Pair Programming With AI: How to Work With an AI as Your Partner

Pair programming is two developers working on the same code together. One is the driver — hands on the keyboard. The other is the navigator — thinking ahead, reviewing, spotting problems. They swap often.

AI tools let you pair at any time. The useful question is: who's driving right now?

Mode 1: you drive, AI navigates

You write the code. The AI watches, explains and reviews.

Good for learning, for tricky logic where you want to understand every line, and for code you'll maintain closely.

Prompts:

Here's my function. Before I go further — what edge cases am I missing?

Explain what this error means and where to look, but don't fix it for me.

Review this diff like a senior engineer. Only flag real problems.

Tools: chat in your editor (Copilot Chat, Cursor), or an agent like Claude Code in plan mode — it can read everything but changes nothing. (Claude Code plan mode)

Mode 2: AI drives, you navigate

The AI writes the code. You set direction, review and correct.

Good for boilerplate, tests, migrations between libraries, UI from a design, and anything well-specified.

How to navigate well:

1. Agree the plan first. Ask for a plan; challenge it before code exists.
2. Small steps. One feature or fix at a time, not "build the app".
3. Watch and interrupt. If it heads the wrong way, stop it early. (In Claude Code, Esc stops it with context intact.)
4. Insist on evidence. "Run the tests and show me the output." (Claude Code best practices)
5. Read the diff before accepting. (How to read a diff)
6. Commit at each good point, so you can undo. (Using Git with Claude Code)

Switch modes deliberately

A good session often moves through both:

1. You navigate, AI researches: "Read the auth code and explain how sessions work."
2. You decide the approach together.
3. AI drives the implementation and tests.
4. You drive the subtle bit you want to own.
5. AI navigates — reviews your part for mistakes.

Talk like a pair, not a vending machine

Pairs think out loud. So should you:

I think the bug is in the date handling, because it only fails for users in Australia. What do you think?

Sharing your reasoning gives the AI context, and its pushback catches wrong assumptions. Ask it to disagree: "What's the strongest argument against this design?"

Don't let it make you worse

The risk with AI pairing is passive acceptance: code you never really read, decisions you didn't make, skills you don't build. Habits that prevent it:

• Be able to explain every change you merge. If you can't, ask until you can.
• Write the important parts yourself sometimes, especially when learning. (How to learn to code with AI)
• Debug first, then ask. Form a hypothesis before handing the problem over. (Debugging for beginners)
• Notice when you're looping. Correcting the same mistake three times means stop and rethink. (Stuck in an AI fix loop?)

Pairing with several AIs

Some people use one model to write and another to review, or a fresh session to review the first one's work — a reviewer without the author's assumptions catches more. (How to review a pull request written by an AI agent)

The summary

• Decide who drives: you (AI reviews and explains) or AI (you plan and review).
• Plan first, small steps, evidence, read diffs, commit often.
• Think out loud and invite disagreement.
• Stay able to explain everything you ship.

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EasySpawn gives you and Claude Code a shared, persistent workspace — the same files, terminal and running app — so you can hand the keyboard back and forth from any device. See how it works or join the waitlist.

Related: Claude Code Best Practices · How to Learn to Code With AI · What Is an AI Coding Agent? · How to Write Good Prompts for AI Coding Tools