Using voice transcription is nice for fully expressing what you want, so the model doesn't need to make guesses. I'm often voicing 500-word prompts. If you talk in a winding way that looks awkward when in text, that's fine. The model will almost certainly be able to tell what you mean. Using voice-to-text is my biggest suggestion for people who want to use AI for programming

(I'm not a particularly slow typer. I can go 70-90 WPM on a typing test. However, this speed drops quickly when I need to also think about what I'm saying. Typing that fast is also kinda tiring, whereas talking/thinking at 100-120 WPM feels comfortable. In general, I think just this lowered friction makes me much more willing to fully describe what I want)

You can also ask it, "do you have any questions?" I find that saying "if you have any questions, ask me, otherwise go ahead and build this" rarely produces questions for me. However, if I say "Make a plan and ask me any questions you may have" then it usually has a few questions

I've also found a lot of success when I tell Claude Code to emulate on some specific piece of code I've previously written, either within the same project or something I've pasted in

Using it in a specialized subfield of neuroscience, Gemini 3 w/ thinking is a huge leap forward in terms of knowledge and intelligence (with minimal hallucinations). I take it that the majority of people on here are software engineers. If you're evaluating it on writing boilerplate code, you probably have to squint to see differences between the (excellent) raw model performances. whereas in more niche edge cases there is more daylight between them.

You need to change the temperature to 0 and tune your prompts for automated workflows.

I think the name is not good. It sounds like "stool app". Among other things, "stool" means poo.

AI really is quite crazy. The timescale compression is absolutely bonkers compared to everything else in my life.

You cant buy an iPhone without a director approval. And it's like 3 gen behind as well. So no, they don't use iPhones.

The endgame of every single one of them is replacement of labor, it's the only way the level of investment makes sense. Whether each org profits from it directly or indirectly is immaterial.

That's because many of us older developers got into the profession when it didn't pay well, and had negative status associated with it, because we loved doing it.

So yes, there is very little tolerance from us toward those who are in it for money/status/prestige, and not for the love of it.