I'm kind of good at regex, but an absolute wow moment with AI was watching it compose a complex regex in milliseconds for an rg dependency scan.
Not feeling replaced; just feeling like I can code at warp speed.
One of the prompting techniques I will use is: โHow would you ... ?โ
This allows AI to use โa thinking unitโ to plan instead of just doing. Thanks to CoT, you'll see much better results later in the conversation.
People always say write detailed prompt (including myself as a teacher); however I am a lazy engineer, I always write short prompts. I've been enjoying the art to let AI write context by itself. ๐ What do you think?
Since my side project is more related to data science, I still stick with Codex CLI (GPT-5.1). Hope I can find some people who have the same feeling here.
So, I am wondering that people like Gemini 3 so much, so are devs switching to Gemini CLI? Or, it's more like another new tech lover hyper rather than a true productive model for devs?
I just learnt that `zY` can copy a cell into sys clipboard. What the heck. AWESOME.
You can also search (/), filter (| then "), sort ([ or ]) your CSV in a decent command line viewer. A wonderful tool when you work with CLI AI.
The decision matrix keeps coming to mind. I feel like it was an early attempt by people in management to apply vector-like thinkingโand it has ended up being one of the most effective methods.
why do language models think 9.11 > 9.9?
at @transluceAI we stumbled upon a surprisingly simple explanation - and a bugfix that doesn't use any re-training or prompting.
turns out, it's about months, dates, September 11th, and... the Bible?