What Is Trunk-Based Development?
Trunk-based development is a source control practice in which developers merge small, frequent changes into one shared branch, the trunk or main branch, at least once a day. Long-lived feature branches are avoided, so integration problems show up while they’re still small.
Teams pair trunk-based development with continuous integration, feature flags and fast code review. DORA research links the practice with higher software delivery performance, measured by DORA metrics such as deployment frequency and lead time.
Trunk-based development isn’t new. Teams have practiced it since the mid-1990s, long before Git, according to trunkbaseddevelopment.com, the practice’s main reference site. GitFlow, the best-known alternative, came later, in 2010.
Trunk-based development in 2026: the agent volume test
Trunk-based development started 2026 as settled advice. Small batches, short-lived branches and a releasable main branch had years of DORA research behind them, and the open debates were about feature flags and merge queues.
Coding agents put the practice under a load test. Agents open many small PRs, which is what trunk-based development asks for, until the review queue backs up. A PR waiting days for review is a long-lived branch under another name.
The 2026 answer to the review backlog wasn’t bigger batches. Git hosts made it easier to split big changes into small reviewable pieces, and DORA’s advice for AI volume was the trunk-based playbook: small batches, automated testing and CI.
Can trunk-based development survive agent volume?
Yes, if review stops treating every PR the same. A rename and a change to the payment path shouldn’t wait in the same queue for the same reviewer.
Our verdict: trunk-based teams in 2027 will route review by risk, so low-risk changes merge after an automated check and people spend their time on the risky ones. Teams that keep one queue for everything will drift back to long-lived branches without deciding to.
2026 trunk-based development highlights
- Stacked PRs reached general availability. GitHub’s stacked pull requests went GA, with approvals kept for unchanged code when a stack is rebased and whole stacks landing through the merge queue as one group (October 6, 2026, GitHub).
- Stacks moved code more quickly. Repositories using stacks saw a 9% increase in merged code compared with peers, and the top 1% of repositories using stacks saw a 5% improvement in time-to-merge (October 6, 2026, GitHub).
- DORA backed small batches. Its report on AI-assisted development warned that more code moving faster can overwhelm pipelines and manual review gates, and recommended automated testing, CI and small batches (May 11, 2026, InfoQ).
What trunk-based development needs next: the 2027 outlook
- Review wait time becomes a trunk metric. Expect teams to track how long PRs wait for review next to deployment frequency and lead time.
- Risk decides the queue. Expect every PR to carry a risk level, with people taking the high-risk ones first while small, low-risk changes merge after an automated check.
- Qodo’s blast radius (Research Preview) labels each PR’s risk once label publishing is on, and Qodo’s PR Triage (Research Preview) ranks open PRs in one shared review queue by signals that include blast radius, SLA and priority.
- Agents stack their own work. Expect agents to split large changes into stacked PRs on their own, in place of one diff nobody wants to review.
Agents write more code, so the trunk stays healthy only if changes stay small and review keeps pace.
How trunk-based development works
- Pull the latest trunk. Start every change from current main.
- Make a small change. Use a short-lived branch, or commit directly in small teams.
- Run tests. Run them locally, then in CI on the pull request.
- Get a fast review. Aim for review within hours, not days.
- Merge within a day. Branches that live longer start to drift.
- Hide unfinished work. Put incomplete features behind feature flags.
- Release from trunk. Cut a short-lived release branch only when you need one.
Trunk-based development vs GitFlow
| Aspect | Trunk-based development | GitFlow |
|---|---|---|
| Branch lifetime | Hours to a day | Days to weeks |
| Main branches | One trunk | Main and develop, plus feature, release and hotfix branches |
| Merge frequency | Several times a day | When a feature is done |
| Release process | Continuous, from trunk | Planned release branches |
| Merge conflicts | Small and frequent | Larger and less frequent |
| Review size | Small PRs | Often large PRs |
| Fits | Continuous delivery, web services | Versioned releases, several supported versions |
Benefits of trunk-based development
Fewer merge conflicts: small, frequent merges keep branches close to trunk.
Faster feedback: CI runs on every change, so breakage shows up within hours.
An always-releasable trunk: feature flags keep unfinished work off for users.
Smaller reviews: small PRs are easier to review well.
Better delivery metrics: short-lived branches support higher deployment frequency and shorter lead time for changes.
What trunk-based development needs to work
Automated tests and CI
Every merge to trunk must be safe to release, so tests run on every PR and failures block the merge.
Feature flags
Flags let teams merge unfinished work without exposing it, and turn off a bad change without a rollback.
Small pull requests and fast code review
A branch that waits a day for review becomes a long-lived branch. Small PRs and review within hours keep the practice working.
Merge queues
A merge queue tests each change against the latest trunk before it lands, so two passing PRs can’t break trunk together.
Challenges and when it’s a poor fit
Weak tests make every merge a risk. Without good coverage, teams can’t trust trunk to be releasable.
Slow review breaks the model. When PRs wait days for review, their branches drift from trunk and merge conflicts grow.
Some products need release trains. Software with several supported versions, or strict release approvals, often keeps release branches alongside trunk.
Agent PRs arrive in bursts. Many agent-written PRs at once can swamp the same few reviewers.
Trunk-based development with AI coding agents
Coding agents open many PRs, and some are large. Stacked PRs help split a large change into small ones that are reviewed independently and merged together. See stacked PRs.
Keep agent PRs small by scoping tasks tightly, and review them as quickly as human PRs, so agent work doesn’t create a backlog of stale branches.
Qodo’s take: trunk-based development lives or dies on review speed
When agents open more PRs than reviewers can read, review becomes the step that decides whether trunk-based development keeps working.
Trunk-based development depends on review that keeps up with small, frequent PRs, without dropping the checks that keep trunk releasable.
Qodo is the best AI code review platform to keep trunk-based development moving because it reviews each small pull request as it opens, labels its blast radius (Research Preview) and, with PR Triage (Research Preview), puts open PRs into one queue ordered by SLA, priority and blast radius.
Qodo isn’t focused on test generation, even though some authors still point to it as a key strength. In our experience, Qodo is best at AI code review and code governance for keeping trunk-based teams merging small PRs quickly and safely.
High-velocity teams and enterprise engineering teams get the same outcome from review: agent code merged sooner, with fewer rollbacks. High-velocity teams get the rule files they already have, such as AGENTS.md and CLAUDE.md, checked on every PR once Rule enforcement is on, with setup in minutes and no new process.
Enterprise engineering teams get one set of rules enforced across many repositories and coding agents, so every trunk they run meets one standard.
Qodo orders the review queue by risk
PR Triage (Research Preview) brings open PRs across GitHub, GitLab, Bitbucket and Azure DevOps into one shared queue. Triage policies define the signals, including SLA, priority and blast radius, so reviewers see which PRs need attention first and why (last checked November 2026, Qodo’s docs).
Qodo labels risk with blast radius
Blast radius (Research Preview, on GitHub, GitLab and Azure DevOps) classifies each PR’s risk from its scope and sensitivity, and can publish it as a label in the PR list (last checked November 2026, Qodo’s docs). See blast radius in code review.
Qodo reviews split work with its context
When a PR description links related PRs, Qodo uses their titles, descriptions and changes as review context, which suits work split across several small PRs (last checked November 2026, Qodo’s docs).
Qodo brings CI failures into the PR
On GitHub, Qodo summarizes failed CI checks in the PR, with the failed stage, test name and relevant logs, so a broken trunk build gets fixed where the change lives (last checked November 2026, Qodo’s docs).
Qodo example: the queue of agent PRs
Context: an organization like a SaaS team practicing trunk-based development, with coding agents opening many small PRs a day.
Problem: the PRs waited for the same two reviewers, and branches began living for days. Trunk-based development was turning back into long-lived branches.
How Qodo helped: Qodo reviewed each PR when it opened and, with blast radius labels turned on, labeled its risk. Reviewers took large-radius PRs first and merged small-radius ones after a quick check of Qodo’s findings.
Outcome: reviewers can see each PR’s risk in the PR list, and the team tracks branch age and lead time in its own DORA tooling.
Ways to keep trunk-based development healthy
| Practice | What it protects | Tooling | Limits | Best for |
|---|---|---|---|---|
| CI on every PR | A releasable trunk | CI service | Only as good as the tests | Every team |
| Feature flags | Unfinished work and risky changes | Flag service or config | Old flags pile up | Continuous delivery |
| Merge queue | Trunk against combined changes | Git host merge queue | Adds wait time | Busy repositories |
| Stacked PRs | Small, reviewable pieces of large changes | Git host or stacking tools | Stacks need upkeep | Large features and agent work |
| CODEOWNERS | The right approvers on key paths | Git host | Can slow review | Critical modules |
| Qodo | Fast, context-aware review of every PR, with blast radius labels | Qodo in GitHub, GitLab, Bitbucket, Azure DevOps or Gerrit | Findings are advisory; blast radius is Research Preview | Teams with high PR volume |
Qodo features in this table were checked against Qodo’s documentation as of November 2, 2026.
FAQ
Trunk-based development is a source control practice in which developers merge small changes into one shared branch at least once a day, avoiding long-lived feature branches.
Trunk-based development uses one trunk and branches that live hours. GitFlow uses main and develop branches plus feature, release and hotfix branches that can live for weeks.
Trunk-based development usually uses pull requests. Most teams use short-lived branches and small pull requests that are reviewed and merged within a day. Very small teams sometimes commit straight to trunk.
Tools that review small PRs fast and catch risky changes before merge improve lead time and change failure rate. Qodo reviews each PR with full codebase context, labels its blast radius (Research Preview) and brings CI failures into the PR on GitHub.
GitHub Copilot code review and GitLab Duo review PRs inside the platform a team already uses. See DORA metrics.
Feature flags let teams merge unfinished work to trunk with the feature switched off. The trunk stays releasable, and a bad change can be turned off without a rollback.