Incorrect data is a hard one to catch, even with automated tests (even in your tests, you're probably only checking the first link, if you're event doing that).

Incorrect data is a hard one to catch, even with automated tests (even in your tests, you're probably only checking the first link, if you're event doing that). Luckily I've grown a preference for statically typed, compiled, functional languages over the years, which eliminates an entire class of bugs AND hallucinations by catching them at compile time. Using a language that doesn't support null helps too. The quality of the code produced by agents (claude clode and codex) is insanely better than when I need to fix some legacy code written in a dynamic language. You'll sometimes catch the agent hallucinating and continuously banging it's head against the wall trying to get it's bad code to compile. It seems to get more desperate and may eventually figure out a way to insert some garbage to get it to compile or just delete a bunch of code and paper over it... but it's generally very obvious when it does this as long as you're reviewing. Combine this with git branches and a policy of frequent commits for greatest effect. You can probably get most of the way there with linters and automated tests with less strict dynamic languages, but... I don't see the point for new projects. I've even found Codex likes to occasionally make subtle improvements to code located in the same files but completely unrelated to the current task. It's like some form of AI OCD. Reviewing diffs is kind of essential, so using a foundation that reduces the size of those diffs and increases readability is IMO super important.