I guess this is as good a thread as any to ask what the current meta is for agentic programming (in my case, as applied to data engineering). There are all these posts that make it to the front page talking about productivity gains but very few of them actually detail the setup that's working for the author, just which model is best.
I guess it's like asking for people's vim configs, but hey, there are at least a few popular posts mainly around git/vim/terminal configs.
In my opinion no frontier model is the best at everything, especially if you're having to catch it up with pre-existing information about your project or an esoteric scripting language, that being said, with Cursor you can try out all of the popular available models and get a feel for which do better with which tasks, in my experience - Codex is a okay model but use light thinking if you value your time, Gemini 3 flash is where its been at for me recently if I need to do big changes I go to that, And cursors model composer is good for making plans or doing refactors / making rules. Cursor gives you tools to make prompting feel like less of a repetition game, so you worry more about the task at hand and its been super efficient for me. I don't use proper version control so the fact it saves a history of every files dif's, and you can jump back easily in chats and regress the code base is the game changer.
There more stuff in mine, but at the top of my ~/.claude/CLAUDE.md file, I have:
This lets me have bite-sized git commits that I can marshall later, rather than having to wrangl git myself.I push most work into chat interface (attach full codebase as a single file, paste in specs, describe what I want), then copy the tasklist from chat into codex. This is to reduce codex token usage to avoid breaching weekly limits. I'd use a more agent-heavy process if I didn't care about cost.