The agent-native software factory
Guides on building, governing, and scaling an agent-native software factory, plus write-ups of the podcasts and talks behind the ideas.
Guides on building, governing, and scaling an agent-native software factory, plus write-ups of the podcasts and talks behind the ideas.
Factory Private
Data Governance

AI code data residency includes model context, session records, integrations, and telemetry. Follow the complete data path before approving a coding agent.
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Airgapped Deployment

Air-gapped AI development needs internal inference, offline artifacts, and enforced network isolation. Validate the full workflow before approving a deployment.
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Federal Deployment

FedRAMP AI deployment requires current service scope, status, and customer responsibilities. Separate GovCloud hosting from authorization and workload approval.
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Federal Deployment

IL4 and IL5 AI deployment requires an offering-specific boundary and an authorized workload decision. Separate impact levels, private hosting, and airgapped operation.
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Enterprise AI

On-prem AI development needs more than a local agent. Place the control plane, model endpoint, build tools, and telemetry inside the approved boundary.
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Model Governance

Self-hosted models give enterprises an inference placement choice. Verify gateway routes, credentials, model policy, and task compatibility before using confidential code.
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Security Remediation

Private AI security remediation should connect a validated finding to a bounded fix, regression tests, and approval. Keep evidence and execution inside the approved boundary.
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Enterprise AI

Self-hosted AI agents require clear ownership of the control plane, session data, models, and updates. Compare the responsibilities before choosing a deployment.
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Compliance

SOC 2 for AI coding tools requires a review of report scope, operating period, data flows, and customer controls. Evaluate evidence instead of relying on a badge.
Read articleAI Coding Agents
Guides

GLM-5.2 is an open-weight model family available natively in Factory. This guide covers what GLM is, how to select it in the Droid CLI and app, its reasoning levels and credit multiplier, and when to reach for it on coding work.
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A reference architecture for a software factory: the components that move a unit of intent through specification, execution, review, and deployment, with software development agents handling execution and engineers defining intent.
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Guides

Kimi K2 is an open-weight model family from Moonshot AI, available natively in Factory. This guide covers what Kimi K2 is, how to select it in the Droid CLI and app, its reasoning levels and credit multiplier, and when to use it.
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