Developers using AI code assistants often paste a failing stack trace and watch the AI immediately start modifying files. This impulsive coding leads to messy changes, new bugs, and hours of manual undoing, as the tool doesn't grasp the full architecture yet.

To counter this, force the AI into a read-only state first. Use built-in Plan Mode or a meta-prompt like "read this and wait for instructions." Ask the AI to analyze specific files and explain the logic before proposing a step-by-step implementation plan for your approval.

This strategy simulates a senior developer's workflow, treating the AI as a consultant before a builder. It improves accuracy, gives you full control to catch logic errors, and reduces token costs by avoiding trial-and-error loops. Tools like GitHub Copilot, Cursor, and Aider offer dedicated modes for this.