Factory vs Devin: where your engineering data goes

Factory’s Droid and Cognition’s Devin are coding agents that can operate on private repositories, but evaluating them requires tracing all copies of engineering data created through local file access, model requests, sessions, telemetry, logs, and support processes rather than relying on deployment labels alone. Factory documents cloud-managed, hybrid, regional, and airgapped options, with its dedicated Airgap Mode removing Factory sign-in, cloud synchronization, telemetry, and managed model access while placing responsibility for internal models, infrastructure, artifacts, Git access, and network isolation on the customer; its private routing capabilities may also vary by build and preview status. Devin offers Enterprise Cloud, customer-dedicated deployments, and airgapped CLI configuration checks, while its enterprise commitments regarding tenant storage, retention, model processing, and support access should be confirmed for the selected configuration. The comparison emphasizes keeping no-training policies, model-provider retention, application-session retention, telemetry exports, and network isolation as separate controls, since each affects different data copies and destinations. Organizations are advised to obtain contractual details on deletion, backups, and access, restrict outbound connections, test representative but non-sensitive repositories and synthetic telemetry, verify both permitted and denied network paths, and select the deployment boundary they can demonstrably operate and audit.

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