Depends on what you do, and what systems you develop for I would reckon. If it's another TODO app or some kind of table + form system that's been done to death - AI can probably have a go at creating a barebones minimal viable product. Targeting code that's outside the sweet spot of the training data ("blurry" area), you'll start to stumble. I've also found agents to be useless in large code bases with distributed logic where parts are in react, web back-end, service system). Slow and unreliable for large systems. Good for small tasks and scaffolding up proof of concepts.