Coroid runs AI engineering work in controlled, observable environments with scoped repository access, encrypted data handling, and audit-friendly records for every delivery decision.
Where agent work runs
Every task runs in its own bounded workspace, created for that task and torn down after it. Agents read and write only the repository checked out into it.
Workspace isolation
Agent work happens in isolated cloud workspaces, separated from customer networks and production systems.
Scoped access
Repository and service credentials are scoped to the project and stored through encrypted configuration paths.
Decision trail
Tasks, reviews, approvals, and lane pull requests keep a durable record of what changed and why.
Operational baseline
Monitoring, image scanning, backups, and recovery runbooks are part of the production operating model.
Authentication is centralized through the gateway and supports user tokens, service tokens, and API keys for integration scenarios.
Autonomous work runs away from your local machines and internal network, with runtime isolation as a first-order design concern.
Coroid is database-first, encrypted by default for sensitive configuration, and aligned with EU hosting requirements on the public cloud service.
The platform is operated with monitoring, scanning, and disaster-recovery practices expected by enterprise engineering teams.
Coroid is designed to explain autonomous changes in the language engineering leaders, reviewers, and security teams already use.
Enterprise review
Share your repository, data-residency, and deployment constraints. Coroid can map them to the right cloud, EU, or enterprise operating model.