alt Hacker News> Instead, the right train of thought is: "what would perfect code look like?" and then meticulously describe to the LLM what "perfect" is to shape every line that gets generated.
I think this goes against what a lot of developers want AI to be (not me, to be clear).
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I'm looking at it from a team perspective.
With the right docs, I can lift every developer of every skill level up to a minimum "floor" and influence every line of code that gets committed to move it closer to "perfect".
I'm not writing every prompt so there is still some variation, but this approach has given us very high quality PRs with very minimal overhead by getting the initial generation passes as close to "perfect" as reasonably possible.
It doesn't matter, one way or the other. The overall market share will decide. In some cases, I think good code will be a decisive factor. Think Steam launcher Vs Epic. Epic doesn't have good code. Their performance suffers in consequence. In other cases the users are so trapped it makes no difference. MS Outlook and Teams is the prime example of this.
Also a lot of middle managers. Many organizations enthusiastically adopting AI are doing so because they want to appeal to the authority of the bots and bludgeon colleagues with it.