开发者借助 Claude 的协助，用 Rust 语言构建了一款自主运行的太空经济模拟系统 1。该项目初期采用 Elixir/Phoenix 框架开发，但因在 Windows 平台遭遇性能瓶颈，随后由 Claude 协助重写为 Rust 引擎 1。
模拟器内包含数百个自主船舶，运用 GOAP 规划器驱动船舶的人工智能决策 1。系统还整合了动态市场定价、派系税收和人口迁移等复杂机制 1。
在性能表现上，该系统目前可支持约 485 个代理运行，单个 tick 的中位延迟约为 10-20 毫秒 1。项目采用单一原生二进制文件形式发布，内置 SQLite 数据库，无需额外运行时依赖 1。
开发者规划将系统扩展至支持 10 万个以上的代理 1。
A developer has created a self-running space economy simulation featuring hundreds of autonomous vessels, dynamic market pricing, faction taxation, and population migration systems 1. The project was initially developed using Elixir and Phoenix but was rewritten into a Rust engine with Claude's assistance to overcome Windows performance issues 1.
The simulator employs a GOAP (Goal-Oriented Action Planning) system to drive artificial intelligence decision-making for spacecraft 1. The current implementation supports approximately 485 agents operating with a median latency of 10-20 milliseconds per tick 1. The architecture is designed as a single native binary that includes SQLite and requires no additional runtime dependencies 1.
The developer has ambitious scaling goals, with plans to extend the system to support over 100,000 agents 1. Claude served as a development assistant throughout the project 1.
评论
还没有评论，欢迎留下第一条。