E-commerce Team Reduces QA Time by 92% with AI Testing
The Full Story
This e-commerce company had a testing problem. Their mono repo architecture made traditional unit testing difficult, and their hybrid agile/waterfall process created gaps. QA was taking 4 hours per feature with minimal coverage, and bugs kept slipping through to production.
We implemented a phased approach: first AI-powered code review to catch obvious issues, then Playwright for automated browser testing of critical paths, and finally CI integration to run tests on every PR. The team now catches issues before merge, not after deployment.
The Challenge
Mono repo architecture making unit tests difficult. QA taking ~4 hours per feature with minimal coverage. Bugs consistently caught after deployment. No automated testing infrastructure.
Our Solution
Phased QA implementation starting with AI-powered code review, then automated browser testing with Playwright, and continuous integration to catch bugs before merge.
AI-Powered QA Pipeline
Automated code review and browser testing for pre-merge bug detection
The Result
92% QA Time Reduction
“We went from catching bugs in production to catching them in PRs. The 4-hour QA process is now 20 minutes.”