AI + QA Insights

Early impressions of Claude Code's /btw side questions and /voice input — from someone who already pays for Superwhisper.

My army of AI agents was supposed to test an app, generate automation, and run it live. Nothing worked. That turned out to be the best thing that could have happened.

After 15 years in QA leadership, AI tools let me start building the solutions I'd always imagined. This is the story of how a tester became a builder.

Learn a practical 5-layer testing strategy for AI-generated code, built from real QA experience and backed by research from Anthropic and OpenAI.

AI is generating code faster than teams can test it. If QA still starts after development, you're not catching bugs — you're documenting them. Shift left went from best practice to survival strategy.

Vibe coding feels like a superpower. You describe what you want, the AI builds it, and suddenly you have a working feature. The problem is you don't stop. You keep going until your simple idea becomes an over-engineered mess nobody asked for.

My team was spending too much time writing test cases manually. A ChatGPT experiment turned into Sarah — a Custom GPT for test management, refined through 13 versions.

Step-by-step guide to creating a custom test case generator using OpenAI API, Python, and your domain knowledge. No ML expertise required.

Copy-paste prompts for test case generation, bug report writing, API testing scenarios, and more. Plus tips on how to customize them for your specific needs.