The future of AI agents is test-driven | Decagon

This post introduces Decagon's integrated testing infrastructure for AI agents built on Agent Operating Procedures (AOPs). It details the capabilities of this testing suite, including real-time previews, unit tests for response validation, integration tests for tool triggering and data retrieval, and large-scale simulations. The post emphasizes the importance of test-driven development for ensuring predictability, consistency, and reliability in AI agent behavior, especially when dealing with non-deterministic LLMs. It also highlights the auditable execution paths provided by AOPs for debugging and verification.