Yes, Astra is very capable, but...

I've been having trouble with one of my projects and asked it to generate a tree so I can visualize the architecture. The result is hideous: the features are just designed without much thought to the overall architecture; there's overengineering everywhere; and most importantly: lots of duplicated code, and many small functions given a full module. Astra can backtrack, and even undo, a bad/incorrect assumption in the project. But it STILL tends to be averse to delete unwanted code, and it tries to keep bad/incorrect code "for compatibility." And it puzzles me why OpenAI doesn't train Astra to actually be good at engineering and making longer-term decisions. If you want to truly train a model to vibe code, it must commit to long-term architectural choices that will make the project last, and avoid it to collapse. And yes, a software engineer CAN prompt most models trained in the last 1-2 years to do cohese architectural choices. But as it stands, it's an uphill battle: they tend to resist giving a thought and respect those architectural decisions whenever they can (with newer models being better at that, naturally).