LLM Agent Builds Complete Godot 4 Dungeon Crawler Using Visual Feedback
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.
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
👀 See Also
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Claude Code Session Dashboard: Open Source Tool for Monitoring Multiple Sessions
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ai-codex: Pre-index your codebase to save Claude tokens
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