Wow, that's such a drastic different experience than mine. May I ask what toolset are you using? Are you limited to using your home grown "AcmeCode" or have full access to Claude Code / Cursor with the latest and greatest models, 1M context size, full repo access?
I see it generating between 50% to 90% accuracy in both small and large tasks, as in the PRs it generates range between being 50% usable code that a human can tweak, to 90% solution (with the occasional 100% wow, it actually did it, no comments, let's merge)
I also found it to be a skillset, some engineers seem to find it easier to articulate what they want and some have it easier to think while writing code.
I used to think that the people who keep saying (in March 2026) that AI does not generate good code are just not smart and ask stupid prompts.
I think I've amended that thought. They are not necessarily lacking in intelligence. I hypothesize that LLMs pick up on optimism and pessimism among other sentiments in the incoming prompt: someone prompting with no hope that the result will be useful end up with useless garbage output and vice versa.
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Don’t know why you’re getting downvoted, this is a fascinating hypothesis and honestly super believable. It makes way more sense than the intuitive belief that there’s actually something under the human skin suit understanding any of this code.
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