Stop Overusing Git Branches with Trunk-Based Development

Are you tired of spending your Monday mornings resolving massive merge conflicts from a feature branch that's been sitting idle for two weeks? This post explores why moving toward Trunk-Based Development (TBD) can stop your team from drowning in "merge hell" and help you ship smaller, more frequent updates.

What is Trunk-Based Development?

Trunk-Based Development is a version control strategy where developers merge small, frequent updates to a single central branch—often called the "trunk" or "main"—multiple times a day. Instead of long-lived feature branches that drift away from the codebase, everyone works on a single stream of truth. It's a way to keep the team in sync and reduce the friction of integration.

If you're used to the Gitflow workflow, this might feel a bit scary. You're likely used to creating a branch for every single ticket, no matter how small. In TBD, you skip that. You commit directly to the main branch or use very short-lived branches (lasting less than a day) that get merged almost immediately.

Why Should You Use It Instead of Gitflow?

You should use Trunk-Based Development to increase deployment frequency and reduce the risk of massive integration failures. While Gitflow is great for scheduled release cycles, it often leads to "integration debt."

Here is a quick look at how the two approaches differ in practice:

The catch is that TBD requires high confidence in your automated testing. You can't just push broken code to the main branch and hope for the best. You'll need a solid CI/CD pipeline—think Jenkins or GitHub Actions—to catch regressions before they hit production. Without automated tests, TBD is just a recipe for breaking the build constantly.

How Do I Manage Unfinished Features?

You manage unfinished features using feature flags (also known as feature toggles) to hide incomplete code from users. This allows you to merge code into the trunk even if the actual feature isn't ready for public consumption. The code is there, but it's effectively dormant behind a conditional check.

This technique is what makes Continuous Deployment possible. You aren't waiting for a "big bang" release; you're just toggling switches in production. It's a much safer way to work—especially if you're worried about microservices architecture complexities or breaking downstream dependencies. It keeps the codebase moving without the fear of a half-finished function breaking the entire site.

If you're worried about the complexity of managing these toggles, don't be. Most modern development environments are built around this idea of decoupling deployment from release. It's a much more agile way to live.