AI Testing
Anatomy of 4 Stacked Bugs: Production Incident Debugging
How 4 stacked bugs in a tax-tech system masked each other across 2 days and 3 commits. Real timeline, root causes, debugging playbook for compounding failures.
AI Testing
AI Testing
Nightly QA System at 2 AM: What It Caught That CI Missed
A 15-group nightly QA system running 35 test files at 2 AM catches integration bugs CI never will. Real examples, architecture, and $0.50/night ROI breakdown.
AI Testing
Extraction QA Loop: Turn Failed Runs Into Training Data
An extraction QA loop turns failed runs into labeled training data, lifting accuracy from 87% to 95% in 6 weeks with zero manual labeling.
AI Testing
Azure Content Understanding vs Document Intelligence
After testing Azure CU and DI on 50 financial documents, CU hit 95% accuracy vs DI's 87%. DI misreads form titles as values. Full comparison with code.