AI Code Defect Prediction System

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
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AI Code Defect Prediction System
Medium
~2-4 weeks
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AI Defect Prediction System

Predicting which parts of code are likely to have bugs before testing. Machine learning models identify high-risk areas.

Case study: 50,000 lines. Predicted 120 high-risk areas. Found 89 real bugs in first month.

Timeframe: basic model: 2–3 weeks.