AI + QA Insights

Splitting a story into dev points and QA points treats testing as a second team's problem. It isn't. One feature, one team, one definition of done.

I built a full CLI tool in a week with AI — then realized I still hadn't shipped it. Knowing when to stop building is the skill AI made essential.

I attended AI Con 2026 expecting hype. Six days of sessions later, the takeaway was clear: AI making code easy makes validation harder.

A shell alias saved me from typing the same flag hundreds of times. Here's how Claude built it for me.

Discover how spec-based agentic development turns years of QA spec knowledge into the key skill for getting real results from AI coding agents.

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.