[aeonfox]

Debug yourself of the AI hype^. Besides config, SQL implementations have a very limited textual API surface of accepting queries. Putting whole layers of UI and agents around it is really inefficient way of finding edge cases. I wouldn't call that basic, nor the most comprehensive option. Fuzzing at the query layer is far more computationally efficient and effective.

A truly stochastic method is more likely to hit against edge cases, rather than an agent that tends to towards idiomatic solutions and that is trained against a corpus of existing software, and burns millions of tokens/watts spinning its wheels.

^ There's plenty of business value to be found in agentic AI without reaching for it for every solution. I'd even posit agentic AI is even better when paired with focused old-fashioned squishy-brained software engineering in the loop.

[apf6]

you don't have to compare whether stochastic fuzzing or agentic testing is the best. You can just do both of them. They both have enough ROI to be worth the trouble. That's why I said "in addition to".