agenthub

Git worktree isolation keeps each approach separate in its own dedicated git worktree, preventing conflicts and preserving every attempt independently. This allows multiple subagents to work simultaneously on the same objective without overwriting each other's progress.

The best way to evaluate competing results is by using a metric or judge-based system to rank outcomes. After ranking, you merge the strongest result into your main branch and archive the rest, ensuring optimal convergence through parallel experimentation.

You need parallel agent execution when the best solution is not obvious and you want faster convergence. It is ideal for workflows involving performance tuning, refactoring, test generation, bug fixing, copy variations, and research exploration.

Yes, git branch management is required to coordinate multiple competing agents. The process relies on spawning isolated subagents in separate git worktrees, which requires session tracking, board-based agent communication, and branch merging to manage results.

Yes, you can use parallel agents for content variation and research exploration. By spawning multiple isolated subagents to compete on the same objective, you can generate diverse approaches and rank them using metric or judge-based evaluation.