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 implementation and pull-request review assistance grounded in repository context and engineering acceptance criteria.
Generated code can be locally plausible while ignoring project conventions, security boundaries or an existing abstraction. Review needs the surrounding design.
Help developers propose smaller, better-explained changes with evidence that reviewers can inspect.
An engineer selects a scoped issue and an approved working branch.
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.
Confirm repository permissions, protected branches and secret-handling rules. Untrusted issue text must not authorize commands or access.
Measure reviewer effort, accepted changes, regressions and rework caused by missing context.
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 ↗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.