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What are the differences between Trunk Based and Feature Branch approaches?
sobes.tech AI
Answer from AI
Trunk Based Development:
- All developers commit frequently (at least once a day) directly to the main branch (trunk/main).
- The main branch should always be in a working state.
- Features are developed incrementally and hidden behind feature flags until they are fully completed and ready for release.
- Fast integration cycle, early conflict and error detection.
- Fewer long-lived branches, simplifies merges.
Feature Branching:
- For each new feature, bug fix, or experiment, a separate branch is created from the main or another stable branch.
- Development is conducted in isolation on this branch.
- Upon completion, the feature branch is merged back into the main branch after code review.
- Potentially long-lived branches can lead to complex merge conflicts.
- Isolated development can delay integration and problem detection.
Main differences:
| Criterion | Trunk Based Development | Feature Branching |
|---|---|---|
| Number of branches | Minimum branches, main branch is current | Many branches, one for each task |
| Commit frequency | High, frequent commits to main branch | Less frequent, commits to separate branches |
| Integration | Continuous, frequent | Less frequent, during branch merging |
| Conflict resolution | Early, small conflicts | May be late, complex conflicts |
| Risk of instability | Lower (with proper use of feature flags) | May be higher (long-lived branches) |
| Releases | More frequent, easier release due to feature flags | Depends on branch merging process |
In Trunk Based Development, the focus is on continuous integration and rapid feedback, whereas Feature Branching provides greater isolation for developing individual features.