From Bug Report to Production: How I Fix Bugs with AI

This story was originally published on HackerNoon at: https://hackernoon.com/from-bug-report-to-production-how-i-fix-bugs-with-ai. How a QA engineer at inDrive uses AI to investigate bugs, analyze production logs, write fixes, and ship changes to production. Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #qa-engineering, #quality-assurance, #software-testing, #ai-coding-agents, #production-monitoring, #api-testing, #good-company, #hackernoon-top-story, and more. This story was written by: @indrivetech. Learn more about this writer by checking @indrivetech's about page, and for more stories, please visit hackernoon.com. A QA engineer at inDrive shares three levels of AI-assisted QA: investigating bugs in code, prioritizing issues using production data, and shipping fixes through code review. Real cases include 1.86 million misleading server errors and a production fix that reduced duplicate-key errors by 30%. AI speeds up the work, but engineers remain responsible for verifying results.