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AI coding tool best practices

Get better code from AI without giving up engineering judgment.

Use these habits with Claude, Codex, Copilot, Kiro, Windsurf, or any other coding assistant. You will give the tool clearer work, catch mistakes sooner, and spend fewer tokens repeating the task.

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Model-agnostic Useful for daily coding Built for team review

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Use these six practices in your next AI-assisted change.

You do not need a complicated process to improve your next session. Start with the task, control the change, and verify the result before you accept it.

Before you prompt

Make the request testable

  • State the outcome. Tell the assistant what should be different for the user or system when the work is done.
  • Name the boundaries. List what must not change, which files or layers are in scope, and any constraints the tool must preserve.
While it works

Keep the change understandable

  • Ask for a plan first. Review the proposed approach before the assistant edits code, dependencies, configuration, or infrastructure.
  • Prefer a small diff. Break broad work into reviewable steps instead of asking for a large rewrite in one session.
Before you accept

Trust evidence, not confidence

  • Read the diff yourself. Check behavior, edge cases, dependencies, data handling, and unrelated changes.
  • Run the real checks. Execute tests, linting, builds, security checks, and a focused manual test before merging or releasing.

Use the checklist

Turn each practice into a visible team habit.

Put the outcome and boundaries in the issue, ask for the plan in the assistant session, and record verification evidence in the pull request. Your reviewer should be able to understand the change without trusting the model's confidence.

1

Frame the work

Write the outcome, non-goals, scope, and acceptance checks before generation starts.

2

Review the approach

Confirm the plan and affected areas before allowing the assistant to make edits.

3

Prove the result

Inspect the diff, run the checks, and record what a human reviewed and accepted.

Included in the Starter Kit

Go from six starter habits to a complete 42-point operating guide.

Use the complete guide when your team needs consistent expectations across tools, repositories, reviewers, and release workflows.

  • Task framing and prompt preparation
  • Context selection and repository safety
  • Planning, scope, and agent boundaries
  • Code review, testing, and verification
  • Security, privacy, and dependency checks
  • Token discipline, team governance, and learning