neart.ai
EcosystemStoryHow We BuildPricingBlog
Try Inspected →
neart.ai
EcosystemStoryHow We BuildBlog

Ní neart go cur le chéile

A SaltCore Group Limited company

© 2026 neart.ai · SaltCore Group Limited. All rights reserved.

Software Quality

Should You Use Trunk-Based Development or Long-Lived Branches With CI?

4 December 20254 min read

For most teams practising continuous integration, **trunk-based development with short-lived branches produces a healthier pipeline than long-lived feature branches.** The reason is in the name: continuous integration means integrating frequently, and long-lived branches do the opposite — they delay integration, which lets conflicts and divergence accumulate until merging becomes a painful, risky event.


## What the Two Models Actually Are


**Trunk-based development** keeps a single main branch (the trunk) that is always releasable. Developers work on small branches that live for hours or a day or two, merge back frequently, and rely on CI to verify each merge. Incomplete work is hidden behind feature flags rather than isolated on a branch.


**Long-lived feature branches** keep a branch open for the duration of a whole feature — sometimes weeks. The branch diverges from main while everyone else keeps committing, and the eventual merge reconciles a large, accumulated difference.


## Why Long-Lived Branches Hurt CI


The problems compound the longer a branch lives:


- **Merge conflicts grow non-linearly.** Two weeks of divergence is far more than twice as hard to merge as one week.

- **CI on the branch tests a fiction.** The branch passes against an old version of main; the real question — does it pass *integrated with everything merged since* — is answered only at merge time, which is the worst moment for surprises.

- **Integration bugs hide until the end.** Two features that conflict semantically (not just textually) are not discovered until both land.

- **Review balloons.** A three-week branch is a thousand-line review that nobody does well.


The deeper issue is that you are not really doing *continuous* integration at all — you are doing occasional, high-risk integration.


## Why Trunk-Based Development Helps


Small, frequent merges keep every change close to the current state of main:


- Conflicts are small and resolved while the context is fresh.

- CI on a short branch tests something very close to reality.

- Integration problems surface within hours, when they are cheap to fix.

- Reviews are small and genuinely thorough.

- The trunk stays releasable, so you can deploy whenever you choose.


## The Catch: Discipline and Tooling


Trunk-based development is not free. It demands practices that long-lived branches let you skip:


1. **Feature flags.** Unfinished work merges to trunk dark, switched off, so a half-built feature does not break anyone.

2. **A fast, reliable CI gate.** If your pipeline takes 40 minutes and is flaky, frequent merging is agony. Speed and stability are prerequisites.

3. **Strong test coverage.** Because the trunk must always be releasable, your automated tests are the safety net catching regressions on every merge.

4. **Small, well-scoped changes.** Breaking a feature into independently shippable slices is a skill teams have to build.


## Designing the Merge Gate


Whatever branching model you choose, the CI merge gate is where quality is enforced. A sound gate for trunk-based work:


- Runs the **full test suite** against the branch *merged with the latest main*, not the branch in isolation — this catches integration breakage before it lands.

- **Blocks merge on any failure**, with no manual override that becomes routine.

- Includes **linting, type checks, and security scanning**, not just tests.

- Completes fast enough that developers are not tempted to batch up changes to avoid the wait.


Merge queues help here: they test each change against the actual sequence in which changes will land, eliminating the "passed on my branch, broke on main" race.


## When Long-Lived Branches Make Sense


There are legitimate exceptions. Open-source projects taking contributions from untrusted forks, large risky migrations that genuinely cannot be flagged, or maintaining several supported release versions all justify longer-lived branches. But these are exceptions to manage carefully, not the default. Building enterprise-grade products at neart.ai, we lean on trunk-based flow precisely because it keeps the integration risk small and continuous rather than large and occasional.


## Practical Takeaway


Prefer trunk-based development with short-lived branches and feature flags, so integration happens continuously and conflicts stay small. Invest in a fast, reliable merge gate that tests each change merged against the latest main. Reserve long-lived branches for genuine exceptions like untrusted contributions or multi-version maintenance.

Related posts

Software Quality

How Do You Ship Software Without Regressions?

Software Quality

What Is End-to-End Testing, and When Should You Use It?

Software Quality

What Does WCAG 2.2 Mean for Your Testing Strategy?