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Capy is an AI agent workspace for engineering teams that want to offload coding work directly toward real pull requests. It’s aimed at teams doing lots of PR-based development who need help with tasks like bug fixes, migrations, and scheduled audits, without switching tools across the whole workflow.
Capy stands out by focusing on execution quality in the places engineers already work. Instead of just generating code snippets, it runs an agent process that can produce PRs and then review them in the same environment, including end-to-end testing via native computer and browser use with annotated video. For teams that already operate in GitHub-style flows, it’s built to reduce the bottlenecks between ticket, implementation, review, and merge.
It also supports different task shapes. If you’re clearing queues (bug triage, fixes) or handling longer engineering efforts (like migrations and refactors), Capy can split work into multiple agent runs. For larger teams, it offers enterprise options such as SOC 2 Type II, audit logging and compliance, encrypted and isolated environments, and BYO key or on-prem hosting. Pricing is credit-based by team size, with plans that include Captain, Build, and Review agents across supported models.