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Advanced Git workflows and version control concepts

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Git Smart: Safe AI Collaboration Through Intelligent Version Control

· 7 min read
Ian Derrington
Founder & CEO, Supernal Intelligence

When AI agents start modifying your codebase, traditional Git workflows quickly reveal their limitations. How do you ensure an AI agent doesn't force-push to main? How do you maintain branch naming conventions? How do you coordinate multiple AI agents working on different features simultaneously?

The solution lies in making Git itself intelligent - understanding context, enforcing safety rules, and coordinating distributed AI collaboration.

The Problem: Git Wasn't Designed for AI Agents

Traditional Git workflows assume:

  • Human developers who understand project conventions
  • Manual review before destructive operations
  • Implicit knowledge of branch naming and commit message standards
  • Humans who can detect and avoid conflicts

AI agents break all these assumptions. They:

  • Don't inherently know project conventions
  • Can execute destructive commands without hesitation
  • May create non-standard branch names
  • Need explicit guidance to avoid merge conflicts