Example workflows to evaluate with BranchRunner
Ten workflows are documented end to end, with human control points, evidence, integrations, and edition fit.
DeliveryDocumentedShip an issue as a validated pull requestImport the issue, agree the requirements, let the run implement and prove them, then approve the handoff.Read the workflowThroughputDocumentedParallelize frontend and backend implementationSpecialist sessions work in separate worktrees, then integrate in a controlled merge workspace before review.Read the workflowReliabilityDocumentedDiagnose and repair complex failuresReproduce the failure in a disposable environment, repair it, and keep the regression test as evidence.Read the workflowGovernanceDocumentedGovern continuous backlog executionQueue tasks under policy, concurrency and budget limits, and review only what asked for attention.Read the workflowMaintenanceDocumentedUpgrade dependencies and frameworks under evidenceInventory impact, change in controlled increments, and retain compatibility evidence.Read the workflowReviewDocumentedReview and repair a proposed changeTurn findings into scoped repairs without letting the authoring context mark its own work complete.Read the workflowSecurityDocumentedRemediate a security findingReproduce the finding, constrain access, repair it, and preserve validation and approval evidence.Read the workflowModernizationDocumentedModernize legacy code in bounded slicesCharacterize behavior first, then migrate one seam at a time with compatibility checks.Read the workflowClient deliveryDocumentedDeliver client work with reviewable boundariesSeparate client environments, acceptance criteria, approvals, and delivery evidence.Read the workflowGovernanceDocumentedOperate in a regulated development environmentApply identity, access, evidence, and retention controls without claiming certification.Read the workflow
Starts from
An issue in GitHub, Linear or Jira
Ends with
A draft pull request with evidence
Best edition
Cloud or Community
Starts from
One task with two clear surfaces
Ends with
One integrated, reviewed change
Best edition
Cloud or Enterprise
Starts from
A failing test, alert or bug report
Ends with
A repair with a regression test
Best edition
Any edition
Starts from
A queue of specified work items
Ends with
A reviewed batch of pull requests
Best edition
Enterprise
Starts from
An outdated dependency or framework
Ends with
A reviewed upgrade with migration evidence
Best edition
Any edition
Starts from
A pull request or candidate diff
Ends with
Findings, repairs, and rerun checks
Best edition
Any edition
Starts from
A scanner or review finding
Ends with
A reviewed remediation with evidence
Best edition
Enterprise or Community
Starts from
A legacy component with unclear behavior
Ends with
A bounded modernization change
Best edition
Any edition
Starts from
Approved client scope
Ends with
A client-reviewed delivery package
Best edition
Cloud or Enterprise
Starts from
A change under defined controls
Ends with
An attributable approval and evidence record
Best edition
Enterprise
Where each team usually starts
Engineering leaders
Continuous backlog execution, with budgets and completion review.
Governed backlogStart with one workflow, not a migration
Most teams run issue-to-pull-request on one repository first, then add concurrency once the review habit is in place.
Cloud is a future offering outside the initial self-hosted release. Registering interest creates no service or launch commitment.