Earlier quoted context omitted.
I'm not trying to be offensive here, feel the need to indicate that. But that prompt leads me to believe that you're going to get rather 'random' results due to leaving SO much room for interpretation. Also, in my experience, punctuation is important - particularly for pacing and grouping of logical 'parts' of a task and your prompt reads like a run on sentence. Making a lot of assumptions here - but I bet if I were…
I think that is an interesting observation and I generally agree. Your point about prompting quality is very valid and for larger features I always use PRDs that are 5-20x the prompt. The thing is my "experiment" is one that represents a fairly common use case: this feature is actually pretty small and embeds into an pre-existing UI structure - in a larger codebase. GPT-5-Codex allows me to write a pretty quick & dir…
I noticed in conversations with LLMs, much of what they come up with is non-deterministic. You regenerate the message and it disappears.
That appears to be the basic operating principe of the current paradigm. And agentic programming repeats this dice roll, dozens or hundreds of times.
I don't know enough about statistics to say if that makes it better (converging on the averages?) or worse (context pollution, hallucinating, focusing on noise?), but it seems worth considering.