Post

Optional Allusion
@flax.wtf

As an AI-skeptic, I did take the time to read all the way through your blog post. It started with dealbreaker after dealbreaker (price, depending on 3rd party to get anything done are the main ones). You're undoubtedly productive by your measures. <continued...>

Optional Allusion
@flax.wtf

Your role as described is primarily managerial: you set up ops, you outline features and give high-level guidance on how to achieve them, you mostly coordinate how and whether agent-generated artifacts are merged. But that's not the fun part. <continued...>

Optional Allusion
@flax.wtf

What's the most interesting feature/problem you've solved in your actual project (not the AI tools around it), and did using AI make this a better experience, how? For example, here's a semi-recent experience of mine: ghost.flax.wtf/adventures-i...

ghost.flax.wtfAdventures in Time and Space, with HotdawgsI've been on a bit of a side-quest recently to make my GADDAG implementation more efficient.  It started when my wife was testing Mark My Words on her phone and iOS killed the game because of memory pressure. I did a bit of profiling (honestly, I should have before now)
Hendrik Mans
@hmans.dev

The biggest question/criticism towards my post is that it doesn't really have the answer to how all this can scale to entire teams. I don't have the answer for that, but I also believe that it's not entirely the right question to ask.

Hendrik Mans
@hmans.dev

Maybe this time, the organizations will have to adapt to the process, and not the other way around. I'll have more to write about this soon (I hope.)