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 ↗Prepare a focused review brief that connects a code change to its requirements, tests and affected behavior.
Large diffs are harder to review when the author does not explain the problem, important decisions or remaining validation gaps.
Help reviewers spend time on the change's substance with a traceable starting point.
An author marks a code change ready for review.
Draft the change summary, identify potentially affected areas and list unanswered review questions.
The author verifies every claim and reviewers independently assess correctness and suitability.
Do not claim tests passed unless execution evidence exists. AI review preparation does not constitute approval to merge.
Measure unsupported test claims, missing behavior changes, irrelevant commentary and reviewer preparation time.
Before expanding the workflow, compare the result with the current process. Include review effort and exceptions in that comparison so the improvement reflects the team's actual experience.
Read the implementation guide ↗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 ↗Prepare a scoped implementation plan from the repository's actual structure, conventions and test boundaries.
Explore this solution ↗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.