GitHub Actions and Git: A Complete Workflow Guide
Originally published on DevToolHub . Git and GitHub Actions are two tools most teams adopt without ever deciding how they fit together. You pick a branching habit, wire up a workflow file, and six months later nobody remembers why deploys are slow or why one pull request skipped its tests. So this guide covers the decisions that actually matter — branching model, rebase timing, workflow…
GitHub Actions and Git form a powerful workflow when properly integrated. This guide explains the key decisions to align these tools effectively.
The key components are Git for version control, GitHub to host the repository and enforce review policies, and GitHub Actions to automate tasks like testing and deployment. The branch you push determines which workflows run, and the review rules dictate whether the branch can be merged.
The typical event sequence is: an action triggers (push, pull request, schedule, or manual), GitHub matches this to the appropriate workflow file in .github/workflows/, and the jobs in the workflow run. Jobs run steps sequentially on separate machines by default. Steps are either shell commands or packaged actions.
Choosing a branching model matters. GitHub Flow, with a main branch and short-lived feature branches merged via pull requests, is recommended for most web teams using continuous deployment. Trunk-based development, where everyone commits to main frequently behind feature flags, suits teams releasing continuously but requires a fast test suite. Git Flow, with separate develop, release, and hotfix branches, is only beneficial for versioned software with parallel releases.
Rebasing cleans up local commits before sharing, while merging combines branches from other contributors. Rebasing should only be done for commits not shared, as rebasing shared commits can cause conflicts. Use git rebase main for feature branches and git config --global pull.rebase true to enable auto-rebasing on pull requests.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
