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Learn more about the Agent Development Kit → https://google.github.io/adk-docs/
You’ve seen impressive AI agent demos, but what is the playbook for taking a simple proof-of-concept to an enterprise-grade agent that your business can actually rely on? In this video, we’ll show you how to build, deploy, and monitor a robust, scalable, and secure multi-agent application from scratch using Google’s Agent Development Kit (ADK).
Join Sita and Ayo as they walk you through building a complete AI Code Review Assistant. You will learn how to orchestrate specialized multi-agent systems, manage shared context with session states and persistent memory, deploy your agent as a scalable service to Vertex AI Agent Engine, and debug execution using Cloud Trace.
Chapters:
0:00 – Introduction
1:38 – Code Review Assistant Architecture
3:12 – ADK Concepts: Sessions, Memory, & Artifacts
4:56 – Agent Deployment Options
5:49 – Observability with Cloud Trace
6:29 – Chapter 1: Intro & Learning Objectives
6:49 – Chapter 2: Your First Agent Deployment
11:18 – Chapter 3: Preparing Your Workspace
14:26 – Chapter 4: Building Your First Agent
18:38 – Chapter 5: Sequential Agent Pipeline (Review)
28:36 – Chapter 6: Loop Agent Pipeline (Fix)
37:24 – Chapter 7: Deploying to Production
41:49 – Chapter 8: Observability
42:55 – Eng Talk: Community questions
44:46 – Outro & next steps
Resources:
Codelab → https://goo.gle/adk-code-reviewer-assistant-lab
ADK Samples GitHub repo → https://goo.gle/4uVtmSR
More videos on ADK → https://goo.gle/4uUiEfp
#AIAgents #ADK #GoogleCloud #VertexAI #MultiAgentSystems #ProductionAI #observability
Subscribe to Google For Developers → https://goo.gle/developers
Products Mentioned: ADK, Agent Development Kit, Google AI Read More Google for Developers
