A Capybara Game Built 100% by AI Just Won the $25K VibeJam Prize
Quick verdict
An iOS engineer built a 3D game called "A Game About Capybaras Delivering Food" in 15 days, claimed every line of code was written by AI, and won first place plus $25,000 at VibeJam 2026. It is a genuinely impressive solo build. It is also not a one-prompt miracle. The project ran on parallel Claude Code sessions, a stack of six or seven different AI tools, and 188 commits of hands-on direction. The headline is the prize. The useful part is the workflow.
What actually shipped
The game is a full 3D delivery sim built on Three.js, with roughly 27,000 lines of code across 188 commits. The developer says the code was 100% AI-written, driven mostly by Claude Code on Opus 4.7 using parallel sessions and a planning step before each feature. What stands out is how much custom tooling the model produced along the way, not just the game itself:
- An in-game map, terrain, and road editor
- A cutscene editor
- An iOS-style in-game phone UI
- A PS1-style texture pipeline
- A mission loop with stacked-item pseudo-physics
- Vehicle drifting and collision handling
- Localization
- A Cloudflare WebSocket multiplayer lobby relaying player state at about 10 Hz
No single model did all of it. Code came from Claude Code. Textures came from GPT Images-2 and Grok. 3D models came from Tripo3d. Audio came from Suno and ElevenLabs. The build was a relay across a handful of specialized AI tools, each doing the part it is best at.
| Detail | Value |
|---|---|
| Prize | $25,000 (first place, VibeJam 2026) |
| Build time | 15 days, solo |
| Lines of code | ~27,000 across 188 commits |
| Code written by AI | Claimed 100% |
| Primary coding tool | Claude Code (Opus 4.7), parallel sessions |
| Asset tools | GPT Images-2, Grok, Tripo3d, Suno, ElevenLabs |
The catch the comments caught
The Reddit reaction was warm but grounded. Two points came up repeatedly. First, the $25,000 came from a competition prize, not game revenue, so this is a contest win rather than a business. Second, and more to the point, the person driving the build was an experienced iOS engineer who knew how to scope a game, structure the work, and steer the model across 188 commits. The model wrote the code. The engineer decided what the code should be.
That mirrors the lesson from the other big vibe-coding story this month, the Bun rewrite from Zig to Rust: AI handled the volume, but a skilled human supplied the plan, the judgment, and the review. The capybara game is the same shape at a smaller scale. What made it work was not the model alone. It was a developer who could break a game into features an agent could actually finish.
Why it matters
The interesting signal here is not that AI can write a game. It is how many separate AI products it took to ship one. Coding, image textures, 3D models, music, and voice each came from a different tool, and the developer had to sign up for and pay for all of them. That is the real friction in AI-native building right now. The models are capable. The tool sprawl is exhausting.
For anyone trying to copy this, the practical takeaways are concrete. Plan before you prompt: the /plan step is what let parallel Claude sessions run without stepping on each other. Use the right tool for each asset rather than forcing one model to do everything. And expect to touch several subscriptions, which is exactly the problem that pushes people toward running multiple AI models from one place instead of juggling six logins and six invoices. Our guide to the best AI coding agents covers the coding side, and if you want the wider picture on this style of building, start with vibe coding in 2026.
The honest read: this is a talented engineer using AI as a force multiplier, not proof that anyone can prompt their way to $25,000. Copy the workflow discipline first. The prize is a lagging indicator of skill, not a starting point.
Video: building a game with Claude Code
A short walkthrough of the vibe-coding loop this kind of build relies on, using Claude Code to scaffold a playable web game.
FAQ
Was the game really 100% AI-written?
That is the developer's claim: all ~27,000 lines of code across 188 commits came from AI, mostly Claude Code on Opus 4.7. The direction and the review were human. So the code was AI-generated, but the project was human-led. Those are different things.
How much did it cost to build?
The developer did not publish a total, but the stack points to several paid tools running at once: a Claude Code plan, GPT Images-2, Grok, Tripo3d, Suno, and ElevenLabs. The $25,000 prize is a contest payout, not revenue, so treat the build cost as a real line item rather than free upside.
Can a non-developer reproduce this?
Partly. The tools are available to anyone, but the person behind this was a working iOS engineer who could structure a game and steer the model across dozens of features. The workflow is copyable. The engineering judgment that made it ship is not something a prompt supplies.
Which model should I use for a build like this?
Claude Code drove the code here, but "best" depends on the task, and asset work needs different tools than logic. That is why so many builders run several models side by side. See our best AI coding agents roundup and our best app for multiple AI models guide for the current options.
Sources
- r/ClaudeAI - "I just made $25K USD with my capybara game built entirely with Claude Code"
- r/vibecoding - developer thread on the VibeJam 2026 win
- A Game About Capybaras Delivering Food - the game itself
- VibeJam 2026 - games gallery
Further reading
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