AI coding you can still explain

Less vibe coding. More understanding.

Pair is your AI coding partner for working alongside agents without outsourcing judgment. The agent proposes, explains, and verifies inside your workflow. You keep the direction, the decisions, and the shape of the code.

Read the vision

Proposal-firstthe agent drafts, you apply

Scoped worksmall enough to understand

Real reviewread the diff where you work

pair src/auth.ts active scope: createResetToken

editor

function createResetToken(user) {
  const token = crypto.randomUUID()
  const expiresAt = addMinutes(now(), 15)

  return saveToken({
    userId: user.id,
    token,
    expiresAt
  })
}

agent

  1. 01 Scope is limited to this method.
  2. 02 Decision: keep expiry short.
  3. 03 Proposal touches 6 lines.
  4. 04 Apply only after review.
  5. 05 Verify auth tests before moving on.

AI made code cheap to produce. It did not make code cheap to understand.

Pair exists for the developer who wants leverage without turning into a reviewer of mystery diffs. The point is not to make the agent do your work somewhere else. The point is to work alongside AI while your mental model stays intact.

The agent proposes. You own the decision. Scope is visible, changes are reviewable, and verification is a stop point instead of a checkbox at the end.

Good software is not the biggest patch a model can generate. It is the change a person can explain, verify, and maintain.

Pair pair.computer

Vision

Agent speed, human understanding.

Pair turns AI coding into a small, legible loop: scope the work, surface the decision, inspect the proposal, apply deliberately, verify the result, and stop before context turns into noise.

It is not anti-agent. It is anti-opaque automation. The product is designed around one constraint: the developer should never lose the ability to explain what changed and why.

Workflow

A loop that keeps the human in the work.

  1. Scope

    Start with the method, file, or behavior that can be held in memory.

  2. Decide

    Make the tradeoff explicit before a patch appears.

  3. Propose

    Let the agent draft a bounded change, not a sprawling rewrite.

  4. Review

    Read the diff in the real editor before anything is applied.

  5. Verify

    Run the check that proves this specific change is understood.

  6. Stop

    Pause before continuing so the system model stays current.