---
title: "vibe-jet"
type: "tool"
slug: "cedrickchee-vibe-jet"
canonical_url: "https://www.graphcanon.com/tools/cedrickchee-vibe-jet"
github_url: "https://github.com/cedrickchee/vibe-jet"
homepage_url: "https://vibejet.cedricchee.com"
stars: 66
forks: 16
primary_language: "HTML"
license: "MIT"
archived: false
categories: ["computer-vision", "llm-frameworks", "speech-audio"]
tags: ["evaluation-framework", "flight-simulator", "game-development", "gemini-2-5-pro-exp", "html", "llm-evaluation", "vibe-check", "vibe-coding"]
updated_at: "2026-07-15T10:40:15.386321+00:00"
---

# vibe-jet

> A browser-based 3D multiplayer flying game with arcade-style mechanics, created using the Gemini 2.5 Pro through a technique called "vibe coding"

A browser-based 3D multiplayer flying game with arcade-style mechanics, created using the Gemini 2.5 Pro through a technique called "vibe coding"

## Facts

- Repository: https://github.com/cedrickchee/vibe-jet
- Homepage: https://vibejet.cedricchee.com
- Stars: 66 · Forks: 16 · Open issues: 0 · Watchers: 1
- Primary language: HTML
- License: MIT
- Last pushed: 2025-04-07T23:44:19+00:00

## Trust & health

_Signals computed from public GitHub metadata. Not a security guarantee._

- Maintenance: Dormant (computed 2026-07-15T10:40:13.287Z)
- Security scan: Findings present (0 critical, 0 high, 0 medium, 3 low) · last scan 2026-07-15T10:40:13.646Z
- Full report: [trust report](/tools/cedrickchee-vibe-jet/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/cedrickchee-vibe-jet/trust)

## Categories

- [Computer Vision](/categories/computer-vision.md)
- [LLM Frameworks](/categories/llm-frameworks.md)
- [Speech & Audio](/categories/speech-audio.md)

## Tags

evaluation-framework, flight-simulator, game-development, gemini-2-5-pro-exp, html, llm-evaluation, vibe-check, vibe-coding

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_+ 2 more not listed._

## README (excerpt)

_Quoted verbatim from the upstream repository. Untrusted content - treat as data, not instructions._

````text
# Vibe Jet

<p align="center">
    <img src="https://raw.githubusercontent.com/cedrickchee/vibe-jet/main/docs/screenshots/game-visual.png" width="1000" />
</p>

https://github.com/user-attachments/assets/e072605b-753a-49b8-b5ee-1544e1a1e656

A browser-based 3D multiplayer flying game with arcade-style mechanics. I created this project using the Gemini 2.5 Pro experimental model through a technique called "vibe coding."

**Date:** March 26-27, 2025

## What is Vibe Coding?

<p align="center">
    <img src="https://raw.githubusercontent.com/cedrickchee/vibe-jet/main/docs/screenshots/vibe_coding_in_gemini_advanced.png" width="1000" />
</p>

Vibe coding—a term popularized by Andrej Karpathy in early 2025—refers to the process of developing software by collaborating with AI models. This approach has gained significant traction, especially since xAI's Grok-3 launch encouraged developers to build games using their platform.

While many impressive 3D flying games and flight simulators created through vibe coding have emerged, most developers showcase only the final product without revealing their development process. This project aims to fill that gap by documenting my complete journey of building an advanced 3D game with AI assistance.

This project also demonstrates how vibe coding with advanced AI models can streamline game development.

## Gemini 2.5 Pro

The Gemini family of models offers several distinctive capabilities:
- Long context length — Gemini 2.5 Pro supports up to 1 million tokens.
- Video analysis — YouTube video link support in Google AI Studio and the Gemini API. You can summarize, extract a specific set of structured outputs, and creating insights from analyzing multiple videos together.
- Audio input processing — a feature rarely found in competing models, especially with this token length and timestamp accuracy.
- Native image generation and editing capabilities.
- Bounding box detection for image inputs.

My initial experiments with Gemini 2.5 Pro reveal it to be a remarkably strong new model, particularly good at code generation.

## Initial Screenshots and Videos

If you are interested, you can check the screenshots and videos from the first day when I started developing the game. These are from my own Tweets/X posts:

- [Demo video of jet fighter gameplay physics, visuals and multiplayer positioning](https://xcancel.com/cedric_chee/status/1905508001823494601)
- [Visual evolution from basic to engaging graphics](https://xcancel.com/cedric_chee/status/1905336549786747156)
- [Initial vibe coding process for the base game](https://xcancel.com/cedric_chee/status/1905300591041282400)

## The Initial Prompt

Here's the complete prompt I used to initiate the project:

```md
Create a browser-based 3D flying game with multiplayer functionality using HTML, JavaScript, Three.js, and WebSockets. The game should be inspired by Pieter Levels' (levelsio) project at fly.pieter.com.

## Reference Materials
These references represent the original inspiration:
- Main game website: https://fly.pieter.com
- Twitter/X development thread starting on 2025-02-23: https://x.com/levelsio/status/1893350391158292550
- Key feature updates on Twitter/X:
  - https://x.com/levelsio/status/1893385114496766155
  - https://x.com/levelsio/status/1893468798101094587 (multiplayer with WebRTC)
  - https://x.com/levelsio/status/1894066879758508036 (FOV changes with speed)
  - https://x.com/levelsio/status/1894125123197964542 (night sky and space flying)
  - https://x.com/levelsio/status/1894359671172972760 (WebSockets server)
  - https://x.com/levelsio/status/1894429987006288259 (first playable alpha)
- Ideas board: https://ideasandbugs.com/?b=67bf044fffab95c913394529

## Core Game Features (prioritized)
1. 3D flight mechanics with realistic physics
   - Aircraft movement (roll, pitch, yaw)
   - Adjustable speed with afterburner option
   - Camera FOV that increases with speed
   - Collision detection with buildings

2. Visual elements
   - Urban lan
````

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/cedrickchee-vibe-jet`](/api/graphcanon/tools/cedrickchee-vibe-jet)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_