I get pretty good results by writing specs and prototype with a LLM, through more or less managed conversations.
I get pretty good results by writing specs and prototype with a LLM, through more or less managed conversations. But once the prototype is done, I spend too much time refining the details, fixing everything going wrong (bas design details, wrong implementation, half done testing ...) A full agentic setting would be too expensive for me (I wonder how much Garry tan spends...) So I'd like to take a more balanced approach with: 1. usual LLM specs and prototyping to get the bases of the feature and boilerplate done 2. Write myself the code, with the help of an ai auto complete (this is Where I look for recommendations) 3. Use a setup as OP mentioned to review code
Posted by mocamoca on May 26, 2026, 12:36 PM
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Raise real-world problems, find people facing the same issue, and discuss solutions.2,000 issues0 comments
pricing (Other)
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?
I get pretty good results by writing specs and prototype with a LLM, through more or less managed conversations.
I get pretty good results by writing specs and prototype with a LLM, through more or less managed conversations. But once the prototype is done, I spend too much time refining the details, fixing everything going wrong (bas design details, wrong implementation, half done testing ...) A full agentic setting would be too expensive for me (I wonder how much Garry tan spends...) So I'd like to take a more balanced approach with: 1. usual LLM specs and prototyping to get the bases of the feature and boilerplate done 2. Write myself the code, with the help of an ai auto complete (this is Where I look for recommendations) 3. Use a setup as OP mentioned to review code
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