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].