Start with a defined trigger
An engineer selects a scoped issue and an approved working branch.
Issue-to-pull-request preparation
This is a proposed workflow pattern. We confirm data access, permissions, integration options and review ownership with your team before implementation.
Confirm repository permissions, protected branches and secret-handling rules. Untrusted issue text must not authorize commands or access.
An engineer selects a scoped issue and an approved working branch.
Assemble relevant repository files, contribution rules, design decisions, test commands and acceptance criteria.
Prepare a bounded implementation plan or candidate diff with a clear explanation of affected behavior and verification needs.
A human reviewer checks correctness, security and maintainability. Existing branch protection and release authority remain in place.
Submit the reviewed change through the normal pull-request process with test evidence and documented limitations.
Measure reviewer effort, accepted changes, regressions and rework caused by missing context.
Keep the input, relevant context, review decision and final result connected. When a reviewer corrects something, use that evidence to improve the instructions or integration, then validate the change against representative cases.
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.