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.
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Software Factory
The software factory platforms worth comparing
Compare software factory platforms by where work runs, what completes a task, and how access and release are governed. Distinguish agent workflows from the surrounding delivery system.
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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The architecture of a software factory
Follow a bug report through a software factory architecture, from context and planning to a tested patch, controlled release, and production feedback.
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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.
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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.
Read articleAI Coding Agents
Software Delivery
The multi-agent architecture behind reliable missions
Luke Alvoeiro explains the multi-agent architecture behind Factory Missions. Explore planning, independent validation, structured handoffs, and selective parallelism.
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Software Delivery
OpenAI dots vs Factory for software development
Compare OpenAI dots with Factory on software delivery, cloud computers, background work, model selection, pricing, and action approvals.
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Model Independence
Recursive self-improvement needs a better measure
Matan Grinberg discusses recursive self-improvement and AI adoption with Sabrina Halper. Separate model improvement, engineering feedback, token spending, and useful outcomes.
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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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Inside the software factory, and what it takes to build one
A software factory makes software delivery repeatable and measurable. Understand its history, the agent-native feedback loop, and the engineering work needed to operate one.
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.
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