Vibe coding with overeager AI: Lessons learned from treating Google AI Studio like a teammate

Most discussions about vibe coding usually position generative AI as a backup singer rather than the frontman: Helpful as a performer to jump-start ideas, sketch early code structures and explore new directions more quickly. Caution is often urged regarding its suitability for production systems where determinism, testability and operational reliability are non-negotiable. 

However, my latest project taught me that achieving production-quality work with an AI assistant requires more than just going with the flow.

I set out with a clear and ambitious goal: To build an entire production‑ready business application by directing an AI inside a vibe coding environment — without writing a single line of code myself. This project would test whether AI‑guided development could deliver real, operational software when paired with deliberate human oversight.  The application itself explored a new category of MarTech that I call 'promotional marketing intelligence.' It would integrate econometric modeling, context‑aware AI ...