Stop Parsing Strings: Treating LLMs Like Type-Safe Microservices

In 2026, “vibe coding” is a technical debt trap. Sending prompts into a black box and hoping for valid JSON is no longer an acceptable engineering standard. This session introduces a shift toward Deterministic AI Architecture, treating the LLM not as a chatbot, but as a strongly-typed microservice.

We will demonstrate how to move from “prompt engineering” to “schema engineering” using PydanticAI. We’ll cover the mechanics of structured outputs, constrained decoding, and the “Self-Healing” pattern. Finally, we’ll pull back the curtain on the “Latency Tax” and the “Reasoning Lobotomy” to show when structure helps—and when it actually hinders—your model’s intelligence.