Over the past few weeks, I've been experimenting with ways to make software testing more efficient using AI. The objective wasn't to replace QA engineers or generate test cases with a prompt. It was to reduce the repetitive work that consumes a significant part of a tester's day. By combining AI with product knowledge and controlled access to testing capabilities, tasks like understanding the application, preparing test data, and creating validation scenarios become much faster and more context-aware. The biggest benefit isn't writing more automation. It's giving engineers more time to focus on exploratory testing, critical thinking, and improving software quality. This is something I've been building recently, and I'll be sharing the complete architecture, implementation, and lessons learned in an upcoming thread. I'd also love to hear from the community: What's the most repetitive task in your testing workflow that you'd like AI to handle? #QA #SDET #SoftwareTesting #AI #AutomationTesting #GenAI
