Testing applications developed with AI coding tools is a unique experience—equal parts fascinating and frustrating. While these tools speed up code generation, the code they produce often lacks scalability, context integration, and overall quality. This makes the role of testers and quality engineers more critical than ever. In my post, “Testing AI-coded applications: practical tips for software testers”, I share real-world experiences from testing projects that relied on AI-generated c...
