With developers increasingly relying on AI Agents to write large portions of code, engineers face a growing challenge in reviewing these outputs, especially in complex distributed systems. The Hydro team, an open-source framework for distributed systems built in Rust, aims to address this gap by integrating software inspection mechanisms inside the compiler to detect errors that agents might commit.
Why traditional testing is not enough
Shadaj Ladad, research lead on the Hydro team, points out that AI agents tend to write code and its tests simultaneously, making it difficult for human reviewers to verify the accuracy of these tests. Often, features may work well in isolation, but fail when integrated into a larger system, leading to a breakdown of software guarantees.
The shift toward programming "guardrails"
Instead of relying entirely on tests written by the agent, the Hydro team focuses on enforcing strict rules outside the agent's "trust zone". Similar to how the borrow checker in Rust prevents race conditions before code runs, Hydro aims to apply similar checks for distributed systems. Recurring patterns, such as idempotency—ensuring that request execution is not repeated when resent after failure—are currently being explored to turn them into general guardrails that agents can adhere to.
Integration with the runtime environment
In parallel with these efforts, AWS recently launched Infinity, an open-source runtime for agents designed to suspend agent operations while waiting for tool responses or continuous integration (CI) tasks, significantly reducing resource consumption. This approach enables running massive numbers of agents with high efficiency.
What this means for developers
This trend represents an acknowledgement that the compiler must evolve to be the first line of defense against AI errors. Although Hydro is still in its early stages, it offers a model for how to build highly reliable distributed systems in the era of "agentic programming", where reliability is built into the language and tooling architecture rather than just being an additional testing layer.