A Leader's Guide to Taming the AI Coding Assistant
It has read every public repo, textbook, and piece of documentation ever written. It's tireless and incredibly knowledgeable.
It has zero context about your business, legacy code, or security policies. It's profoundly naive and lacks judgment.
When AI evolves from assistant to agent, the threat model changes from "bad code" to "unauthorized action."
No AI merges to main or deploys to production without explicit, auditable human sign-off.
The agent gets the absolute minimum permissions needed to do its job, for the minimum time.
All agentic work happens in an isolated environment with no path to production secrets.
Before asking for code, ask the AI to explain the underlying concept. Use it as a tutor, not a factory.
Code reviews should start with the prompt itself. Was the right question asked? This teaches a critical skill.
Reward developers for significantly improving an AI suggestion, not just accepting it blindly.
Don't expect AI to fix a broken culture or existing tech debt. It will only accelerate the current trajectory.
Don't roll out AI without budgeting for security tools, training, and senior review time.
Don't reward code volume. Reward quality, stability, and maintainability.