AI agents are incredible right up until they confidently generate something completely wrong and move on like nothing happened. What I Ran Into Over the past year, I've spent a huge amount of time working with tools like Claude Code, Cursor, and Goose, and one pattern keeps showing up: the code looks correct until you actually run it. That was one of the first things I ran into after joining Cloudinary . I asked my agent to help me set up a simple Cloudinary integration in an application I was testing. The prompt itself was straightforward: generate a transformation URL, optimize an image, resize it to 800px wide, and apply automatic quality and format optimization. The output looked convincing enough that I almost trusted it. Which, honestly, was the problem. The transformation syntax wasn't following best practices, the SDK imports were outdated, and some delivery URL parameters would have behaved unpredictably in production. It didn't fail loudly. It failed quietly, which is worse.…