In support of our mission to accelerate the developer journey on Google Cloud, we built Dev Signal: a multi-agent system designed to transform raw community signals into reliable technical guidance by automating the path from discovery to expert creation. In part 1 and part 2 of this series, we established the essential groundwork by standardizing the core capabilities through the Model Context Protocol (MCP) and constructing a multi-agent architecture integrated with the Vertex AI memory bank to provide long-term intelligence and persistence. Now, we'll explore how to test your multi-agent system locally! If you'd like to dive straight into the code and explore it at your own pace, you can clone the repository here . Testing the Agent Locally Before transitioning your agentic system to Google Cloud Run, it is essential to ensure that its specialized components work seamlessly together on your workstation.…