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Use Git branches to organize changes and GitHub Actions to check them: create a short-lived branch, open a pull request, and run automated checks on both pushes and pull requests. Merge or rebase according to your team’s history policy, and give each workflow only the credentials it needs.
How Git branches and Actions fit together
A Git branch is a lightweight way to develop work independently. GitHub Actions automates tasks around repository events: a workflow file defines when work runs, what jobs it contains, and the steps in those jobs. A practical baseline for many teams is to make a topic branch for a change, commit useful units of work, open a pull request for review, and integrate after review and required checks pass. It is a starting pattern, not a universal rule; some projects use long-lived integration or release branches.
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Git’s documentation describes different project workflows, including more elaborate branch structures for larger projects. Choose a pattern your contributors can follow consistently rather than adopting complexity without a need. See Git’s workflow documentation and Pro Git’s discussions of maintaining a project and distributed workflows.
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Merge, rebase, or cherry-pick?
These commands integrate work in different ways. A merge integrates a branch while retaining its relationship in the history. A rebase replays commits onto a new base, producing new commit identities and a more linear history. Cherry-pick applies selected commits rather than integrating a branch as a whole.
#1 Best Overall
| Approach | What it does | Consider it when |
|---|---|---|
| Merge | Integrates a branch while preserving the branch integration relationship in history. | The team values that history, or commits have already been shared and rewriting them would disrupt collaborators. |
| Rebase | Replays commits onto a new base and changes their identities in history. | The team prefers a linear history and the commits being rewritten are not shared, or everyone affected has coordinated. |
| Cherry-pick | Applies selected commits rather than integrating an entire branch. | A particular commit is needed without bringing in the whole branch. |
There is no universal winner: history preferences, review conventions, release practices, and whether commits are already public all matter. Avoid casually rebasing published shared work; coordinate with collaborators before rewriting history. Pro Git explains the merge and rebase trade-offs, while Git distinguishes branch-level merging from commit-level cherry-picking in its workflow documentation.
How to add a first GitHub Actions workflow
GitHub discovers workflow YAML files in .github/workflows. Files can use the .yml or .yaml extension. A workflow has a name, triggers, and jobs; each job selects a runner and contains steps. GitHub’s Actions quickstart introduces this structure.
This example runs a project’s existing checks when code is pushed to its default branch or a pull request targets that branch. Replace the branch name and placeholder test command with the repository’s actual configuration. The dependency installation step is intentionally left to the project: Python, JavaScript, and other projects have different dependency and setup requirements.
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on:
push:
branches: [main]
pull_request:
branches: [main]
permissions:
contents: read
jobs:
test:
runs-on: ubuntu-latest
steps:
- name: Check out repository
uses: actions/checkout@v6
# Add the language-specific setup and dependency installation here.
- name: Run project checks
run: <your-project-test-or-lint-command>The quickstart search result available on 2026-10-07 showed actions/checkout@v6; treat that as a point-in-time example, not a permanent recommendation. Before adopting an action version, check the current documentation and the action’s maintained instructions, and follow your repository’s policy for pinning and updating actions. See GitHub’s workflow syntax reference.
Choose triggers and filters that match the work
A push trigger runs for pushes to branches or tags, subject to any filters. A pull_request trigger can provide feedback during review. These events do not necessarily test the same commit or code: the event’s context and the workflow’s checkout configuration determine what is checked out. The push event’s GITHUB_SHA identifies the tip commit pushed to the ref. Consult GitHub’s event reference when choosing an event and interpreting its run.
Branch, tag, and path filters can narrow which events start a workflow. When a workflow specifies both branch and path filters, both conditions must match. This can reduce unnecessary runs, but filtering has a cost: skipped workflows due to branch, path, or commit-message filtering can leave associated checks pending.
- Use a push check for early feedback on commits arriving on the branches that matter to the team.
- Use pull-request checks to make results available during review, before integration.
- Before making a check required, confirm that the trigger and filters will actually run for every change that must satisfy the rule.
GitHub’s event documentation covers push behavior, filters, and event details. Repository branch protection or rulesets can require checks, but the right required-check policy depends on the repository and its workflow design.
Give workflows only the permissions they need
Set GITHUB_TOKEN permissions explicitly and narrowly. In the example above, contents: read allows checkout without granting broad write access. A build or test job generally should not receive write permissions unless its task requires them.
Permissions can be specified for a workflow or for an individual job. Use workflow-level permissions when all jobs need the same access; use job-level permissions when jobs have different responsibilities and narrower access is possible. Once you specify any permissions in a map, permissions you omit are set to none, so include every permission the workflow actually needs. Also remember that an action may be able to access the token through the GitHub context even when you did not explicitly pass it as an input.
GitHub documents the syntax and omitted-permission behavior in its permissions reference and discusses token and workflow risks in its secure-use guidance.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Handle secrets and untrusted contributions carefully
Store sensitive values as GitHub secrets, scoped to the repository or environment that needs them, and expose each secret only to the step that uses it. Avoid echoing a secret or inserting untrusted pull-request text directly into a shell script. Automatic log masking is useful, but it is not guaranteed to catch every transformed form of a secret; masking is defense in depth, not permission to print credentials.
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Connect checks to review and integration
Use fast checks on branch pushes to catch problems while work is in progress, then expose relevant checks on pull requests so reviewers can consider their results before integration. Configure branch protection or rulesets to require the checks that the repository depends on, and verify filters do not cause a required check to be skipped and left pending.
Keep an initial test workflow focused on testing or linting. Add deployment credentials, production environments, and approval gates only when the workflow needs to deploy; deployment permissions and environment policies should be designed for that separate responsibility.
Keep the workflow maintainable
- Use the team’s established branch and integration conventions, and document exceptions that affect shared commits.
- Keep trigger filters understandable; narrow them only when the resulting feedback and required-check behavior remain clear.
- Review action versions, workflow syntax, supported events, and security guidance against GitHub’s current documentation before reusing an example.
- Separate jobs with different permission needs so a routine test does not inherit access intended for another task.
GitHub Actions behavior and security guidance can change, and runner choices, action versions, and repository policies vary. The examples here are adaptable starting points, not a guarantee that a workflow suits every repository.
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