Why We Built RunPiper in Rust
When we started building RunPiper, we knew we needed a language that could deliver on our promise of production-grade performance and reliability. After evaluating several options, Rust emerged as the clear winner.
The Performance Advantage
Rust gives us zero-cost abstractions and predictable performance characteristics. Here’s what that means in practice:
| Metric | RunPiper (Rust) | Alternative (Go) | Alternative (Python) |
|---|---|---|---|
| Cold Start | < 1ms | ~5ms | ~50ms |
| Memory Usage | 15 MB | 45 MB | 150 MB |
| Throughput | 100k req/s | 50k req/s | 5k req/s |
Memory Safety Without Garbage Collection
Rust’s ownership model ensures memory safety at compile time, eliminating entire classes of bugs:
- No data races
- No null pointer exceptions
- No use-after-free errors
All without the unpredictable pauses that come with garbage collection.
Fearless Concurrency
Running thousands of concurrent agents requires rock-solid concurrency primitives. Rust’s type system catches concurrency bugs at compile time:
// This won't compile if there's a data race
async fn process_agents(agents: Vec<Agent>) {
let tasks: Vec<_> = agents
.into_iter()
.map(|agent| tokio::spawn(agent.run()))
.collect();
for task in tasks {
task.await.unwrap();
}
}
The Bottom Line
Rust allows us to deliver on our promise: production-grade performance and reliability for AI agent workloads. No compromises.
Want to experience it yourself? Get started with RunPiper today.