
Capy is a cloud-based AI coding platform that orchestrates parallel software engineering agents.
Capy organizes development around tasks assigned to parallel coding agents. Implementation, testing, and review run in isolated environments, while developers inspect diffs and pull requests through a shared interface. Desktop clients connect local machines to the same workflow.
GitHub, Slack, and Linear integrations let teams start work from their existing repositories and collaboration tools. The platform supports multiple model providers and customer credentials, with subscription tiers setting usage credits and cloud compute allowances rather than seat counts.
Source: capy.ai
Capy combines parallel execution, code review, and collaboration in one task-oriented workspace. Isolated environments separate agent work, while GitHub, Slack, and Linear integrations let engineering teams delegate tasks through tools they already use.
Model selection, customer API keys, and compatible external subscriptions let teams vary inference providers without adopting a single-model workflow. Enterprise features include centralized sign-on, audit logging, and reusable VM snapshots, supporting teams that need managed execution and administrative controls.
Source: capy.ai
Capy charges for subscriptions and usage while including unlimited members in each plan. Monthly Lite, Pro, and Max plans start at twenty, one hundred, and two hundred dollars respectively, with higher tiers increasing credit allowances and available cloud machine capacity.
Annual billing reduces the listed monthly equivalents, and customers can purchase additional usage balance. Compatible external coding subscriptions and customer API keys provide alternative inference access. Enterprise pricing is negotiated for custom quotas, identity controls, audit logging, and dedicated support.
Source: capy.ai