Today we are sharing a deep technical guide on how we built Git Flow Automation in our Evolve platform. It solves a real engineering problem: how to run hundreds of agent tasks in parallel across a codebase without conflicts, without slowing down, and without breaking CI.
Rather than simple scripts or CI tricks, we use Git worktrees to give each agent its own isolated branch and working directory. This lets each agent run tests, detect conflicts, and even roll back individual tasks. We also built conflict detection, AI assisted resolution, and merge strategies that keep history clean and safe for teams.
Here is my take based on 20+ years of experience in Devtools and dealing with lots of large code bases.
The guide walks through:
Why sequential execution fails at scale
How parallel worktree orchestration works
Task lifecycle and dependency ordering
Conflict detection and automatic resolution
Testing per task and rollback controls
Merge strategies and commit hygiene
Safety limits and observability tooling
This is a technical system design share, not a product announcement. I would love feedback from builders and maintainers who work on large codebases or autonomous tooling.
Today we are sharing a deep technical guide on how we built Git Flow Automation in our Evolve platform. It solves a real engineering problem: how to run hundreds of agent tasks in parallel across a codebase without conflicts, without slowing down, and without breaking CI.
Rather than simple scripts or CI tricks, we use Git worktrees to give each agent its own isolated branch and working directory. This lets each agent run tests, detect conflicts, and even roll back individual tasks. We also built conflict detection, AI assisted resolution, and merge strategies that keep history clean and safe for teams.
Here is my take based on 20+ years of experience in Devtools and dealing with lots of large code bases.
The guide walks through:
Why sequential execution fails at scale
How parallel worktree orchestration works
Task lifecycle and dependency ordering
Conflict detection and automatic resolution
Testing per task and rollback controls
Merge strategies and commit hygiene
Safety limits and observability tooling
This is a technical system design share, not a product announcement. I would love feedback from builders and maintainers who work on large codebases or autonomous tooling.
Super interested in read different ideas.
Read the guide here:
https://autohand.ai/docs/guides/git-flow-automation