How teams use Capy

From task to merged PR

See how teams use Capy to ship entire sprints in parallel. One agent per task, all working simultaneously — from ticket to production.

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Core Workflows

The core workflows teams run every day with Capy.

End-to-End Coding

Give Capy a task and it handles the full lifecycle — explores your codebase, writes implementation, runs tests, opens a PR, responds to review feedback, and merges. Autonomously.

Multiplayer Collaboration

Run 25+ concurrent agents on different tasks. Team members supervise and guide agents in real time. Agents coordinate across branches to avoid conflicts.

Code from Tickets

Point Capy at a GitHub issue or Linear ticket. It reads the context, explores your codebase, follows your patterns, and opens a clean PR — without you writing a line.

Automated PR Reviews

Agents review pull requests with deep codebase understanding. They catch bugs, suggest improvements, verify test coverage, and flag security issues — consistently.

And More

Beyond core workflows — more ways teams put Capy to work.

Bug Triage & Fixes

Paste an error log or bug report and Capy traces the issue, identifies root cause, and implements a fix with regression tests.

Documentation

Keep docs in sync with code automatically. Capy detects code changes that affect documentation and updates READMEs, API docs, and comments.

Refactoring & Migrations

Large-scale codebase changes across hundreds of files. Capy handles dependency upgrades, API migrations, and pattern refactors in parallel.

FAQ

Common questions about using Capy.

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.

Ditch your IDE and use Capy

Ship entire sprints in parallel. Start shipping with Capy today.