[t1mmen]

I suppose I have adapted quite a bit, but it’s just a different path to the same style of code/modularity I’ve found most effective/productive.

I was primarily FE for a while, and used to agonize over the smallest details when building eg React components. After a few years, I concluded that the innards don’t really matter most of the time, at least not early on, so I limited my obsessions to the “public interface” (naming, types and prop design) and libraries of well abstracted, composable, low-level building blocks. If and when things needed to be rewritten or optimized, replace the internals.

ChatGPT just gets me there faster, and more often than not, gives me acceptable production-level innards while I get to stay focused on perfecting the exterior and cohesiveness of the overall solution.

I’ve found this approach usually pays dividend when reworking parts of the system, too — GPT picks up on the flow of everything much better when the code is “self documenting”. Same appears true if humans need to get directly involved.

Still blows my mind on a daily that we’re here already. I’m glad I’m not early in my career, I’d be very worried if I had another 40 years to go.