Chapter 14: Git Workflow

Git Workflow

Up to now we’ve learned individual pieces: commits, branches, merge, stash, tags, history… Git Workflow is how you put all those pieces together into a repeatable, team-friendly daily/weekly process so that:

  • Code stays stable
  • Features ship fast (or on schedule)
  • Conflicts are minimized
  • Everyone knows what to do next
  • History is readable years later
  • Deployments don’t break production

There is no single “best” Git workflow — it depends on:

  • Team size (solo vs 50 people)
  • Release frequency (daily deploys vs quarterly versions)
  • Project type (web app, mobile app, library, embedded software)
  • Whether you need to support multiple versions in production

In 2026 the three most talked-about and used workflows (by far) are:

  1. GitHub Flow (most popular for web/apps with continuous deployment)
  2. Trunk-Based Development (very popular in big/fast-moving companies)
  3. GitFlow (still used, especially in enterprise/legacy/desktop software with scheduled releases)

We’ll explain each one like we’re actually using it on a small todo-app project — with real commands and why/when to choose it.

1. GitHub Flow – The Modern Default (Simplest & Most Popular in 2026)

Who uses it? GitHub itself, most open-source projects, startups, web/API teams doing daily/weekly deploys, small-to-medium teams.

Core idea: One long-lived branch (main), short-lived feature/bugfix branches, Pull Requests for review, merge to main → deploy immediately (or very soon).

Daily flow (real example)

  1. Start day fresh

    Bash
  2. New task: “Add dark mode toggle”

    Bash
  3. Work (many commits – small & logical!)

    Bash
  4. Ready? Push & create Pull Request

    Bash

    → Go to GitHub → “Compare & pull request” → write description → assign reviewers → link to ticket

  5. Review happens on GitHub (comments, suggestions, approvals)

  6. After approval → squash/merge (or rebase/merge) to main

    → GitHub button: “Squash and merge” (clean history)

  7. Delete branch (auto or manual)

    Bash

Pros in 2026

  • Very simple (only one long branch)
  • Fast feedback loop (PRs = early review)
  • Linear-ish history if you squash
  • Perfect for CI/CD (every merge → auto-deploy)

Cons

  • Can have big PRs if not broken small
  • Less support for hotfixes on old versions

When to use → Web/apps, continuous delivery, teams < 20–30 people, you deploy often.

2. Trunk-Based Development – The High-Speed / Big-Tech Favorite

Who uses it? Google, Meta, many FAANG-level teams, teams with strong CI/CD + feature flags.

Core idea: Everyone commits very frequently (multiple times/day) directly to main/trunk (or very short-lived branches < 1–2 days). Use feature flags/toggles to hide unfinished work.

Daily flow example

  1. Start day

    Bash
  2. Small change or behind flag

    Bash
  3. Merge fast (small PRs or direct push if solo/small team)

  4. Deploy → flag off for users → later turn on gradually

Key techniques

  • Very small commits/PRs (< 200–400 LOC ideal)
  • Feature flags (LaunchDarkly, ConfigCat, home-made if-statements)
  • Automated tests on every commit/PR
  • No long-lived branches

Pros

  • Extremely fast integration (no merge hell)
  • Always releasable main
  • Encourages small, safe changes

Cons

  • Requires strong automated testing + flags
  • Can feel scary for juniors
  • History noisier without squash

When to use → Large/fast teams, monorepos, you want to ship many times per day.

3. GitFlow – The Classic / Structured One (Still Alive in 2026)

Who uses it? Enterprise, desktop/mobile apps with versioned releases, teams with strict QA/release cycles, companies maintaining multiple versions (v1.2 still in support while v2.0 out).

Core branches

  • main → production-ready tags (v1.0.0, v1.0.1…)
  • develop → integration branch (next release)
  • feature/* → short-lived
  • release/* → prepare version (bug fixes, version bump)
  • hotfix/* → urgent production fixes

Flow example

  1. Start new feature from develop

    Bash
  2. Finish → merge to develop

    Bash
  3. Ready for release? Create release branch

    Bash
  4. Test/QA on release branch

  5. Done? Merge to both main & develop + tag

    Bash
  6. Urgent bug in prod? Hotfix from main

    Bash

Pros

  • Clear separation production/next/dev
  • Supports multiple versions/hotfixes
  • Structured for large teams/QA gates

Cons

  • Many long-lived branches → merge hell
  • Slower release cycle
  • Overkill for web/continuous deploy

When to use → Scheduled releases (quarterly), need to patch old versions, regulated industries.

Quick Comparison Table (2026 Perspective)

Workflow Long-lived branches Release frequency Best for team size Complexity Most common in…
GitHub Flow Only main Daily–weekly Small–medium Low Web, startups, OSS
Trunk-Based Almost none Many/day Medium–large Medium Big tech, monorepos
GitFlow develop + release + hotfix Monthly–quarterly Large/enterprise High Desktop, legacy, regulated

Your First Workflow Recommendation (as beginner in Hyderabad 2026)

Start with GitHub Flow — it’s the easiest to learn, matches most tutorials/job expectations, and scales surprisingly well.

Typical daily commands summary (GitHub Flow style)

Bash

Which one feels closest to your current/future job? Want to do a full live simulation of GitHub Flow on a dummy repo? Or dive deeper into feature flags for trunk-based? Or how GitHub Actions fits in modern workflows?

Just tell me — we’ll practice it together step by step. You’re at the point where Git stops being commands and becomes a real superpower! 🚀

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