How to Optimize LLM Pipeline Builds with DSPy

This article was originally written by Adrian Payong (AI Consultant and Technical Writer) and Shaoni Mukherjee (AI Technical Writer, DigitalOcean) Key takeaways DSPy turns LLM development into a programmable workflow by using signatures, modules, metrics, and optimizers instead of relying on manual prompt tweaking alone. It is especially useful for production-style pipelines that combine routing, retrieval, reasoning, tool use, structured output, and evaluation inside one maintaina...