Code Surgery Bot

Code Surgery Bot is an autonomous multi-agent AI platform designed to perform intelligent code reviews for GitHub Pull Requests in under 60 seconds. The system uses multiple specialized AI agents working collaboratively to detect bugs, security vulnerabilities, code quality issues, and documentation gaps automatically. The workflow begins when a user submits a GitHub Pull Request URL. The PR Analyzer Agent fetches all changed files, diffs, metadata, and code structure using the GitHub API. A Coordinator Agent then analyzes the PR context and dispatches specialized agents in parallel. The Logic Checker Agent identifies programming errors such as null pointer risks, missing exception handling, off-by-one bugs, race conditions, and edge-case failures. The Security Agent scans for vulnerabilities including SQL injection, hardcoded credentials, XSS risks, insecure dependencies, and authentication flaws. The Style & Quality Agent evaluates maintainability issues such as duplicated code, inconsistent naming, long functions, magic numbers, and poor modularity. The Documentation Agent verifies comments, docstrings, and code explanations. After all agents complete their analysis, the Report Generator Agent consolidates findings into a professional GitHub-style review report containing severity classification, issue summaries, corrected code suggestions, and an overall quality score. The system can automatically recommend whether a Pull Request should be approved, rejected, or sent back for revisions.