if I already know, high level, how I'm going to solve something then the whole "needing to review the AI code" part of the workflow more than eats up any time savings
gspencley on Hacker News
20 - 30 minutes of productivity lost
In the thread “AI promised efficiency. Instead, it's making us work harder”, replying to this comment
Helped: Updating import statements and finding code examples for unknown problems.
Got in the way: Reviewing AI code for known solutions and context switching.
… I've also found that if you're unsure how to solve a problem within an existing codebase, or you're about to go down a rabbit hole of studying documentation to figure out how to wire something up, an LLM can get you up and running with code examples a bit quicker. But if I already know, high level, how I'm going to solve something then the whole "needing to review the AI code" part of the workflow more than eats up any time savings. And the parallelism thing is just a ton of context shifting to me. …