Overcoming Challenges: Why AI Agent Simulations Outperform Direct Testing

The discussion highlights challenges in testing AI agents, which are becoming increasingly popular despite a lack of effective testing methodologies. Many teams rely on manual conversation walkthroughs or basic evaluations, but these methods fail to scale. The crux of the issue lies in the fact that AI agents function differently than traditional software—they are decision-making entities that adapt and reason rather than just execute predefined functions. To address this, the company’s CTO, Rogerio, has proposed a new approach to testing: using agent simulations instead of rigid, hardcoded flows, which act as unit tests for AI systems. They developed a tool called LangWatch to enable teams to simulate real-world agent behavior and identify issues early. The content encourages dialogue, inviting feedback from others who have faced similar testing challenges or developed their own simulation solutions. Additionally, it concludes with a note about applying for Y Combinator’s Fall 2025 batch.

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