USE CASE
Bug reports that come back as pull requests
Bug fixing starts with a reproducible failure: a failing test, a stack trace, or a set of steps. Hyperlane reproduces the bug in an isolated sandbox, narrows it to a cause, patches the code, and will not finish until the failing case passes and the wider suite stays green.
Describe the bug (or point at the failing CI). The agent reproduces it, isolates the cause, patches it, and proves the fix.
Reproduce before repair
Hyperlane’s loop starts by reproducing the failure inside its sandbox - running the failing test or the reported steps - so the fix targets the actual bug, not a plausible-looking one.
Verify gate before done
The agent cannot finish until the failing case passes and the wider suite stays green. The PR arrives with the evidence already attached - you review a proven fix.
Queue the backlog
Because each run is its own sandbox, a list of bug tickets can fan out in parallel - one agent per issue, each returning an independent PR.
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
What kinds of bugs work best?
Anything with a checkable failure - a failing test, a stack trace, a reproducible API call. The clearer the failure signal, the better the agent verifies its fix.
Last verified 11 Nov 2026.
Sources: Hyperlane documentation Hyperlane pricing
Keep exploring
Delegate the ticket. Review the PR.
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