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I Turned Coding Agents Into a Strategy Game — Ido Salomon, AgentCraft

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AI Engineer
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AI Engineer
Date
Key takeaways · AI-distilled
  • Salomon argues the limit on running many agents is human capacity to steer, direct and review them, not model capability, and that strategy games like StarCraft already taught those skills.
  • AgentCraft draws agents as units on a map where the file system is the terrain, uses heat maps to show where work is happening, and binds the space bar to jump to whatever needs .
  • For autonomy it adds orchestrators, loops and a review kit that presents visual evidence of what agents did; for collaboration, shared rooms put people and agents in the same workspace.
  • An early, simpler mobile-game-style mode targets the roughly 90% of people Salomon says are not yet power users.
Terms in this piece · Glossary
  • multi-agent — Using several AI agents on one problem — splitting work in parallel, checking each other, or filling different roles like planner and reviewer.
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
  • attention — The mechanism that lets a model weigh which earlier words matter for the word it's currently processing — the core operation of a transformer.
Why it matters

Reframes orchestration as a strategy-game interface, arguing the bottleneck to running agent armies is human steering capacity rather than model capability, with a concrete visibility/autonomy/collaboration model.

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