USE CASE

Refactors that are big in scope, small in risk

Large-scale refactoring is a behaviour-preserving change applied across many files, where consistency matters more than any single edit. Hyperlane applies the transformation uniformly, then runs the build and test suite in its sandbox so the pull request proves behaviour did not change.

The refactor everyone postpones - sweeping but mechanical. An agent applies it across the tree and proves behavior didn’t change.

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Breadth without the drift

Renames, pattern migrations, module reorganizations - the agent applies the same transformation consistently across every file, where human attention drifts.

Proof, not confidence

Every refactor run ends against the build and test suite. The PR that lands is one where green means the same green as before - verifiable, reviewable.

Incremental by design

Large refactors split into per-package PRs so review load stays human-sized while the sweep still finishes.

What Hyperlane ships

  • Autonomous agent loop that plans, edits, runs, and verifies work end-to-end
  • Every run executes inside an isolated, resource-capped sandbox
  • Live execution traces - diffs, terminal output, and reasoning as it happens
  • GitHub-native workflow: pushes branches and opens pull requests itself
  • Web app, REST API, TypeScript SDK, CLI, and MCP server interfaces
  • Dollar-for-dollar credits - pay $20, get $20 of agent work

Frequently asked

How do you keep a giant refactor reviewable?

Split it: the agent fans the sweep out into per-package PRs, each independently verified. Reviewers see small diffs, not one monster.

Last verified 11 Nov 2026.

Sources: Hyperlane documentation Hyperlane pricing

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