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What is Trunk-Based Development? Complete Guide (2025)

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Trunk-Based Development (TBD) is a version control strategy where all developers commit code changes directly to a single shared branch (the “trunk” or “main” branch) instead of using long-lived feature branches. This approach minimizes merge conflicts, accelerates integration, and enables continuous delivery by keeping the codebase in a constantly deployable state.

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Understanding Trunk-Based Development

Trunk-Based Development is a source control branching model where developers collaborate on code within a single branch, commonly called the “trunk,” “main,” or “master” branch. This approach discourages the creation of long-lived development branches, aiming to prevent complex merge conflicts and maintain a stable codebase. TBD is closely tied to practices like Continuous Integration (CI) and Continuous Delivery (CD), enabling teams to release code frequently and reliably.

Why Choose Trunk-Based Development

Modern software teams face increasing pressure to deliver features rapidly while maintaining code quality. Traditional branching strategies with long-lived feature branches often lead to painful merge conflicts, delayed integration, and slow release cycles. Trunk-Based Development addresses these challenges by promoting frequent integration and maintaining a single source of truth.

Key Characteristics of Trunk-Based Development

Continuous Integration

Developers commit code changes directly to the trunk multiple times a day, ensuring that the codebase is always in a releasable state. This practice is a cornerstone of Continuous Integration and facilitates Continuous Delivery.

Key practices include:

Short-Lived Feature Branches

In larger teams, short-lived branches may be used for code reviews and build verification before merging into the trunk. These branches are typically the work of a single developer and exist for a brief period to minimize integration issues.

Best practices for short-lived branches:

Feature Flags and Branch by Abstraction

To manage in-progress features without disrupting the main codebase, TBD employs techniques like feature flags and branch by abstraction. These methods allow incomplete features to be merged into the trunk safely and toggled on or off as needed. This approach allows teams to experiment with features and make incremental changes without delaying the main development flow.

Feature Flags enable:

Branch by Abstraction involves:

Benefits of Trunk-Based Development

Reduced Merge Conflicts

By avoiding long-lived branches, TBD minimizes the risk of significant merge conflicts, leading to a more streamlined development process. Regular commits to the trunk allow changes to be integrated and tested in smaller, more manageable chunks.

Conflict reduction strategies:

Enhanced Team Collaboration

With all developers working on a single branch, there’s greater visibility into ongoing changes, fostering improved collaboration and communication within the team. Since everyone is working on the same branch, feedback and code review are more immediate, enhancing team cohesion.

Collaboration benefits:

Accelerated Release Cycles

The emphasis on frequent commits and continuous integration ensures that the codebase is always in a deployable state, enabling faster and more reliable release cycles. By maintaining a stable trunk, teams can release updates frequently with confidence, reducing the risk of bugs and regressions.

Release advantages:

Scalability and Flexibility

Even large teams, like those at Google and Facebook, have successfully implemented Trunk-Based Development at scale. The model scales by using techniques like feature flags and branch by abstraction to manage parallel work without disrupting the main development stream. This allows for consistent development practices regardless of team size.

Scaling considerations:

Trunk-Based Development vs. Feature Branching

AspectTrunk-Based DevelopmentFeature Branching (Git Flow)
Branch LifetimeHours to 1-2 daysDays to weeks
Integration FrequencyMultiple times per dayPeriodically or at feature completion
Merge ConflictsMinimal, resolved immediatelyFrequent, complex resolutions
Code ReviewBefore trunk commitBefore merge to main
Release CadenceContinuous, multiple per dayScheduled, less frequent
Team SizeScales to any sizeBetter for smaller teams
CI/CD IntegrationEssential, tightly coupledOptional, often decoupled
Feature ManagementFeature flagsSeparate branches
Risk ProfileLow risk, small changesHigher risk, larger merges
Learning CurveModerate, requires disciplineLow, familiar to most devs

How to Implement Trunk-Based Development

Step 1: Establish Continuous Integration

Set up automated build and test pipelines that run on every commit. Ensure builds complete in under 10 minutes to maintain fast feedback loops.

CI requirements:

Step 2: Implement Feature Flags

Deploy a feature flag system to control feature visibility in production without requiring code changes.

Popular feature flag tools:

Step 3: Define Branch Policies

Establish clear rules for when and how to create branches.

Example policy:

Step 4: Train Your Team

Ensure all team members understand TBD principles and practices.

Training topics:

Step 5: Start Small

Begin with a pilot project or team before organization-wide rollout.

Pilot success criteria:

Common Challenges and Solutions

Challenge: “Our features take weeks to develop”

Solution: Use feature flags to merge incomplete code to trunk while keeping features hidden from users.

Challenge: “What about code review?”

Solution: Implement pre-commit hooks, pair programming, or very short-lived review branches (<24 hours).

Challenge: “Our builds are too slow”

Solution: Optimize test suites, implement test parallelization, or use incremental builds.

Challenge: “We need stable release branches”

Solution: Tag releases from trunk, use feature flags for stability, create release branches only for long-term support.

Challenge: “Junior developers might break trunk”

Solution: Implement robust automated testing, enable revert-on-red policies, provide mentorship and pair programming.

Best Practices for Success

1. Maintain Trunk Stability

2. Commit Frequently

3. Invest in Automation

4. Use Feature Flags Wisely

5. Practice Continuous Improvement

Tools and Technologies

Version Control Systems

CI/CD Platforms

Feature Flag Services

Monitoring and Observability

Real-World Examples

Google

Google has used Trunk-Based Development for decades, with over 25,000 developers committing to a single monorepo. Their success relies heavily on:

Facebook

Facebook deploys to production twice daily using trunk-based workflows:

Microsoft

Microsoft has transitioned many teams to Trunk-Based Development:

Frequently Asked Questions

What is trunk-based development?

Trunk-Based Development is a version control practice where developers merge small, frequent updates to a single branch called “trunk” or “main,” avoiding long-lived feature branches to enable continuous integration and faster release cycles.

Trunk-based development is recommended for CI because it ensures code is integrated frequently (multiple times per day), preventing integration hell, enabling fast feedback, and keeping the codebase in a constantly deployable state—all essential for effective continuous integration.

What is the difference between trunk-based development and Git Flow?

The main differences are:

How does trunk-based development work with feature flags?

Feature flags allow developers to merge incomplete features to trunk while keeping them hidden from users. Features are wrapped in conditional statements that check flag status, enabling deployment without release and gradual rollouts.

Can small teams use trunk-based development?

Yes! Small teams (2-10 developers) can often commit directly to trunk without branches. The smaller the team, the easier TBD becomes. Start with direct commits and add short-lived branches only when needed for code review.

The recommended maximum lifetime for feature branches in TBD is 24-48 hours. Ideally, branches should be merged within one day to minimize integration issues and maintain the benefits of frequent integration.

How do you handle releases in trunk-based development?

Releases are handled by:

  1. Tagging: Create release tags from trunk
  2. Feature flags: Control feature visibility in production
  3. Release branches: Only for long-term support (optional)
  4. Continuous deployment: Many teams deploy every trunk commit

What happens if someone breaks the trunk/main branch?

When trunk is broken:

  1. Immediate notification: Automated alerts to team
  2. Fast fix: Developer has 10 minutes to fix
  3. Revert policy: If not fixed quickly, revert the commit
  4. Post-mortem: Understand why tests didn’t catch the issue

Does trunk-based development work without automated testing?

TBD is extremely risky without comprehensive automated testing. The lack of testing would result in frequent trunk breaks and unreliable deployments. Automated testing is a prerequisite for successful TBD implementation.

How do code reviews work in trunk-based development?

Code reviews in TBD can be done via:

Considerations and Prerequisites

While TBD offers numerous advantages, it requires a disciplined approach to ensure build stability. Teams must implement robust automated testing and establish clear protocols for committing code to maintain the integrity of the main branch.

Prerequisites for success:

To successfully adopt TBD, teams must embrace the culture of frequent integration, fast feedback loops, and a high level of trust in the automated testing processes.

Conclusion

Trunk-Based Development is a powerful approach to version control that enables fast, reliable software delivery. By maintaining a single source of truth, integrating frequently, and leveraging modern techniques like feature flags, teams can reduce merge conflicts, accelerate release cycles, and scale effectively.

Key takeaways:

Additional Resources

For a more comprehensive exploration of Trunk-Based Development, including its history, best practices, and implementation strategies, visit:


Last Updated: December 26, 2025
Reading Time: ~15 minutes
Difficulty Level: Intermediate


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