Start with a defined trigger
An author marks a code change ready for review.
Software development
Pull Request Review Preparation:
Pull Request Review Preparation:
the workflow in practice.
Pull request-to-review brief
FROM INPUT TO HANDOFFA clear job
Explore the architecture behind the pattern ↗
A clear job
for every step.
This is a proposed workflow pattern. We confirm data access, permissions, integration options and review ownership with your team before implementation.
Do not claim tests passed unless execution evidence exists. AI review preparation does not constitute approval to merge.
Assemble the right context
Collect the diff, approved task, relevant repository guidance and actual validation results.
Perform the bounded task
Draft the change summary, identify potentially affected areas and list unanswered review questions.
Review before taking action
The author verifies every claim and reviewers independently assess correctness and suitability.
Deliver and record the result
Save the accepted description and reviewer checklist with the pull request.
Build an improvement loop
around real work.
Measure unsupported test claims, missing behavior changes, irrelevant commentary and reviewer preparation time.
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.
CHOOSE THE RIGHT SUPPORTBuild it. Build with us.
Build it. Build with us.
Or have us manage it.
The workflow stays centered on your business. The engagement determines who learns, implements and operates it.
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 ↗Work through it together.
Get everything in DIY, three months of workshops, weekly team sessions and direct implementation coaching.
Explore guided implementation ↗We manage the foundation.
Include all the learning and guidance, with ownership of agreed operations and major implementation decisions.
Explore managed delivery ↗CONNECTED OPPORTUNITIES
AI-Assisted Code Change Planning
Prepare a scoped implementation plan from the repository's actual structure, conventions and test boundaries.
Explore this solution ↗START WITH YOUR WORKWhere is your team
Where is your team
doing too much by hand?
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.