CI/CD with Gerrit, AI-Enhanced Review, and Hardware-in-the-Loop Testing in Jenkins Pipelines This presentation will explore advanced Continuous Integration (CI) strategies essential for open-source embedded systems development, moving beyond standard software testing to encompass physical hardware validation. We will begin by establishing the necessity of integrating rigorous unit and integration testing directly into the development workflow, demonstrating how to effectively define these steps within Jenkins Declarative Pipelines (DSL). The core of our approach involves deep integration with Gerrit Code Review, ensuring that tests and static analysis are triggered automatically upon every patch set creation, providing fast feedback to developers. A significant portion of the talk will focus on achieving true end-to-end validation through Hardware-in-the-Loop (HIL) testing. We will detail the implementation of Labgrid, an open-source tool used to manage and control remote hardware resources (such as embedded boards and IoT devices). This integration allows the Jenkins pipeline to reserve, provision, and execute automated, system-level tests directly on physical target devices before firmware changes are merged. Furthermore, we will introduce two critical elements for pipeline stability and code quality. Firstly, we will demonstrate the utility of an AI-Powered Error Explanation component (e.g., via the Explain Error Plugin). This feature leverages large language models to analyze complex Jenkins log files and pipeline failures, translating cryptic errors into human-readable insights and suggested fixes, which dramatically cuts down debugging time. Secondly, we will showcase the Warnings Next Generation (Warning-NG) Plugin, which serves as a central aggregator, collecting and visualizing issues and potential vulnerabilities reported by various static analysis tools, thereby enforcing strict, quantifiable quality gates within the CI process. Attendees will gain practical, cutting-edge insights into implementing a robust, AI and hardware-enhanced CI/CD workflow suitable for modern open-source projects.