June 4, 2026 · 8 min read
5 Bad Reasons Teams Avoid DSPy
Developing LLM prompt-based tasks? DSPy can help you build systems that are easier to test, improve, and trust.
by Serj Smorodinsky
Applied AI Research Team Lead · Author · Educator
I write and teach practical ways to evaluate, optimize, and ship reliable AI systems—so coding agents work inside systems we understand and control.
I lead an Applied AI Research team at ContentSquare, creating the culture and engineering environment teams need to win with data.
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June 4, 2026 · 8 min read
Developing LLM prompt-based tasks? DSPy can help you build systems that are easier to test, improve, and trust.
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An ML question of the week based on unsupervised clickstream clustering for user behavior analysis.
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Why DSPy is becoming the PyTorch for reliable prompt-based tasks in the agentic AI era.
Published by Manning
Replacing manual prompts with systematic optimization
A practical guide to defining, evaluating, and optimizing reliable LLM applications—with an open repository of code and examples.
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