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 Software Factory
AI Coding Agents
Software Delivery
Cross-repository coding agent coordination
Cross-repository coding agents need explicit dependency order, isolated workspaces, compatible changes, and release evidence. Use this plan for coordinated updates.
Read articleEnterprise AI
Software Factory
What enterprise software teams build with Factory
Published Factory case studies show enterprise software work across modernization, secure packages, financial products, search infrastructure, and day-0 launches.
Read articleEnterprise AI
Software Factory
Enterprise software modernization beyond the demo
Enterprise software modernization needs clear scope and reviewable evidence. Comarch’s published migrations show how Factory Missions fit that work.
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Engineering Management
Evaluating self-improving software after release
Evaluating self-improving software requires stable checks and comparable work. Connect workflow changes to accepted outcomes, human correction, cost, and later failures.
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 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.
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Enterprise AI
Self-improving software architecture in practice
Self-improving software architecture connects operational evidence to reviewed changes. Define what can change, where learning persists, and who controls the next release.
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Enterprise AI
Self-improving software needs a failure record
Self-improving software needs evidence that a change removed a recurring failure. Factory’s published Signals research shows that loop with human approval before merge.
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Guides
Build a self-improving software workflow
Build a self-improving software workflow around one recurring failure. Use Factory automations, reviewable instructions, and QA evidence without granting automatic release authority.
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Enterprise AI
A software factory should learn from shipped work
A software factory connects incoming signals to reviewed changes and production feedback. Explore Factory’s existing architecture, automations, and validation resources.
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Inside the software factory, and what it takes to build one
A software factory is a managed model for producing software with repeatable inputs, standardized tooling, and measurable output. The model is increasingly agent-native, with development agents handling execution across the SDLC. Chainguard, Groq, Empower, and Nav run theirs on Factory.
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The architecture of a software factory
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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