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Build a Multi-Agent AI System With Rust
Learn how to use Rust, Tokio, and LLM-powered agents to build a concurrent AI system with a central orchestrator, shared state, and specialized responsibilities.
Imagine giving an AI system a software development task:
“Build a REST API for managing user accounts, add validation, write tests, and review the implementation.”
A single AI assistant could attempt everything. It would need to understand the requirements, research the design, write the code, run tests, identify bugs, and review its own implementation.
But what if we divided that work between specialized AI agents?
One agent researches the requirements. Another implements the solution. A testing agent checks the behavior. A reviewer examines the code for bugs, security problems, and maintainability.
A central orchestrator coordinates the entire process.
This is the idea behind a multi-agent AI system.
Rust is an interesting language for building this architecture because it offers asynchronous execution, strong type safety, predictable resource management, and concurrency primitives. With Tokio, developers can run multiple agent tasks…
