Every AI coding agent will mess up. (Yes, even ours.) The difference between a bad experience and a productive one? How you recover—without losing flow. Here’s what we’ve learned from watching thousands of Agent sessions 👇 🤏 When the output is slightly off: ✅ Tweak it yourself ✅ Re-prompt with tighter scope ✅ Add context (examples, file refs) Most errors are recoverable with clarity. 🚫 When it’s way off: ✅ End the session ✅ Restart with a smaller task ✅ Explain the why, not just the what Don’t waste time salvaging a bad plan. Resetting is normal. ⏪ Use checkpoints. If the Agent’s edit breaks something, rewind and retry. ❓ Avoid ambiguity. The Agent might treat your question like a command. Instead, prefix with: “Just a question—why was X moved?” You’ll get clarity without triggering unintended edits. 🧠 Shift your mindset: - You’re not just fixing the Agent. - You’re learning how to work with it. Recovery is part of the workflow—not a failure.
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