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.
Within Factory Private
Factory Private
Agent Governance
AI agent controls for private development networks
AI agent controls for private networks need enforceable permissions, sandboxing, managed model policy, and review gates. Build a testable policy for Droid.
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Enterprise AI
EU AI deployment beyond the regional endpoint
EU AI deployment requires separate decisions about session content, inference, identity, and control-plane ownership. Compare regional Factory hosting with Factory Private.
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Enterprise AI
Factory Managed vs Private: choosing the boundary
Compare Factory Managed vs Private across control-plane ownership, model access, telemetry, and operations. Choose a deployment around your actual requirements.
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Enterprise AI
Factory Private architecture inside your boundary
Factory Private architecture puts the control plane in your infrastructure. Plan the model, network, telemetry, and operating boundaries before a pilot.
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Modernization
Legacy modernization with private AI agents
Plan legacy modernization with private AI around behavior preservation, internal dependencies, and reviewable milestones. Keep code and validation inside the approved boundary.
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Enterprise AI
Private AI for model research and post-training
Private AI keeps model research close to protected code, weights, and evaluation data. NVIDIA’s published Factory deployment shows why task trajectories matter.
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Enterprise AI
Private AI package work needs durable context
Private AI package maintenance depends on repeatable builds and durable context. Chainguard’s published experience shows why long-running sessions deserve evaluation.
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Factory Private
Enterprise AI needs approved engineering context
Enterprise AI depends on engineering context that security teams can approve. Nav’s published results connect reduced context switching with controlled access.
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Data Governance
AI agent telemetry inside private networks
AI agent telemetry should answer an operational question without collecting unnecessary code. Choose metrics, identity detail, and content export deliberately.
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Data Governance
AI code data residency beyond the repository
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 that works offline
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 without approval shortcuts
FedRAMP AI deployment requires current service scope, status, and customer responsibilities. Separate GovCloud hosting from authorization and workload approval.
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