# Agent Evaluation Pipelines with Continuous Improvement and Regression Testing...
Canonical: https://social-archive.org/yena/BTsP6TShEQ
Original URL: https://x.com/AiCamila_/status/2072355792586703191
Author: Camila
Platform: x
## Content
Agent Evaluation Pipelines with Continuous Improvement and Regression Testing One-time evaluations are not enough. Agent Evaluation Pipelines with Continuous Improvement combine automated testing, regression detection, golden datasets, and feedback loops to continuously measure agent performance, catch regressions early, and drive ongoing improvements in quality, cost, and reliability. This is how you maintain high-performing agents in production over time. As a dev, I now treat agent evaluation as a continuous pipeline, not a one-time event. Continuous Evaluation & Improvement Cheatsheet: • Maintain golden datasets + edge cases for regression testing • Run automated evaluations on every prompt/model/tool change • Track key metrics: task success, reasoning quality, cost, latency • Add feedback loops from production to improve prompts and routing • Use dashboards to visualize trends and regressions • Pro tip: Start with automated regression testing on critical workflows How are you evaluating and improving your agents continuously? Reply below 👇 Follow @AiCamila_ for practical AI engineering patterns. #AgentEvaluation #ContinuousImprovement #AgenticAI #DevOps