Agents Don't Fail Like Normal Software: Why AI Agents Need Their Own Testing

Description and use

<h2> A new kind of failure </h2> <p>If you have shipped an AI agent, you have probably noticed that it fails differently from regular software. A normal function returns the same output for the same input, so a unit test can lock that behavior in. An agent is different:</p> <ul> <li>The same prompt can produce different outputs.</li> <li>Behavior can shift after a model upgrade or a framework change.</li> <li>Agents call tools, and a wrong tool call can have real consequences.</li> <li>Users, and attackers, can steer the conversation in ways you did not plan for.</li> </ul> <p>Passing a handfu

Problem

<h2> A new kind of failure </h2> <p>If you have shipped an AI agent, you have probably noticed that it fails differently from regular software. A normal function returns the same output for the same input, so a unit test can lock that behavior in. An agent is different:</p> <ul> <li>The same prompt can produce different outputs.</li> <li>Behavior can shift after a model upgrade or a framework change.</li> <li>Agents call tools, and a wrong tool call can have real consequences.</li> <li>Users, and attackers, can steer the conversation in ways you did not plan for.</li> </ul> <p>Passing a handfu

Outcome

<h2> A new kind of failure </h2> <p>If you have shipped an AI agent, you have probably noticed that it fails differently from regular software. A normal function returns the same output for the same input, so a unit test can lock that behavior in. An agent is different:</p> <ul> <li>The same prompt can produce different outputs.</li> <li>Behavior can shift after a model upgrade or a framework change.</li> <li>Agents call tools, and a wrong tool call can have real consequences.</li> <li>Users, and attackers, can steer the conversation in ways you did not plan for.</li> </ul> <p>Passing a handfu

Evidence

Agents Don't Fail Like Normal Software: Why AI Agents Need Their Own Testing

Source