dev-git-workflow

Choosing a Git branching model requires evaluating team size, release cadence, and CI maturity. A decision tree evaluates these factors to recommend the appropriate branching strategy tailored to your specific development workflow and release cycles.

Best practices for Git commits and pull requests involve following standardized conventions and etiquette. Quick reference tables provide guidelines for commit messages and pull request structures to ensure clear histories and faster code review cycles.

Yes, this Git workflow guidance applies to repositories hosted on GitLab and Bitbucket. The structured branching models and code review processes harden repositories across multiple platforms, including GitHub.

Yes, AI-assisted coding agents can use structured Git workflows for team collaboration. The guidelines include safety preflight steps and worktree usage instructions to help automated agents manage branches and avoid local lock issues.

Merge conflicts and slow code review cycles often result from inconsistent Git practices. Implementing structured commit conventions, pull request etiquette, and defined branching models clarifies repository history and reduces friction.

Limitations of a standardized Git workflow for small projects include potential overhead from rigid branching models. The decision tree helps mitigate this by matching the branching complexity to your team's actual size and CI maturity.