Your team owns the build.
Start with AI workflow training and the Factory Line source package. Workshop support is available when you need feedback.
Explore the $2,500 package ↗Help developers propose smaller, better-explained changes with evidence that reviewers can inspect.
Which checks are required? Who approves sensitive changes? What repository guidance defines architecture and coding conventions?
Confirm repository permissions, protected branches and secret-handling rules. Untrusted issue text must not authorize commands or access.
We use these answers to agree on integration boundaries, responsible reviewers, access controls and a definition of done. The proposal identifies dependencies and what is included before implementation begins.
Start with isolated maintenance work and mandatory review. Evaluate actual diffs and tests before expanding the assistant's scope.
Measure reviewer effort, accepted changes, regressions and rework caused by missing context.
Submit the reviewed change through the normal pull-request process with test evidence and documented limitations.
Document the owner, support path and recovery procedure. Define how the workflow behaves when information is incomplete, access fails or a reviewer declines the proposed result. Agree on what needs fresh validation after a model or integration change.
The workflow stays centered on your business. The engagement determines who learns, implements and operates it.
Start with AI workflow training and the Factory Line source package. Workshop support is available when you need feedback.
Explore the $2,500 package ↗Get everything in DIY, three months of workshops, weekly team sessions and direct implementation coaching.
Explore guided implementation ↗Include all the learning and guidance, with ownership of agreed operations and major implementation decisions.
Explore managed delivery ↗Bring a process, a bottleneck, or an idea. We'll help you decide what to automate, what to keep under human review, and where to begin.