flâneur — a map of the web's best reading

Optimizing GEPA for production: A test-driven approach to prompt engineering | Decagon

decagon.ai · 2,096 words · saved by 1 readers

GEPA is a gradient-free optimizer that uses natural language reflection rather than policy gradients to adapt prompts.

Optimizing GEPA for production: A test-driven approach to prompt engineering | Decagon Introducing Duet Autopilot. Learn more Industries Customers Resources Company Sign in Get a demo Sign in Get a demo Research & Technology Optimizing GEPA for production: A test-driven approach to prompt engineering Posted on March 25, 2026 Roy Wang Member of Technical Staff, Research Article Table of contents Introduction What is an Agent Engineer? Subscribe to our Newsletter Get monthly updates with our latest articles, podcasts, videos, and more. Must be a valid company email (i.e. example@companydomain.co

Explore this link on the map →

saved by

related reading