audit-bug

To scan a codebase for async errors and null safety violations, perform a detailed bug audit that identifies concurrency flaws and null safety issues. The audit utilizes specialized agents to systematically map these findings to severity levels for prioritized remediation.

Bug detection works with Python and TypeScript/React projects by highlighting common anti-patterns in these frameworks. The audit scans for exception handling, async programming errors, and incomplete UI states specific to these languages.

Find resource leaks and logic flaws before deployment by running a comprehensive bug audit on your codebase. This process checks a critical checklist covering resource management and logic, ensuring more robust and reliable software.

The best way to prioritize fixing detected code bugs is through severity mapping. The bug audit classifies findings from CRITICAL to LOW, allowing you to focus on runtime errors and memory leaks that could impact users first.

A code review can catch incomplete UI states and exception handling issues by using a brutal-critic agent for critical analysis. This specialized approach systematically scans for these specific problems within your codebase.

Automated bug audits for complex codebases are limited to identifying known anti-patterns in supported languages like Python and TypeScript. They may not detect novel architectural flaws or business logic errors outside their scanning checklist.