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.

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.

There more stuff in mine, but at the top of my ~/.claude/CLAUDE.md file, I have:

    ## Important Instructions
    
    - update todo.md as items are completed
    
    **Commit to git after making code changes.** Check `git status` first - only commit if there are actual changes:
    ```bash
    # If not in a git repository, initialize it first:
    git init
    
    # Then commit changes:
    git add <FILES_UPDATED>
    # Be surgical - add only the changes you just made.
    git commit -m "Description of changes"