DSPy: Programming and Optimizing LLM Workflows with Systems Mindsets
An episode of the Build Wiz AI Show podcast, hosted by Build Wiz AI, titled "DSPy: Programming and Optimizing LLM Workflows with Systems Mindsets" was published on January 10, 2026 and runs 12 minutes.
January 10, 2026 ·12m · Build Wiz AI Show
Summary
This episode explores DSPy, a declarative framework that enables developers to build modular software by treating Large Language Models as first-class citizens within a proper Python program. We discuss how core primitives like signatures and modules allow for the decomposition of logic into composable systems that remain robust despite model or paradigm shifts. Finally, we dive into the power of DSPy optimizers, which iteratively refine prompts and metrics to improve performance, often rivaling or exceeding traditional fine-tuning methods.
Episode Description
This episode explores DSPy, a declarative framework that enables developers to build modular software by treating Large Language Models as first-class citizens within a proper Python program. We discuss how core primitives like signatures and modules allow for the decomposition of logic into composable systems that remain robust despite model or paradigm shifts. Finally, we dive into the power of DSPy optimizers, which iteratively refine prompts and metrics to improve performance, often rivaling or exceeding traditional fine-tuning methods.
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