A Software Factory Is a Workflow, Not a Product. Build One in 20 Minutes.

A software factory is presented as an automated workflow for recurring software-development tasks rather than a single product that can replace developers, covering issue discovery, context gathering, repository setup, implementation, review, pull-request creation, documentation, and task completion. Effective automation requires interoperable capabilities such as version control, CI, issue tracking, institutional memory, ephemeral workspaces, cross-repository coordination, adversarial code review, and workflow triggers, which agents can connect through APIs or command-line interfaces. The example implementation uses GitHub, Linear, and Polygraph in a script that selects eligible issues, assesses whether they can be handled autonomously, launches an agent session to implement and review changes, opens pull requests, verifies CI, and links progress back to Linear. The discussion argues that design documents alone cannot reliably direct complex implementation because plans drift from running code, so organizations should also record completed designs and agent traces. It concludes that software factories work best when adapted to existing tools and used selectively for suitable tasks, with humans remaining involved for ambiguous or complex work and able to resume or refine agent-produced changes.

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