190,000 Star Systems and a Million Planets: How I'm Building GalaxyAtlas with AI Agents

说明与用途

GalaxyAtlas 是一个基于浏览器的 3D 银河，拥有 190,000 个星系和 1,000,000 个程序生成的行星，使用 AI 模型构建并针对普通电脑进行了优化。

问题

Developing a large‑scale, browser‑based 3D galaxy with realistic procedural planets while keeping performance acceptable on ordinary computers.

结果

GalaxyAtlas demonstrates that a complex, procedurally generated galaxy can be built and maintained using AI‑driven engineering, achieving a playable experience entirely within a web browser.

工作流

• 1. Validate concept with GPT Sites to create a quick prototype using HYG catalog data.
• 2. Expand prototype to include procedural galaxy generation (disk radius 15.3 kpc, pitch angle 13°, bar orientation 27°).
• 3. Implement lazy generation, LOD, resource reuse, and scene‑based resource release to keep GPU memory and draw calls low.
• 4. Use deterministic seed‑based procedural generation for planets and environments to allow repeatable exploration.
• 5. Integrate Three.js for rendering, applying atmospheric effects, fog, particles, and lighting while monitoring performance.
• 6. Iterate with AI models (GPT‑6 Astra) to generate code, fix bugs, and refine architecture.
• 7. Publish the final product as a browser link without a separate client.

证据

I managed to build a browser‑based atlas using data on more than 109,000 real stars from the HYG catalog and a procedural model of the galaxy.

来源

GalaxyAtlas runs entirely in the browser, displays ~190,000 star systems, allows navigation, landing, and exploration of procedurally generated planets, and uses AI‑driven development to manage complexity.

来源

Three.js became the foundation of GalaxyAtlas's 3D rendering.

来源