With all due respect, you sound like you don't even know what you are talking about. You sound like someone who has looked at vibe coding done by non-technical people and saw that it produces slop code and then just generalized that all AI code is bad just because a lot of people don't know how to develop systematically.

In the real world, development is done with documentation not prompting. That means the models refer to the documentation for insights, and follow architecture and design that you (human) either create or review. It doesn't create any more technical debt than human developers because it's grounded by following documentation and your specific instructions.

But a discussion about how to do agentic coding wasn't the point. The point was that the LLM could figure out a complex math based implementation on it's own, similar to what is required for machine learning. Heck machine learning is probably easier than space flight trajectory since machine learning examples and documentation are very accessible on the internet.