It's obvious that the generation of work artifacts is largely going to be done via AI but I am finding it very hard to give up that generative control to AI.
For example I am still manually reviewing every line of code AI produces because half the time I need it to be reworked/regenerated because of gaps (context, pattern clarity, usage details etc..).
So my question to you all is; what systems and processes are you using to optimize your AI generative output and quality?
delaminator•13h ago
I don't even have time to test the all programs I'm creating, let alone review the LOCs. I build stuff on a whim and it's in my "did it work" pile. I've also got a "looks ok, I'll deploy it sometime" list.
Embrace it. Enjoy it. Ship solutions to problems not lines of code.
alexjray•9h ago
MattGaiser•6h ago
At least this part I am still specifying. It doesn't get to choose its own technologies. It generally includes the architecture in the plan that I review.
delaminator•4h ago
I've been coding since the 8-bit days.
With the added benefit I can specify, "let's try using this stack this time." I haven't got to spend two months learning it to get to MVP.
delaminator•5h ago
Certainly mine isn't. But I've still generated hundreds of thousands of lines of code.
But no one will ever read them. And solid engineering defines the interfaces between them. So we specify the ins and outs and let the rest take its course.