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BriefcaseUse cases

How teams ship with Capy

One agent per task, 25+ tasks in flight at once. You assign the work and review the PRs; the agents handle everything in between.

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The daily loop

Assign a ticket in the morning, approve the PR in the afternoon — three moves carry the whole cycle.

Hand off the ticket

Point Capy at a GitHub issue or Linear ticket, or just describe the outcome. The agent explores the repo, implements, runs tests, and opens a PR that follows your conventions.

Capy flying on a pelican, carrying work to done

Run the sprint in parallel

25+ agents work side by side while your team watches and steers in real time. Branch-aware coordination keeps parallel work from colliding.

A city block of buildings rising in parallel

Every PR reviewed

Bugs caught, test coverage verified, security issues flagged — the same thorough read on every PR. Review depth that doesn't depend on who's free that afternoon.

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The work that never makes the sprint

Bug queues, stale docs, and postponed migrations — agents work them in the background while the roadmap moves.

Detective capy on the case

Bug Triage & Fixes

Paste a stack trace or bug report. The agent traces it to root cause, ships the fix, and adds a regression test so it stays fixed.

Capy reading through a pile of documents

Documentation

Code changes are detected, and the READMEs, API docs, and comments that describe them get updated to match — no stale-docs sweep required.

Capy scaling a huge wall

Refactoring & Migrations

Dependency upgrades, API migrations, and pattern refactors that span hundreds of files — split across parallel agents instead of a quarter of an engineer's year.

Why teams switch

Most AI coding tools stop at a suggested diff. Capy owns the loop end to end — and that changes what you can hand off.

  • Task to merged PR, autonomously
  • 25+ agents per repo, coordinated across branches
  • Answers review feedback without pings
  • Rebases, CI failures, and merge conflicts handled
  • Reads issues, logs, and specs for context
  • Backfills tests, docs, and missing coverage
Capy peeking down from a rope

FAQ

How autonomy, parallelism, and review actually work day to day.

How autonomous are Capy agents?+
Fully autonomous end-to-end. Agents explore your codebase, write code, run tests, open PRs, and respond to review feedback — all without intervention. You supervise and guide when needed.
Can agents work on the same codebase simultaneously?+
Yes. Capy agents coordinate across branches to avoid conflicts. You can run 25+ agents on different tasks in the same repo at the same time.
What size tasks can Capy handle?+
From single-file bug fixes to multi-file refactors spanning hundreds of files. Agents work best when tasks are scoped to a clear outcome.
Do agents understand my codebase conventions?+
Yes. Agents explore your repo before writing code — they follow your patterns, naming conventions, and project structure.
What happens if an agent makes a mistake?+
Every change goes through a PR. You review and provide feedback like any other contributor. Agents iterate on review comments automatically.

Spin up an AI software engineer in minutes

Connect a repo, assign a task, and review the PR that comes back.

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Capys jumping through a portal