agile3
Agile + AI

AI Pair Programming

Working with an AI coding assistant as a pairing partner: what it's good at, where it misleads, and how to keep the human in charge.

2 min read · Beginner

In 30 seconds

  • The AI drafts, suggests and explains; the human decides.
  • Great for boilerplate, exploration and unfamiliar code.
  • Not a replacement for human pairing on hard problems.

Good uses

  • Drafting routine code and tests
  • Explaining unfamiliar code or libraries
  • Exploring alternative approaches quickly
  • Writing first-pass documentation

Where it misleads

  • Confident but wrong answers
  • Code that works but doesn't fit your design
  • Outdated or invented library details
  • Subtle security issues

Treat every suggestion as a draft that needs review.

AI vs human pairing

Human pair programming spreads knowledge across the team and catches design problems through discussion. An AI partner doesn't learn your team's context or share ownership. Many teams use AI for routine work and human pairing for complex or high-risk changes.

Myth vs reality

Myth · The AI is the driver.
Reality · The human stays the navigator and owner.
Myth · AI pairing replaces code review.
Reality · AI-written code needs review as much as any other.
Myth · Juniors benefit most.
Reality · Juniors can learn less if they accept suggestions without understanding them.

FAQ

Should we still pair with humans?

Yes, especially on design, onboarding and risky changes.

How do we keep code consistent?

Give the AI your conventions and review against them.

Is our code safe to share with AI tools?

Check your organization's policy; see AI governance.