AI-Java-Perf-Check is an open-source toolkit designed to detect and highlight performance pitfalls commonly introduced by AI-generated Java code. In the AI-driven development era, developers increasingly rely on AI coding assistants — which may generate suboptimal or anti-pattern code impacting enterprise application performance.
- Identify potential performance issues early in the development lifecycle.
- Prevent AI-generated code inefficiencies from reaching production.
- Assist developers and architects in writing optimal Java code for cloud-native environments.
- Static analysis to detect common performance anti-patterns.
- Scoring system to highlight severity and priority.
- Recommendations for fixing identified issues.
- CI/CD integration support for enterprise environments.
🚧 The project is currently in active development. Stay tuned for the first release.
Contributions are welcome! Please open issues or pull requests to suggest features or improvements.
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AI-Java-Perf-Check is developed and maintained by [Sibasis Padhi] as part of a mission to promote AI-era software performance assurance and digital transformation.