On the other hand, AI is good at following invariants and adversarially policing the system to pay back debt.
On the other hand, AI is good at following invariants and adversarially policing the system to pay back debt. The latter is too expensive for humans as a project grows. Right now you can open Claude Code in your project and prompt it "start a workflow that fans out subagents, each with a narrow scope, to look for {simplifications, correctness by construction opportunities, <insert your goal>} ranked by impact vs confidence, and then collate the findings into result.md". If you have the tokens, do more workflows that find more issues and/or vet and polish the findings already in the file. I do that every time my weekly usage is about the reset to spend me last tokens. Maintenance is becoming trivial, and anyone who thinks AI dooms you to an ever growing mudball apparently hasn't considered using AI for anything other than appending more code to the mudball.
Posted by hombre_fatal on Aug 21, 2026, 6:36 AM
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Raise real-world problems, find people facing the same issue, and discuss solutions.2,000 issues0 comments
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Yeah, the plan is far too expensive for what it provides.
NewCrashed demand after one of the big AI labs (probably Anthropic because they focus way too hard on expensive frontier models) become inso...
New/dev/random is much too expensive for this.
Yeah, this always bugged me.
A year ago, I had the opinion that it'd be too expensive for developers to support offline mode, peer to peer, or community servers after...
The weird thing about this product is that its biggest competitor is "an old ipad." I feel like most of their target customer base alread...
There's a talk from Travis Kalanick recently on a podcast about this.
>nobody ever bought German cars for their low prices, except the Beetle Huh?
On the other hand, AI is good at following invariants and adversarially policing the system to pay back debt.
On the other hand, AI is good at following invariants and adversarially policing the system to pay back debt. The latter is too expensive for humans as a project grows. Right now you can open Claude Code in your project and prompt it "start a workflow that fans out subagents, each with a narrow scope, to look for {simplifications, correctness by construction opportunities, <insert your goal>} ranked by impact vs confidence, and then collate the findings into result.md". If you have the tokens, do more workflows that find more issues and/or vet and polish the findings already in the file. I do that every time my weekly usage is about the reset to spend me last tokens. Maintenance is becoming trivial, and anyone who thinks AI dooms you to an ever growing mudball apparently hasn't considered using AI for anything other than appending more code to the mudball.
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