r/ClaudeAI

GTA 6 first attempt. Far from perfect, but it's impressive what the right harness and agentic loops can build.

2026-08-03 · 08:46 UTC ·u/smith2008 ·1 min read

Brief

u/smith2008 reports an experiment (2026-08-03) using Matt Shumer's Gauntlet Loop: after a single-prompt Worms Armageddon demo, they attempted to generate a GTA 6 prototype. Early runs failed (stalled at a simple 3D world), but iterative agentic loops produced a rough prototype after 22 hours and 86 agents. They found frame extraction insufficient and prefer exporting structured JSON game-state for debugging, and plan harness improvements and a switch from Three.js to Babylon.js while soliciting community ideas.

Why it matters

On 2026-08-03 u/smith2008 used Matt Shumer's Gauntlet Loop to reproduce a Worms Armageddon demo from a single prompt, then attempted a far more ambitious GTA 6 prototype; the first GTA 6 run stalled after producing only a basic 3D world but later evolved into a rough prototype after more loops.

Key details

  • The experiment required 22 hours and orchestrated 86 agents to reach the current prototype; Claude Code struggled to interpret gameplay video natively so the author extracts frames for reasoning, but found exporting structured JSON describing game state gives far better debugging signals.
  • Planned improvements include enhancing the harness and migrating rendering from Three.js to Babylon.js; the author invited ideas and collaboration from the r/ClaudeAI community but no comment thread content was provided in the post.
Source evidence

I was experimenting with Matt Shumer's Gauntlet Loop and shared a quick demo of an old favorite game, Worms Armageddon, the other day. It was built from a single prompt that kicked off the entire loop.
There's not much point in polishing or fixing it, though, since there are already excellent browser ports of the original. So I wanted to try something far more ambitious: GTA 6.
The first attempt failed spectacularly. It got stuck after generating little more than a basic 3D world. But after several additional loops and workflows, it eventually evolved into the very rough prototype you see in the video.
I think this can be pushed much further. With a better feedback loop, I believe something like this could eventually be built from a single prompt and produce significantly better results.
The key seems to be giving the agent much richer debugging information. Claude Code can't natively understand gameplay videos, so it extracts frames and reasons over those. That's somewhat useful, but exporting structured JSON describing the game state works far better because it can directly understand what's happening in the world.
So far, it has taken 22 hours and 86 agents to get here.
I'll keep pushing this experiment. I'm also considering improving the harness and migrating from pure Three.js to Babylon.js.
If you've been experimenting with similar agentic loops, or have ideas on how to push this further, I'd love to hear them.

Link: https://v.redd.it/ri3dy0ksh4hh1

Subreddit: r/ClaudeAI