Yeah, as someone who has been using Claude Code for about 4 months now, I’ve adopted a “be super specific by default”-workflow. It works very well.
I typically use zen-mcp-server’s planning mode to scope out these tasks, refine and iterate on a plan, clear context, and then trigger the implementation.
There’s no way I would have considered “implement fuzzy search” a small feature request. I’m also paranoid about introducing technical debt / crappy code, as in my experience is the #1 reason that LLMs typically work well for new projects but start to degrade after a while: there’s just a lot of spaghetti and debt built up over time.
Valid as well. I guess I'm just nitpicking based on how much I see people saying these models aren't useful combined with seeing this example, triggered my "you're doing it wrong" mode :D
> GPT-5-Codex allows me to write a pretty quick & dirty prompt, yet still get VERY good results.
I have a reputation with family and co-workers of being quite verbose - this might be why I prefer Claude (though haven't tried Codex in the last month or so). I'm typically setting up context and spending a few minutes writing an initial prompt and iterating/adjusting on the approach in planning mode so that I _can_ just walk away (or tab out) and let it do it's thing knowing that I've already reviewed it's approach and have a reasonable amount of confidence that it's taking an approach that seems logical.
I should start playing with codex again on some new projects I have in mind where I have an initial planning document with my notes on what I want it to do but nothing super specific - just to see what it can "one shot".