DSPy 3 in 2026: Compile Prompts That Beat Hand-Tuning
Learn DSPy 3 in this hands-on tutorial: compile prompts with optimizers instead of hand-tuning strings, and keep accuracy when models change.
Chapter 1: Why Hand-Written Prompts Break: The Case for Compiling Prompts Every LLM application starts the same way. You open a file, type a triple-quoted string, and write something like "You are an expert customer support agent. Analyze the following ticket and classify it as billing, technical, or account. Think step by step. Return only the category." You run it against a dozen tickets, tweak the wording, add "Be concise," add "Do not explain your reasoning," add three examples you hand-picked from your logs. Accuracy climbs from 71% to 84%. You ship it. Six weeks later the provider deprecates the...