Git in the Age of AI Agents.

AI agents are changing software development. A single engineer can now coordinate several agents and subagents working simultaneously across an application. This dramatically increases production capacity—but it also multiplies branches, worktrees, uncommitted changes, conflicts, migrations, generated files, and potentially destructive Git operations.

Git in the Age of AI Agents is not another introduction to Git. It is an operational guide for teams that already use Git and now need to remain in control while humans and AI agents modify the same project.

The book explains how to define a safe working perimeter for every agent, isolate concurrent tasks with branches and worktrees, inspect repository state before any mutation, create reviewable commits, integrate parallel work, protect shared history, and recover from incidents without destroying valuable evidence.

Every important Git command is explained before the reader is asked to execute it: what it reads or changes, why it is needed, what output to expect, its level of risk, and how to stop or recover when the observed state differs from the approved state.

Each operational chapter contains:

• a real engineering problem;
• an emergency response;
• a detailed procedure;
• explained Git commands;
• reusable prompts for AI agents;
• common mistakes and warning signs;
• decision points requiring human approval;
• a final checklist;
• a team-ready deliverable.

The book also addresses difficult situations: overlapping agent modifications, lost commits, unsafe rebases, force pushes, damaged main branches, uncontrolled worktrees, migration conflicts, secrets, generated files, production incidents, and repositories that no longer represent the expected application.

Examples inspired by the development of Tansa, a real multi-agent application, show how technically valid Git operations can still produce a functionally incorrect result—and how clear authority, preserved evidence, and disciplined recovery procedures can prevent a difficult situation from becoming a disaster.

This book is designed to be opened at the moment a problem occurs. Readers can follow the emergency section first, apply the procedure, and then study the deeper explanations when the repository is safe again.

Who This Book Is For

• Software engineers working with AI coding agents
• Technical leads coordinating concurrent development
• Teams using agents and subagents on the same repository
• Engineering managers defining safe Git policies
• Developers responsible for recovering damaged repositories
• Organizations introducing AI-assisted development at scale