[Yhippa]

I remember talking about this with a friend a long time ago. Basically, you'd write up tests and there was a magic engine that would generate code that would self-assemble and pass tests. There was no guarantee that the code would look good or be efficient--just that it passed the tests.

We had no clue that this could actually happen one day in the form of gen AI. I want to agree with you just to prove that I was right!

This is going to bring up a huge issue though: nailing requirements. Because of the nature of this, you're going to have to spec out everything in great detail to avoid edge cases. At that point, will the juice be worth the squeeze? Maybe. It feels like good businesses are thorough with those kinds of requirements.

[jcgrillo]

How would you handle production incidents in such a codebase? The primary focus of a software engineer is to make the codebase easy (or at least possible) to understand. To tame complexity while achieving some business objectives. If we're going to just throw that part out the window you need to have a plan for how to operate the resultant mess in production.