DSPy
DSPy is a framework that allows you to program rather than write prompts for language models. It allows you to build modular AI systems and offers algorithms to optimize the weights of these systems with a prompt. It works with the semantic and self-developing Python (Declarative Self-improving Python) logic.
DSPy
100stanfordnlp · AI / LLM / RAG
Common commercial products in this category: ChatGPT, Claude, Gemini
- You build simple classifiers, advanced RAG pipeline or agent loops.
- You write Python codes to teach the language model to deliver high quality outputs.
- You quickly iterate by installing modular AI systems.
- • High number of open issues (739)
- • NeutralHacker News
If DSPy is so great, why isn't anyone using it?
“DSPy is cool from an integrated perspective but as someone who extensively develops agents, there have been two phases to the workflow that prevented me from adopting it: 1. Up until about six months ago, modifying prompts by hand and incorporating terminology with very specific…”
- • NeutralHacker News
If DSPy is so great, why isn't anyone using it?
“About one and a half years ago I was an early adopter of DSPy and I had better results (compared to LlamaIndex) with structuring unstructured data just by putting it in DSPy models, before any optimization step whatsoever. Also, IMO DSPy didn't take off because it requires…”
Verified against README · Oct 26, 2026 · source
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