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🤝Master AI Pair-Programming Workflows

Move past the 'accept all' or 'reject all' trap with a tool-agnostic protocol — frame, narrow, verify, refactor — that works whether you're driving Cursor today or whatever assistant ships next year. By the end, you'll have a one-page playbook for AI pair-programming on your own project.

Applied14 drops~2-week path · 5–8 min/daytechnologyai

Phase 1What AI Pair-Programming Actually Is

Replace 'AI does the typing' with a real division of labor

4 drops

  1. AI does the typing — and that's the wrong mental model

    6 min

    Pair-programming with AI is a division of judgment, not a division of typing.

  2. Autopilot and refusenik are the same mistake

    6 min

    Autopilot and refusenik both replace context-specific judgment with a blanket rule.

  3. Pick a pairing mode before you pick a tool

    6 min

    Pick the pairing mode for the task in front of you — not for your career.

  4. Context isn't free — and the AI can't read your mind

    7 min

    Context curation is the highest-leverage skill in AI pair-programming, and it's tool-agnostic.

Phase 2Driving One Feature With the Protocol

Run a feature end-to-end with the frame-narrow-verify-refactor loop

5 drops

  1. Frame the change before you let the AI touch a keystroke

    7 min

    A written frame is the contract; the AI's job is to satisfy it, not invent it.

  2. Narrow the ask until the AI can't hallucinate the design

    7 min

    Narrowing trades imagination for execution — and execution is what the AI is actually good at.

  3. Iterate by editing the prompt, not arguing with the output

    6 min

    When output is wrong, the prompt was wrong. Edit the prompt, not the conversation.

  4. Verify behavior — not just plausibility

    7 min

    Verify behavior with a test or a run; don't verify plausibility by reading.

  5. Refactor for the codebase, not for the AI's defaults

    6 min

    The AI's draft is in average-codebase dialect; refactoring translates it into yours.

Phase 3When to Lean In, When to Switch Off

Calibrate when to lean on the AI and when to switch off

4 drops

  1. When pattern-following work is the AI's home turf

    7 min

    When pattern-following work is the AI's home turf

  2. When novel design is the AI's blind spot

    7 min

    When novel design is the AI's blind spot

  3. Match the model class to the verification cost

    7 min

    Match the model class to the verification cost

  4. Some tasks deserve no AI at all

    7 min

    Some tasks deserve no AI at all

Phase 4Your One-Page Playbook

Distill your protocol into a one-page team playbook

1 drop

  1. Write the one-page AI pair-programming playbook for your project

    8 min

    Write the one-page AI pair-programming playbook for your project

Frequently asked questions

What's the difference between AI pair programming and using AI autocomplete?
This is covered in the “Master AI Pair-Programming Workflows” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
Does AI pair programming work the same in Cursor, Claude Code, Copilot, and Aider?
This is covered in the “Master AI Pair-Programming Workflows” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
When is AI pair programming actively a bad idea?
This is covered in the “Master AI Pair-Programming Workflows” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
How do I review AI-generated code without rubber-stamping it?
This is covered in the “Master AI Pair-Programming Workflows” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
Will I get worse as a programmer if I pair with AI every day?
This is covered in the “Master AI Pair-Programming Workflows” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.

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