How is trunk-based development different from Git Flow?

Git Flow uses multiple long-lived branches (develop, feature, release, hotfix) with a defined merge process between them, while trunk-based development minimizes branching, integrating small changes directly (or via very short-lived branches) into a single trunk continuously.

How do teams hide unfinished work with trunk-based development?

Instead of isolating incomplete features on a separate branch, teams merge the code into trunk but hide it from users behind a feature flag, toggled on only when the feature is ready, decoupling code deployment from feature release.

Does trunk-based development require continuous integration?

It's tightly coupled with CI in practice — since everyone commits to the same branch frequently, automated builds and tests need to run on every commit to catch integration problems immediately, which is essentially the definition of continuous integration.

Is trunk-based development risky without a strong test suite?

Yes — committing directly to a shared trunk without solid automated testing can destabilize the branch for the whole team, which is why mature test coverage and fast CI feedback are considered prerequisites for the practice to work well.

What does research say about trunk-based development and team performance?

Google's DORA (DevOps Research and Assessment) State of DevOps reports have repeatedly found that short-lived branches and trunk-based development practices correlate with higher-performing teams across metrics like deployment frequency and change failure rate.

Programming

Trunk-Based Development

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Trunk-based development is a source-control branching strategy in which developers integrate small, frequent changes directly into a single shared branch (the trunk, often called main), avoiding long-lived feature branches in favor of…

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Definition

Overview

Trunk-based development (TBD) is a version-control workflow in which most or all development happens against a single shared branch — the 'trunk' (commonly `main` or `master`) — rather than isolating work on long-lived feature branches that are merged back only when complete. Developers commit small, frequent changes directly to trunk (or through very short-lived branches lasting hours, not days or weeks, that are merged quickly), and incomplete or in-progress features that shouldn't yet be visible to users are hidden behind feature flags rather than being kept isolated on a separate branch. The practice is a foundational prerequisite for continuous integration and continuous delivery (CI/CD): because trunk is always the single source of truth and is kept in a near-always-releasable state, automated build and test pipelines can run against every small commit, catching integration problems immediately rather than during a large, painful merge at the end of a long-lived branch's life. This directly addresses 'merge hell' — the exponentially growing difficulty of reconciling two long-diverged branches — since changes are integrated continuously in small increments rather than accumulated and reconciled all at once. Trunk-based development is closely associated with elite engineering-performance research, notably Google's internal practices and the DevOps Research and Assessment (DORA) team's State of DevOps reports, which have repeatedly found trunk-based development (short-lived branches, frequent small merges) correlated with higher-performing software delivery teams, measured by deployment frequency, lead time for changes, and change failure rate. It contrasts with Git Flow and other long-lived-branch models (feature branches, release branches, develop branches) that were popular in earlier eras of software development but require more manual merge coordination and tend to delay integration until larger batches of work are 'complete.' Successful trunk-based development typically depends on a mature testing and CI culture (a strong automated test suite gating every commit), feature flags to decouple deployment from release, and small, incremental commit habits, since without these supports, committing directly to trunk can destabilize the shared branch for everyone.

Key Concepts

All (or nearly all) development integrates into a single shared trunk branch
Feature branches, if used at all, are extremely short-lived (hours, not weeks)
Incomplete features are hidden via feature flags rather than isolated on separate branches
Foundational prerequisite for continuous integration and continuous delivery (CI/CD)
Avoids 'merge hell' by integrating small changes continuously instead of in large batches
Correlated with elite software delivery performance in DORA's State of DevOps research
Requires a strong automated test suite to keep trunk in a near-always-releasable state
Contrasts with long-lived-branch models like Git Flow

Use Cases

Enabling continuous integration and continuous delivery pipelines

Reducing merge conflicts and integration pain on fast-moving teams

Supporting frequent, incremental production deployments

Coordinating large engineering organizations around a single source of truth

Rolling out features gradually and safely using feature flags instead of branch isolation

Improving deployment frequency and lead time metrics tracked by DORA

Frequently Asked Questions

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