My workflow, at a high level, is:
1. I write a high level spec. Not as high level as a single-sentence prompt, but high level enough to capture my top requirements.
2. I prompt the AI to interview me about the spec to clear up any ambiguity or open questions, then when I’m satisfied, the AI writes a longer spec, which I then review.
3. Then I prompt the AI to write an implementation plan based on the spec. I might just skim this, and by this point I might be asking the LLM more questions than it’s asking me.
4. Now I hand it off to the implementer agent.
This isn’t cowboy coding, it’s not even agile. It’s waterfall. The problem with doing waterfall was that it’s too slow, especially with the deserialization/serialization cost of routing all of this documentation through meatbrains. The LLM is doing just as much work, true, but faster.
The thing I found surprising was that, while LLM’s are still pretty awful at writing as an art form, they are better technical writers than I have the time to be, especially when writing for an audience of other LLM’s.
So you're saying software engineers don't write code? Just because there are other things that SWEs do, does not mean it has nothing to do with it.
It's arguably a pretty important part. Would you really hire a software engineer who can't code?
You wouldn't call someone an author that takes LLM outputs and shoves it in a book. IDK why this distinction doesn't apply to devs too.
Why do tech workers act shock that people hate this junk being force fed to them that they are now resorting to violence to reject said junk?
You think telling humans with specialized crafts that they don't matter is good politics? Good grief.