
DSPy GEPA: Auto-Optimize AI Agent Prompts
K
Kodetra Technologies··4 min read Intermediate Summary
Use DSPy GEPA to auto-evolve prompts with reflection and beat hand-tuned baselines.
Why GEPA, and why now
Most teams still tune agent prompts by hand: tweak the wording, run the eval, squint at the failures, repeat. GEPA (Genetic-Pareto) automates that loop. It is a reflective optimizer in DSPy that reads your program's actual execution traces, reasons about what went wrong in plain language, and proposes better instructions automatically.
Keep reading — it's free
Enter your email to keep reading — plus the best of AI & tech, daily. Free, forever.
or
Already a member? Sign in
Comments
Subscribe to join the conversation...
Be the first to comment