GitHub Flow
About
GitHub Flow is a lightweight, branch-based workflow designed for teams practicing continuous delivery or continuous deployment. It focuses on:
Keeping the
main
branch always deployableCreating feature branches for new work
Using pull requests for code review
Releasing code to production as soon as it's ready
It is ideal for cloud-native teams, fast-paced product development, and teams that push code multiple times per day.
Core Principles
Main is always deployable
The
main
branch must always be stable and production-ready.
Create branches off main
Every new feature, bugfix, or experiment starts from
main
in a dedicated branch (e.g.,feature/add-login
).
Open a pull request early
Developers open a pull request (PR) as soon as they push code to facilitate early discussion and feedback.
Continuous feedback and testing
Automated tests, linters, and CI checks run against the pull request.
Team reviews the PR before merging.
Deploy after merge
Once reviewed and approved, the branch is merged into
main
, and the change is deployed.
Quick iterations
Changes are small, atomic, and deployed frequently.
Comparison with Other Workflows
Git Flow
main
, develop
, etc.
Scheduled releases
Suits large products with infrequent releases
GitHub Flow
main
only (plus short-lived branches)
Continuous delivery
Ideal for cloud-based and SaaS products
Trunk-Based Dev
main
with optional short-lived branches
Continuous delivery
Large teams, fast delivery, monorepos
GitHub Flow simplifies the branching model for teams that prioritize speed and simplicity over complex release management.
Workflow Steps
Step 1: Create a New Branch
Branch naming should be descriptive:
feature/...
,bugfix/...
,hotfix/...
.
Step 2: Commit Regularly
Keep commits atomic, testable, and meaningful.
Step 3: Push and Open a PR
Go to GitHub and open a Pull Request (PR).
Explain what the change is and why it’s needed.
Request reviews from team members.
Step 4: Collaborate and Review
Discuss changes in the PR.
Apply suggestions and push additional commits.
Automated CI runs (tests, static analysis, etc.).
Step 5: Merge When Ready
Once approved and passing CI, merge to main (usually via "Squash and merge").
Keep the commit history clean.
Step 6: Deploy Immediately or via Automation
Optionally, use GitHub Actions to auto-deploy on merge.
Monitor the release for issues.
Best Practices
Always branch from
main
to stay up to date.Keep branches short-lived — a few hours to 1–2 days.
Automate CI checks: test coverage, formatting, security scans.
Write clear PR descriptions with context and screenshots if needed.
Enable branch protection rules to enforce:
PR reviews
Passing CI
Commit message standards
Squash merge for clean history.
When to use GitHub Flow and when not to ?
Criteria
When to Use GitHub Flow
When Not to Use GitHub Flow
Team Size
Small to medium-sized teams that can collaborate quickly and review each other's work often.
Very large teams working on complex or monolithic applications with multiple stakeholders and release cycles.
Release Frequency
Teams deploying daily or multiple times per day, using Continuous Delivery or Continuous Deployment.
Teams following a scheduled release cycle (e.g., quarterly or monthly releases) or needing long QA/testing phases.
Codebase Type
Ideal for web apps, APIs, and microservices where fast iteration and rollback is easy.
Not ideal for embedded systems, firmware, or critical infrastructure where changes must be thoroughly tested before integration.
Branching Complexity
Prefer minimal branching with short-lived feature branches.
Projects that need develop, release, hotfix branches or long-lived feature branches (e.g., Git Flow).
Testing Maturity
Teams with automated testing and CI/CD pipelines in place.
Teams relying heavily on manual testing or post-merge QA.
Deployment Infrastructure
Supports automated deployment pipelines (e.g., GitHub Actions, Jenkins, CircleCI) with ability to roll out quickly.
Manual deployments or environments where deployment is infrequent, slow, or involves approval gates.
Developer Workflow
Developers can work independently on features, push changes frequently, and merge once reviewed.
Workflows needing strict change management, release gates, or signoffs from multiple departments.
Environment Requirements
Works well in setups with fewer environments (dev → staging → prod), especially when prod can be updated at will.
Not suitable where multiple release environments (QA, UAT, pre-prod) are tightly controlled or if prod updates are delayed.
Risk Tolerance
Suitable for low to moderate risk applications where issues can be rolled back or hotfixed quickly.
High-risk domains like finance, healthcare, aerospace where code must be stable and auditable before deployment.
Feature Isolation
Great when feature flags or toggles are used to control what’s visible to users.
Hard to use if features cannot be hidden or isolated after merging to main
.
Tooling Support
Strong integration with GitHub, GitHub Actions, and other modern developer tools.
May require adaptation if you're using Bitbucket, GitLab, or enterprise tools with more advanced branching needs.
Code Review Culture
Encourages frequent peer reviews via pull requests, ideal for collaborative teams.
Less suitable where reviews are formal or happen only at certain release milestones.
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