spawn

You can run parallel AI agents in isolated environments by using git worktrees, which provide each agent with an independent filesystem to explore different strategies without interfering with one another. This approach maximizes the probability of finding an optimal solution.

You can orchestrate multiple subagents by spawning N agents within isolated git worktrees, managing session configuration and task dispatching to coordinate concurrent tool calls and maintain filesystem isolation across diverse agent strategies.

Yes, git worktrees are used to ensure each agent operates in a clean, independent filesystem. This session-based environment coordinates concurrent agent tool calls and maintains filesystem isolation during parallel exploration.

The best way to guide agent behavior is by using template-driven strategies, such as specialized templates for optimizers, refactorers, and test-writers. These templates direct the parallel agents toward specific engineering outcomes.

Sequential task execution bottlenecks workflows by processing tasks one after another, preventing simultaneous strategy exploration. Spawning parallel subagents in isolated worktrees solves this by allowing multiple approaches to be tested concurrently.