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Developers and EDA researchers can leverage autonomous LLM-driven optimization to improve complex synthesis tools without manual heuristic design, enabling discovery of novel optimization strategies at production scale.
Use `git worktree` to give each Claude Code agent its own isolated directory so parallel agentic workflows never silently overwrite each other's uncommitted changes.
Teams building with Claude Code or Gemini can use AgentRQ to replace sequential human-agent handoffs with true parallel workflows, potentially cutting idle wait time in complex multi-step development tasks.
David Shin gave four autonomous Claude Code agents a MacBook, a Stripe account, and a $200/month Claude Max subscription with one goal — earn more than they cost — and published every wake, cost, and decision publicly for six months.