Why we use rust
Structify Loves Rust: Why We Chose Rust to Power Our AI Agents
At Structify, our mission is to transform unstructured data into meaningful, actionable insights. To do this, we rely heavily on AI agents—thousands of them, running simultaneously, each tasked with solving complex problems and delivering results in real time. But with such a dynamic and unpredictable element at the core of our platform, we needed to ensure that the infrastructure supporting these agents was rock solid. This is why we turned to Rust as a foundational language in our stack.
Why Rust?
Rust guarantees us the reliability, speed, and concurrency needed to support our AI agent-driven platform, ensuring that while the agents themselves may be unpredictable by nature, the underlying system is bulletproof.
1. From Prototype to Real Product: Building Our Own Agent Framework
When we first started developing our agent-based system, we relied on Python and popular frameworks like LangChain. This approach allowed us to rapidly prototype, but as we scaled, it became clear that the status quo wasn’t going to cut it for a real product. We needed something faster, more reliable, and infinitely scalable.
That’s when we made the switch to Rust, building our own AI agent framework from the ground up. This framework has enabled us to deploy thousands of agents simultaneously, with each one performing in an optimized, predictable way. By choosing Rust, we gained complete control over how our agents operate, ensuring that we could scale without sacrificing performance or reliability.
2. Reliability: A Stable Platform for Unpredictable Agents
AI agents are, by their very nature, unpredictable. They may take various actions, explore different strategies, and deal with unstructured data in ways that are difficult to predict. What we couldn’t afford, however, was unreliability in the system they run on. This is where Rust’s compiler-time guarantees come into play.
Rust’s strict compile-time checks catch bugs before they even have a chance to make it into production. By enforcing safe memory access and preventing data races, Rust ensures that our infrastructure remains stable and reliable, even when thousands of agents are working concurrently. With Rust, we’ve reduced runtime errors, enabling us to confidently scale our platform.
3. Concurrency: Supporting Thousands of Agents at Once
At Structify, it’s not uncommon for us to spawn thousands of AI agents at the same time, all of which must run in parallel without stepping on each other’s toes. These agents need to access data, process requests, and deliver insights in real time, which puts massive pressure on our system’s concurrency capabilities.
Rust’s fearless concurrency model allows us to manage this with ease. With its ownership system, Rust enables us to run these agents concurrently without the risk of deadlocks or race conditions. This perfect concurrency ensures that no matter how many agents we run simultaneously, our system remains performant and responsive.
In fact, Rust’s concurrency has become one of the biggest enablers of our agent-based architecture. It allows us to scale seamlessly, providing the backbone for the complex, real-time processing our agents need to function.
4. Speed to Power Real-Time AI Decisions
In the world of AI agents, speed is crucial. Each agent is tasked with processing unstructured data and delivering insights in real time, and delays in this process can lead to missed opportunities. Rust’s low-level performance ensures that our agents operate at top speed, transforming data and making decisions with minimal overhead.
Unlike higher-level languages, Rust gives us fine control over memory and processing, allowing us to optimize for both speed and efficiency. This means that we can run more agents, process more data, and make decisions faster than ever before. Rust’s speed powers our ability to deliver real-time insights, making it indispensable to Structify’s mission.
5. Compiler-Time Guarantees: Iterate Faster with Confidence
One of the biggest advantages of Rust is its compiler-time guarantees. Rust catches bugs at compile time rather than at runtime, allowing us to iterate faster and with more confidence. This feature is particularly important for us, as we continuously refine our AI agents and data pipeline.
By identifying and addressing issues early in the development process, we’ve been able to iterate faster, reduce downtime, and focus more on improving our agents rather than troubleshooting infrastructure problems. Rust has transformed our development cycle, making it easier and faster to introduce new features and improvements to our AI agents.
6. Rust-Powered Data Pipeline
To support the sheer volume of data our AI agents process, we needed a data pipeline that was fast, reliable, and able to handle enormous amounts of information every day. That’s why we chose Rust for our entire data pipeline. Every night, our pipeline processes hundreds of thousands of samples, ensuring they are correct and optimized for the next wave of agent tasks.
Because Rust allows us to have fast guarantees about the accuracy and performance of our pipeline, we can confidently feed our agents the data they need to succeed. This pipeline is the backbone of Structify’s operations, ensuring that our agents always have the most up-to-date and accurate data to work with.
Rust: The Future of Structify’s AI Agents
For Structify, Rust isn’t just a language—it’s the engine that powers the future of our AI agent-driven platform. Its reliability, speed, and concurrency enable us to scale our operations, ensuring that our agents can function at their best, even as we spawn thousands of them simultaneously. Rust gives us the confidence to push boundaries and innovate without worrying about the underlying infrastructure.
As we continue to grow and evolve, Rust will remain central to everything we do at Structify, powering the next generation of AI agents and helping us deliver even greater insights from unstructured data.
Stay tuned for more updates—Structify is just getting started!