This is Claude's problem.
Compared to GPT-5.5, Claude Code prefers to take shortcuts. I've tested having codexapp GPT-5.5 and Claude Code opus4.7 do the same thing - if following GPT-5.5's requirements, Claude Code's execution time for a task would stretch from 5 minutes to 40 minutes.
To solve macro architecture problems, I use Lisp to write the entire program's framework. Lisp replaces architecture documents, because I believe it has high semantic density, syntax restrictions, and checkers for assistance.
This way, at least I didn't have to rework anything anymore. I used this method to refactor my 20+ projects
jasonvorhe 6 hours ago||
When the title stands in opposition to the actual post, I'm not gonna engage with that author again.
rnxrx 10 hours ago||
I'm not sure we'll ever really be free of the GIGO (garbage in / garbage out) principle. Tools will get better and better, but can never be a substitute for a deep understanding of the thing we want to create.
keithnz 12 hours ago||
AI writes what you ask it to write, you need to talk to it about architecture. You should have an architecture doc so AI can shape the code based on that, you can get the AI to make the architecture doc also. If using claude you can use the software architecture mode for this.
A coder typing in code is not solely to generate outcome. It's part of ongoing thinking process. Without this ongoing process, we have no material to keep iterating forward.
m3kw9 1 hour ago||
Greed really comes into play when using LLM's to write code, is so easy to say YES when this cool feature where 2 years ago would have taken a week, now is 1 day or even one prompt. The "Say no" skill that Steve Jobs said was important is gonna be needed on an minute by minute basis.
mindaslab 3 hours ago||
I'm going back to writing algorithms on paper.
ipaddr 12 hours ago||
When he mentions I push commits at work for as long as my tokens last I can understand that. Managing tokens has become an important skill.
cortesoft 10 hours ago|
What has really made AI coding be able to continue to work as the project got bigger was using speckit. It has been great at keeping the code consistent across features.