Programming—not prompting—LMs
DSPy is an open-source declarative framework for building modular AI software and programming language models with Python modules, optimizers, and signatures instead of brittle prompt strings.
Nous Research released a self-evolution package for Hermes Agent that uses DSPy and GEPA to optimize skills, prompts, and code, and reported a phase-one score increase from 0.408 to 0.569 on one skill. Agent teams can study the repo for fallback model, memory, and self-improvement loop patterns.
