A software factory should learn from shipped work

Factory describes a software factory as a continuous delivery model in which signals from bug reports, feedback, requirements, and production monitoring inform subsequent work rather than remaining isolated in individual investigations. Its Factory product is presented as tooling for operating this loop across intent intake, context resolution, planning, execution, review and policy, delivery, and observability, while the broader software-factory concept remains independent of any one platform. The article recommends beginning with a specific recurring issue, such as a repeated CI failure, defining what automation may inspect and change, and establishing when human judgment is required. It emphasizes that reliable completion requires testable evidence from running applications, repository tests, and review rules rather than an agent’s explanation, and that failures should be retained to improve instructions or validation. A Chainguard example, in which a Droid session worked across six repositories for two weeks to build 80 packages, illustrates sustained automation but is not presented as proof of universal outcomes.

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