Treating Software Engineering Like Real-Time Strategy Gaming
Insights from the Y Combinator episode “Self-Play for LLMs, AI for Biology, Formal Verification, and More | YC Paper Club”, published June 12, 2026.
In "Self-Play for LLMs, AI for Biology, Formal Verification, and More | YC Paper Club" (Y Combinator, June 2026), luke Orthwine argues that modern software engineering should shift from linear, thoughtful planning to an agentic, high-parallelism approach modeled after Real-Time Strategy (RTS) games. By maximizing 'Actions Per Minute' (APM) through autonomous agents and prioritizing rapid iteration over perfection, teams can significantly…
In "Self-Play for LLMs, AI for Biology, Formal Verification, and More | YC Paper Club" (Y Combinator, June 2026), the intended audience is: Technical founders and engineering leads looking to scale developer velocity using agentic workflows.
Luke Orthwine argues that modern software engineering should shift from linear, thoughtful planning to an agentic, high-parallelism approach modeled after Real-Time Strategy (RTS) games. By maximizing 'Actions Per Minute' (APM) through autonomous agents and prioritizing rapid iteration over perfection, teams can significantly increase output and velocity.
Technical founders and engineering leads looking to scale developer velocity using agentic workflows.
Topics: AI Agents, Software Engineering, Productivity, RTS, Workflow Optimization
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Luke Orthwine argues that modern software engineering should shift from linear, thoughtful planning to an agentic, high-parallelism approach modeled after Real-Time Strategy (RTS) games. By maximizing 'Actions Per Minute' (APM) through autonomous agents and prioritizing rapid iteration over perfection, teams can significantly increase output and velocity.
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