Building an Agent Feedback Loop to Auto-Tune Game Difficulty via Headless Simulation
zimmer550king · reddit · 2026-10-11
Reddit user zimmer550king is building an automated difficulty-tuning pipeline: a headless simulation lets a coding agent run a game level with a seed, collect metrics, and adjust parameters without manually playtesting every build.
The author is asking for advice on two key issues:
- How to structure simulation output so the agent can consume it without drowning in logs
- What failure modes to expect, such as the agent overfitting to a single metric rather than actual player experience
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