2 guides covering common problems, patterns, and production issues in DSPy.
DSPy is a Stanford research framework that replaces hand-written prompts with programmatic LLM signatures. You define typed input/output contracts and DSPy automatically compiles and optimises the best prompts — eliminating prompt engineering as a manual craft.
Hand-written prompts are brittle. Change the model version, change the task slightly, or add a new requirement, and your carefully tuned prompt produces worse results. You tweak it. You test it. You t...
DSPy compilation (optimization) finds the best prompts, instructions, and few-shot examples for your program by running it repeatedly against a training dataset and scoring the outputs with your metri...
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