My rule of thumb: if the AI gives me something that’s 80% there, I immediately reframe it. Instead of trying to debug that mess, I ask the AI to explain what it thinks it wrote. Half the time it exposes flawed logic or misused libraries. From there, I either rewrite from scratch based on the idea or rebuild it step-by-step. Saves more time than trying to untangle spaghetti logic.
Honestly, I treat AI code like I would a junior intern’s PR: read line by line, log everything, and never assume it works just because it looks good. I throw in console.log() or breakpoints like candy and reduce the code to the bare minimum that still runs. Once I’ve got a working core, I build back up. It’s annoying, but better than guessing.
How do I fix “almost correct” AI-generated code without wasteful debugging?
My rule of thumb: if the AI gives me something that’s 80% there, I immediately reframe it. Instead of trying to debug that mess, I ask the AI to explain what it thinks it wrote. Half the time it exposes flawed logic or misused libraries. From there, I either rewrite from scratch based on the idea or rebuild it step-by-step. Saves more time than trying to untangle spaghetti logic.
Honestly, I treat AI code like I would a junior intern’s PR: read line by line, log everything, and never assume it works just because it looks good. I throw in console.log() or breakpoints like candy and reduce the code to the bare minimum that still runs. Once I’ve got a working core, I build back up. It’s annoying, but better than guessing.