CodeGuardian-AI logo

CodeGuardian-AI

Free

AI-powered multi-agent code review platform for detecting bugs, security vulnerabilities, performance issues, and code-quality problems.

Visit Website
Related by shared tags and keywordsCareerPilot-AIGrounded-Groq-Chat-RAGNamaste-AI
generative-aiartificial-intelligencecode-reviewdeveloper-toolsfastapiaiai assistantautomation

Overview

CodeGuardian AI is a full-stack AI-powered code review platform that analyzes Python source code using a combination of static analysis, specialized AI agents, and Generative AI. The system automatically reviews code for bugs, security vulnerabilities, performance issues, and code-quality problems, then combines the findings into a unified AI-generated review. It uses Python's Abstract Syntax Tree (AST) for deterministic source-code analysis and Google Gemini for intelligent reasoning and recommendations. The platform includes a React-based dashboard where users can enter Python code, submit it for analysis, monitor the review process, view specialized agent reports, and read the final AI-generated review. The backend is built with FastAPI and exposes a /review API endpoint that orchestrates the analysis pipeline.

Pricing

Free

Detailed plans have not been confirmed in our catalog. Check the official website for current limits and billing terms.

Visit Website

Prices and limits may change. Confirm the currency, billing period, seat minimum and usage caps on the official website.

Use Cases

  • Developers use CodeGuardian AI to automatically review Python code for bugs, security vulnerabilities, performance issues, and code-quality problems.
  • Teams use the platform to get specialized AI agent reports on bug detection, security, performance, and code quality.
  • Users use the React dashboard to enter Python code, submit it for analysis, and view the final AI-generated review.
  • Developers use the /review API endpoint to submit Python code and receive a consolidated review report.
  • Engineers use static analysis to detect issues like missing function documentation, print() usage, dangerous eval() usage, and nested loops.
  • Teams use the AI synthesizer to combine individual agent findings into a unified report with summary, severity, and recommendations.

Features

Runs AI-powered multi-agent code reviews

Detects bugs in code

Finds security vulnerabilities

Flags potential performance issues

Identifies code quality problems

Reviews

No reviews yet. Be the first to share your experience!

Rankings & collections