Pick Trunk-Based
When your team can keep tests fast, batch size small, and release continuously with strong automation.
Branching Strategy Selection
Use this page to pick a branching strategy based on release cadence, governance requirements, emergency handling model, and rollback expectations.
How to use this page: start with the matrix, then validate your choice against the scenario notes below.
Choose the strategy that matches your release rhythm and control model.
Use the controls beside each decision dimension for a quick definition.
| Decision Dimension | Trunk-Based Development | GitHub Flow | Release Flow | Git Flow |
|---|---|---|---|---|
|
Learning curve
?How difficult the branching model is to learn, explain, and use correctly day to day.
|
Medium to high | Low | Medium | High |
|
Release cadence
?How frequently the model naturally supports releasing to production.
|
Continuous | Very high | High | Medium |
|
Governance depth
?How much formal control, review, approval, and release structure the model usually expects.
|
Automation-centric | Light to medium | Medium to high | High |
|
Testing automation level
?How strong and reliable automated build, test, and validation pipelines need to be for the strategy to work well.
|
Very high required | High recommended | Medium to high | Medium to high |
|
Team maturity / Git discipline
?How much the team can consistently keep branches short-lived, reviews clean, and rollback or recovery practices disciplined.
|
High | Medium | Medium to high | Medium to high |
|
Shared QA / UAT dependency
?How much the strategy assumes shared QA, UAT, or staging environments are part of the formal release path.
|
Low | Low to medium | High | High |
|
Approval latency tolerance
?How well the strategy handles release approvals or sign-offs that may take hours or days.
|
Low | Low | High | High |
|
Artifact integrity requirement
?How strongly the model depends on building once and promoting the exact same artifact through QA, staging, and production.
|
High | High after merge | Very high | Very high |
|
Emergency handling
?How urgent production fixes are typically created, reviewed, merged, and deployed under the strategy.
|
Direct fix to trunk or micro branch | Fast hotfix branch + expedited PR | Hotfix into active release, then sync main | Dedicated hotfix branch from main |
|
Rollback pattern
?How the strategy usually restores production behavior and how Git history is corrected afterward.
|
Optional runtime disable, then rollback PR to trunk; FlexDeploy restore optional | Rollback PR to main; FlexDeploy restore optional | Rollback on release branch, then sync main | Revert via hotfix and retag |
|
Best team context
?The type of organization, release model, and delivery environment where the strategy is usually the best fit.
|
Mature DevOps teams with strong CI/CD | SaaS teams shipping continuously | Teams with slow approvals and shared QA/UAT | Large teams with scheduled release trains |
When your team can keep tests fast, batch size small, and release continuously with strong automation.
When most changes can ship from main quickly and PR policy is your primary governance gate.
When main can integrate continuously, but shared QA, staging, or delayed approvals need a governed release branch.
When release trains, hardening windows, and formal approvals require structured long-lived lanes.
Use FlexDeploy to build once, track versions, and promote predictably regardless of selected strategy.
Use this sequence to drive a strategy decision with FlexDeploy customers in a single session.
Align on branch, PR, approval, artifact, webhook, promotion, and rollback vocabulary.
Use the matrix to narrow to one primary strategy and one fallback strategy.
Walk standard, emergency, and rollback patterns in the visualizer and confirm ownership at each gate.
Set branch protection, PR approval policy, FlexDeploy webhook trigger, and production gate model.
Capture the workshop outcome and copy a decision summary into your project tracker, wiki, or change record.
Generated from your selections.