code-optimizer

To audit your codebase for performance bottlenecks, provide your project root path to initiate a parallel multi-agent scan. The workflow identifies anti-patterns across databases, memory, CPU, I/O, and concurrency using pattern-based detection.

Detecting performance anti-patterns across multiple languages is handled by a coordinated 13-specialist agent workflow. It applies reference-driven pattern scanning across diverse project types to identify bottlenecks without anchoring to existing implementations.

Pattern-based code optimization scanning works by loading detection patterns from reference files and using Grep and Glob to hunt for issues. This approach scans for bottlenecks before reading full source code, enabling fast and scalable analysis.

Yes, you can use this multi-agent optimization audit for any project type because it applies across diverse languages. It requires no external dependencies and only needs your project root path to start the parallel agent workflow.

From a code performance audit, you should expect concrete optimization recommendations with estimated impact levels. The coordinated agents report identified bottlenecks alongside actionable mitigations and suggested follow-up steps.

If your code is running slow, finding the specific bottleneck is achieved by scanning for performance anti-patterns in databases, memory, CPU, I/O, and concurrency. The 13-agent workflow pinpoints these issues using targeted grep patterns.