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This article outlines how AI augments modern Git workflows: drafting commit messages, suggesting diffs, automating code reviews and tests, and assisting merges. It compares tools and patterns, shows how to plug models into CI/CD and PR triage, and stresses guardrails—data privacy, reproducibility, and human oversight—so teams can speed delivery without sacrificing quality or traceability.