes dynamically based on import directives and exposing complex code hierarchies visually.
3. Context-Aware Codebase Chat (RAG)
Ask natural language queries like "Where are authentication headers configured?" and receive highly precise, context-aware answers. CodeForge fetches the most relevant code chunks from pgvector database storage and utilizes them to ground the AI response with concrete file citations.
4. Security Audits & Technical Debt
Keep secrets and technical debt out of production. Our static analysis pipeline runs audits to flag exposed API tokens, database passwords, circular file imports, dead code structures, duplicate methods, and high complexity scores, organizing findings into low, medium, and high severity cards.
5. Automated PR Review Agent
Run automated visual pull request audits. Paste git diff logs in the review panel and our LLM agent audits safety, flags code style divergence, detects memory leaks or logic bugs, and writes concrete code patch suggestions.
6. Weighted Codebase Health Scores
Monitor your repository quality using a weighted letter grade (A through F). The score compiles structural evaluations across 5 categories: Architecture, Security, Maintainability, Testing, and Performance, offering clear recommendations to improve ratings.