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.
Factory Private
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.
Read articleFactory Private
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.
Read articleComparison
Factory Droid vs Cursor
Compare Factory Droid and Cursor through enterprise deployment, privacy, administrative controls, editor integration, and a practical pilot.
Read articleComparisons
Software Factory
Factory vs Warp: compare the whole delivery loop
Compare Factory vs Warp across cloud orchestration, harness choice, context, and deployment. Follow current official sources and inspect a real delivery workflow.
Read articleAI Coding Agents
Enterprise AI
Fast inference changes the coding-agent workflow
Fast inference can shorten coding-agent feedback loops. Groq’s published Factory experience shows where model choice and end-to-end validation matter.
Read articleAI Coding Agents
Testing
Finding the cause of flaky tests with coding agents
Flaky test triage needs repeatable evidence, controlled reruns, and a narrow fix. Learn how coding agents can investigate intermittent CI failures without hiding them.
Read articleAI Coding Agents
Infrastructure
Safer infrastructure as code changes with agents
Infrastructure as code changes need plan evidence, policy checks, and controlled application. Learn how coding agents can prepare reviewable cloud changes.
Read articleEnterprise AI
Security
Least-privilege access for coding agents
Least-privilege access for coding agents limits files, commands, networks, and credentials to what each task needs. Use this review checklist before granting autonomy.
Read articleFactory Private
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.
Read articleAI Coding Agents
Engineering Management
Keeping long-running coding agents on track
Long-running coding agents need bounded milestones, externalized state, independent validation, and clear stop conditions. Use these controls for multi-day work.
Read articleFactory Private
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.
Read articleFactory Private
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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