๐ง๐ต๐ฒ ๐ฃ๐ผ๐๐ฒ๐ฟ ๐ผ๐ณ ๐๐ฒ๐ฎ๐๐๐ฟ๐ฒ ๐๐น๐ฎ๐ด๐ You want to create resilient software without destabilizing the mainline. A well-thought-out Git workflow with feature flags and short-lived experimental branches can help.
Here's how it works:
- Feature flags let you deploy code for features youโre not exposing to users yet.
- Experimental branches let you isolate exploration work from the main branch.
- Together, they enable safer experimentation, faster rollbacks, and clearer ownership.
Key components:
- Main branches: main and develop (optional)
- Feature branches: feature/ for user-facing features behind a flag
- Experimental branches: experiment/ for exploratory work
- Tags and releases: use semantic versioning tags for stable releases
To set up your repository:
- Start with a clean main branch
- Enable protected branches and require PR reviews
- Enforce linear history
When implementing feature flags:
- Choose a flag strategy that fits your stack
- Use runtime flags with a central configuration service or library
- Store the flag state in a simple, observable place
Example workflow:
- Create an experiment or feature branch
- Implement behind-flag code
- Add flag metadata
- PR and review
- Deploy with flag on
- Decide and act
Production considerations:
- Observability: instrument flag usage and set thresholds for error rates
- Rollbacks: feature flags enable quick toggling without redeploys
- Data integrity: ensure migrations are reversible
Tools and tips:
- Use descriptive branch names and concise PR titles
- Enforce PR templates with fields for goal, risk, testing, rollback
- Assign flag owners and set SLAs for reviewing experimental work