DSPy

Stanford NLP's "programming, not prompting" framework (36K★) — declarative LM pipelines with automatic prompt/ weight optimization; the dominant open LM-pipeline toolkit. Originated by Omar Khattab (2023); flagship development continued through the window. Sibling interpretability stack: pyvene/pyreft (ReFT) and AxBench, which showed simple steering baselines beat SAEs.