--- title: "Trunk-Based Development vs Gitflow: Which Branching Model Actually Works?" description: "Trunk-based vs Gitflow: which branching model really works for modern CI/CD? We compare both, share trade-offs, and argue why trunk-based (with automation like merge queues) usually wins for teams that care about speed, reliability, and flow." author: julien-danjou date: 2025-09-05 category: opinion readTimeMinutes: 7 featured: false product: merge-queue coverImage: ../../assets/blog/trunk-based-development-vs-gitflow-which-branching-model-actually-works.png --- Ask 10 engineers about branching strategies, and you'll get 12 opinions. But in practice, two models dominate: **trunk-based development** and **Gitflow**. Both have their fans. Both have their flaws. One keeps flow moving. The other adds ceremony. Let's dig into the trade-offs — and why trunk-based, especially with the right tooling, usually wins for modern CI/CD. ## 🤓 What Is Trunk-Based Development? In [trunk-based development](https://trunkbaseddevelopment.com/), everyone works off a **single main branch** (the “trunk”). Developers create short-lived feature branches, commit a few changes, and merge back quickly. The goal is simple: keep work flowing into trunk often and in small increments. - Feature branches live for **hours or days**, not weeks. - Every merge is tested and integrated immediately. - Release branches are snapshots of trunk at a moment in time, merged back once shipped. Think of it as **continuous integration in its purest form**. ## ❤️ Benefits of Trunk-Based Development For small teams, trunk-based feels natural. But even at scale, it shines because it aligns perfectly with modern delivery practices. - **Continuous integration baked in** → every change hits trunk fast. - **Smaller diffs = easier debugging** → when something breaks, you know which change caused it. - **Faster bugfixes and releases** → no waiting for a massive branch to merge. - **Async reviews possible** → small PRs are easier to review quickly. - **Supports automated testing at scale** → every push is testable in isolation. It’s no accident that the **[DORA metrics](https://dora.dev/)** (lead time, deployment frequency, change failure rate) correlate strongly with trunk-based workflows. ## 😢 Shortcomings of Trunk-Based Development It’s not perfect, of course. - **Bug risk creeps in** → regression testing must be automated and reliable, or things slip. - **Merge bottlenecks** → when CI/CD is slow, developers end up waiting in line. - **Discipline required** → without guardrails, trunk can turn into chaos. This is exactly where tooling like **merge queues** comes in (more on that later). ## 🤓 What Is Gitflow? Gitflow, by contrast, is **branching by default**. - Long-lived feature branches - Separate release branches - A “develop” branch distinct from “main” ![Gitflow diagram showing feature branches, develop, release branches, hotfixes and master over time, with tags 0.1, 0.2 and 1.0](../../assets/blog/trunk-based-development-vs-gitflow-which-branching-model-actually-works/1.png) Every feature has its own branch, worked on until “done,” then merged into the mainline. This model became popular because it mirrors traditional software release cycles: features accumulate, get bundled, then released as a package. ## ❤️ Benefits of Gitflow Gitflow’s appeal is structure. - **Parallel feature work** → developers can isolate features for long periods. - **Scheduled releases** → fits organizations with monthly/quarterly releases. - **Simpler merges (per branch)** → fewer, larger merges instead of constant integration. For organizations with heavy regulation or long release cadences, this structure can feel safer. ## 😢 Shortcomings of Gitflow But Gitflow has serious trade-offs in a CI/CD world: - **Merge conflicts pile up** → the longer a branch lives, the harder it is to merge. - **Context loss** → reviewers see giant PRs instead of bite-sized changes. - **Slower feedback** → bugs discovered weeks later instead of hours. - **Harder history** → the commit graph becomes a maze. Gitflow optimizes for control, not speed. And in practice, that control often means delay. ## 🧐 Gitflow vs. Trunk-Based Development So how do they really compare? **Trunk** Gitflow Branch lifespan short-lived long-lived Merge frequency continuous occasional, big merges Team workflow everyone integrates fast parallel silos Best fit teams aiming for velocity teams with rigid 👉 If you want to ship continuously, trunk-based is the clear winner. 👉 If you’re in a world of quarterly releases and heavy compliance, Gitflow might feel safer. But don’t confuse “safe” with “fast.” ![Lone person walking a winding path through a dark forest](../../assets/blog/trunk-based-development-vs-gitflow-which-branching-model-actually-works/2.png) ## When to Use Trunk-Based Development - **New projects / MVPs** → you want fast iteration and feedback. - **Small teams** → fewer merge conflicts, less ceremony. - **Continuous delivery environments** → when CI/CD is solid, trunk keeps it flowing. The key: trunk-based works best when **automation supports it**. Without reliable CI, automated testing, and guardrails, trunk can get messy. ## When to Use Gitflow - **Scheduled release cycles** → when you’re not deploying continuously. - **Teams with many concurrent features** → Gitflow can compartmentalize. - **Heavily regulated industries** → where multiple approvals and long QA cycles are required. It can still work — but expect slower delivery and heavier merge overhead. ![Tangled tree branches over a circuit board](../../assets/blog/trunk-based-development-vs-gitflow-which-branching-model-actually-works/3.png) ## Our Take: Why Trunk-Based Wins (With the Right Tools) At Mergify, we're opinionated: **trunk-based development is the better model for most modern teams**. But — and it's a big but — trunk-based systems require **supporting infrastructure**. Without it, you’ll quickly hit bottlenecks. That's where tools like **merge queues** make trunk-based development practical: - Instead of everyone pushing at once and overloading CI, pull requests enter **[a merge queue](/product/merge-queue)**. - CI tests the stacked changes together before merging. - Developers get reliability without losing speed. Pair that with **automation rules** (e.g., "merge only if CI passes + two approvals") and **[CI Insights](/product/ci-insights)** (to spot flaky tests and slow jobs), and trunk-based becomes not just viable — but optimal. Gitflow doesn't need as much tooling, but it pays the price in velocity. ![People on ladders tending a tree whose leaves are gears](../../assets/blog/trunk-based-development-vs-gitflow-which-branching-model-actually-works/4.png) ## Frequently Asked Questions **Is GitHub Flow trunk-based development?** Not exactly. [GitHub Flow](https://docs.github.com/en/get-started/using-github/github-flow) uses short-lived feature branches like trunk-based, but it’s simpler and less strict. **Is trunk-based always better?** For speed and flow, yes. For compliance-heavy, scheduled-release teams, Gitflow may fit better. **What does a trunk-based diagram look like?** A single trunk branch with small, short-lived feature branches constantly merging back. ## Final Thoughts Trunk-based vs Gitflow isn’t just a question of branching. It’s a question of **culture and velocity**. - Trunk-based aligns with continuous delivery and modern DevOps. - Gitflow aligns with control and slower release cycles. Our take? If you care about flow, pick trunk-based — and back it up with automation like **[merge queues](/product/merge-queue)** and **[CI Insights](/product/ci-insights)** to keep trunk green and teams shipping. Because the real choice isn't just between trunk and Gitflow. It's between **speed and ceremony**.