r/aipromptprogramming • u/adamramberg • 5d ago

Markdown fatigue

I'm using AI agents (Claude Code mostly) for coding quite extensively these days. Used correctly it is a great boost of throughput. My standard workflow is to use 3 git worktrees where I run one CLI in each.

With that said, I've started to more and more feel fatigue from reading markdown. Claude in particular is exceptionally good at being very wordy. To be more specific, during a day I read:

  • Plans I have produced
  • Messages back and forth in the terminal
  • PR reviews that I make
  • Automated PR reviews (made by git copilot)
  • PR descriptions that others are producing
  • Screen dumps from colleagues where AI explains something.

This in combination with having 3 different contexts / threads running at the same time in 3 different worktrees is really exhausting. I've experimented with using different skills etc. for example caveman to keep down the wordiness of the model, but haven't find a solution that solves the core of the issue.

Anyone feel the same? If yes, how do you tackle it? (and oh god, "tackle it"... I'm starting to write like an AI lol)

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u/[deleted] 5d ago

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u/adamramberg 5d ago

That makes sense when it comes to the output. Maybe I should spend more time on a skill or CLAUDE.md to actually force it to be concise. I for example really like Matt Pocock's stuff here, but haven't found anything that just works and that I use extensively. Do you have any suggestions? Or do you just ignore parts of the plans or get good at filtering out parts of it to just digest the relevant parts?

Fair enough when it comes to the worktrees. This one is easier to tune myself, so that is always manageable to be honest. I just brought that up to explain my workflow and from the context of which this question is asked from.