From Prompt to Passing Test: A Complete Agentic QA Session

Sound familiar? In the first article, we set up a project scaffold designed for AI. But a good structure only gets you so far if the AI is just a code suggester. Useful, but not transformative. You still have to know what to ask, verify what it wrote, adapt it to your project, and repeat for every file. In the second article, we saw what makes an AI agent different from a chatbot. It reads your code, takes actions, and works inside your project. But here's the catch: an agent is only as good as the instructions it follows.