Software factory

A system for repeatable delivery

The word factory does not mean that software should be produced like identical physical goods. It describes the system around the work: how a request enters, how people make decisions, how code is changed, how checks provide feedback, and how a useful result reaches a customer.

A factory can include product discovery, repositories, development environments, code review, continuous integration, deployment automation, observability, security controls, and the teams that own each step. Its quality depends on how those parts connect. A fast compiler cannot compensate for a review queue that has no clear owner.

What a healthy factory makes visible

The system should make work boundaries, ownership, waiting, failure, and recovery understandable. Teams should be able to see which changes are in progress, where they are blocked, and what evidence is required before release. Good defaults reduce avoidable cognitive load while leaving room for changes that do not fit the standard path.

The factory also needs feedback. A release outcome can lead to a safer test, a clearer interface, a better runbook, or a change in team ownership. Improvement comes from learning about the system, not from increasing activity everywhere.

How Weave can measure it

Weave can connect pull request history, code output, review patterns, and quality signals to show how work moves through the development part of the factory. Delivery benchmarks add evidence about what happens after merge. A team can use that view to ask whether a longer cycle comes from larger changes, review waiting, rework, or a downstream release constraint.

Treat the result as a system diagnosis. A single score cannot represent customer value, operational health, or the experience of doing the work. Pair Weave's signals with product outcomes, incident data, and conversations with the people operating the factory.