Building LLM Applications with DSPy

Building LLM Applications with DSPy

Replacing manual prompts with systematic optimization

Replace hand-written prompts with DSPy's code-based, automatically-optimized approach.

About the book

Manning's September 2026 guide shows how DSPy replaces fragile text prompts with dynamic, contract-based Python code that automatically adapts to model drift. Includes practical projects: classification systems, summarizers, RAG applications, and multi-step agentic workflows all without manual prompt engineering.

Summary

Summary coming soon!