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. Try Capy free today.