LLM Agent Builds Complete Godot 4 Dungeon Crawler Using Visual Feedback

✍️ OpenClawRadar📅 Published: March 16, 2026🔗 Source
LLM Agent Builds Complete Godot 4 Dungeon Crawler Using Visual Feedback
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A developer demonstrated an LLM agent autonomously building a complete dungeon crawler game in Godot 4 using visual feedback. The agent was connected to the Godot editor via an MCP tool the developer is building.

What the Agent Built

With a single prompt to "build a dungeon crawler FPS using Kenney's dungeon kit," the agent created:

  • 3 rooms connected by corridors
  • Atmospheric torch lighting with particles
  • FPS controls with head bob
  • Sword combat system
  • 4 enemy types with pathfinding
  • Wave-based enemy spawning system
  • Loot drops
  • XP progression mechanics
  • Game over screen

Key Technical Details

The project consisted of approximately:

  • 300 nodes
  • 11 scripts
  • 1500 lines of GDScript

The game ran successfully on the first F5 execution, producing a playable prototype.

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Visual Feedback Loop

The significant aspect wasn't just code generation—any LLM can write code. What made this different was the agent's ability to:

  • Run the game and take screenshots
  • Visually identify problems and fix them
  • Notice torch particles were too bright for the fog and adjust the environment
  • See orcs clipping through walls and tweak navigation settings
  • Check chest UI layout visually for proper positioning

This approach represents a shift from pure code generation to integrated development where the agent can test and iterate based on actual game output.

📖 Read the full source: r/LocalLLaMA

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👀 See Also

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