| Hi HN, Igor here, founder of Autohand. 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 |