Analysis of 1,868 AI‑Generated Apps Reveals Production Readiness Gaps and Audits Scanning Tool

Researchers scanned 1,868 applications created by AI for production readiness. The audit assessed code quality, security, and deployment suitability. Findings highlighted common deficiencies across the sample set. The team also reviewed the accuracy of their scanning tool. Results showed the scanner identified most critical issues but missed some edge cases. Recommendations include tighter validation and automated testing pipelines. The study aims to improve reliability of AI‑generated software. Future work will expand the dataset and refine detection methods.