What is a software factory? How it works and where AI fits

A software factory is an operating model that standardizes software delivery through defined ownership, shared practices, reusable components, automation, and feedback, enabling changes to move consistently from request through implementation, review, testing, packaging, deployment, and monitoring. It incorporates DevOps culture, CI/CD pipelines, internal developer platforms, and optionally AI coding tools, but depends on agreed processes, accountable decision-makers, and evidence at each stage rather than any single technology. AI agents can accelerate implementation by generating code, tests, and pull requests, though their actions require controls over permissions, commands, package installations, and access in addition to conventional code review and testing. Security is presented as continuous evidence across the lifecycle, including dependency and secret checks, reachability analysis, signed artifacts, software bills of materials, and deployment verification, while human owners remain responsible for exceptions and releases. Benefits can include reduced setup work and more consistent delivery, but maintaining platforms, avoiding unreliable automation, and accommodating atypical workloads remain challenges; performance should be assessed through delivery quality measures such as lead time, deployment frequency, failure rates, recovery time, review delays, and unresolved reachable risks rather than code volume or automation levels.

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