This article describes a method for LLM-assisted coding process but don’t provide anything of substance to back it up. It’s unclear whether the suggestions and techniques mentioned in the article came from personal experience or have otherwise been verified or experimented with with a real team and a real project.
> It’s unclear whether the suggestions and techniques mentioned in the article came from personal experience or have otherwise been verified or experimented with with a real team and a real project.
Since it's not a New Yorker article, I was hoping to spare the audience a long personal life story and deliver a somewhat succinct list of suggestions that others might find useful.
However, the question is valid, and yes, this is the result of personal experience of following and incorporating AI tools into my own development over the last couple of years, as well as watching my colleagues of various experience levels (in a team of 10 engineers) do the same. These are the practices that we collected, adopted, and trying to codify and develop further.
Ehm, I’m kind of in a weird position now. Responding with “I didn’t ask for personal story” sounds rude and I have no way if asking for more details without this. Like, if I was writing an article about optimisasation of an algorithm, I’d include information on the problem before and after, as well as some details how it was measured (the most interesting part). Otherwise it’s hard to discuss anything.
> Since it's not a New Yorker article, I was hoping to spare the audience a long personal life story
The New Yorker out here catching strays. Spare us, "maga," your excuses and weird insults! You didn't need to share your whole life story to include some useful context.
Did you, "maga"?
Apologies, no offence to New Yorkers (or the New Yorker) meant.
If you find my handle, "maga", interesting..., I'll have you know that it's been around long before it was appropriated by some movements in US and has nothing to do with them ;)
Just try it then.
I upvoted it because it aligns with my own findings working on real projects. Especially the bits about needing to “ground” the LLM in appropriate context, and being mindful of the sliding context window.
Can’t use AI at my day job unfortunately. I tried LLMs for code reviews and “opinions” in personal projects, it does pick up things I didn’t know about that I then explore myself, but these are small projects where I practice specific things rather than product development.
"Just try it then" is an irresponsible suggestion.
Of course, I can try it. But trying it does not prove anything. It must be tested. Testing is a much higher standard than "trying" and a lot harder to do.