Eight mistakes people make coding with AI

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Written by AI

TLDR
Eight recurring AI coding mistakes include over-orchestration, preserving stale context, tool sprawl, code-quality anxiety, and unnecessary branch or worktree habits.
Best for
Developers reviewing how they work with coding agents
The tip
Check these eight habits against your workflow before adding another tool or orchestration layer.
Start here
  1. Update how you talk to newer models
  2. Stop treating context and old conversations as sacred
  3. Question extra orchestration, tools, branches, and worktrees

postThe source

Mo@atmoio

I’ve spoken to over 50 people 1:1 over the last several months to better understand how they code with AI.

It’s an absolute mess.

Here are the top 8 mistakes I see.

0:00 - Intro 1:19 - Mistake 1: Talking to 2026 models like they’re 2025 models 2:43 - Mistake 2: Devising funky metaphorical factories to orchestrate your agents 3:59 - Mistake 3: Treating context as sacred 6:02 - Mistake 4: Treating previous conversations as sacred 7:59 - Mistake 5: Having a todo list 10:00 - Mistake 6: Using funky tools 13:47 - Mistake 7: Stressing over code quality 24:27 - Mistake 8: Using branches and worktrees

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