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Right now I enjoy the labs' cli harnesses, Claude Code, and Codex (especially for review). I do a bunch of niche stuff with Pi and OpenCode. My productivity is up. Some nuances with working with others using the same AI tools- we all end up trying to boil the ocean at first- creating a ton of verbose docs and massive PRs, but I/they end up regressing on throwing up every sort of LLM output we get. Instead, we continously refine the outputs in a consumable+trusted way.

My workday is fairly simple. I spend all day planning and reviewing.

1. For most features, unless it's small things, I will enter plan mode.

2. We will iterate on planning. I built a tool for this, and it seems that this is a fairly desired workflow, given the popularity through organic growth. https://github.com/backnotprop/plannotator

  - This is a very simple tool that captures the plan through a hook (ExitPlanMode) and creates a UI for me to actually read the plan and annotate, with qol things like viewing plan diffs so I can see what the agent changed.
3. After plan's approved, we hit eventual review of implementation. I'll use AI reviewers, but I will also manually review using the same tool so that I can create annotations and iterate through a feedback loop with the agents.

4. Do a lot of this / multitasking with worktrees now.

Worktrees weren't something I truly understood the value of for a while, until a couple weeks ago, embarrassingly enough: https://backnotprop.com/blog/simplifying-git-worktrees/

I've been working on a thing for worktrees to work with docker-compose setups so you can run multiple localhost environments at once https://coasts.dev/. It's free and open source. In my experience it's made worktrees 10x better but would love to hear what other folks are doing about things like port conflicts and db isolation.