Room: Salon J What if your CI/CD pipelines could fix themselves? What if they understood why a deployment failed, rolled back safely, and then proposed the correct fix? Join us for a hands-on technical session showcasing how JFrog Artifactory, Dagger’s portable pipelines, and an LLM-powered AI agent combine to create an intelligent, adaptive platform for shipping software fast, safely, and globally. We’ll walk through a live scenario such as: - An app build fails in CI. - An AI agent (backed by a local LLM) inspects the failure, correlates logs, build metadata, and deployment artifacts. - It proposes a fix in code (using Dagger Functions), regenerates the pipeline on the fly, and pushes the corrected artifact to JFrog. You’ll leave with a blueprint for building your own self-healing pipeline systems using the best of artifact management, containerized pipeline portability, and developer-first AI.