Vibe coding and context engineering with ADK

From the creator

Go from an empty folder to a fully deployed AI agent using only natural language. This video introduces "vibe coding," a powerful technique to build applications from scratch using the Gemini CLI. Follow along with Sita and Amit as they demonstrate how to scaffold a new AI agent with the Agent Development Kit (ADK) in plain English. You'll then learn "Context Engineering," the secret sauce for moving your agent from a prototype to production. See how to provide documentation, coding standards, and feature requirements to guide the AI in generating high-quality, maintainable code. Finally, watch as they deploy the entire agent to Google Cloud Run with a single command. Stick around for the "Eng Talk" segment, where Amit and Sita answer top community questions: - Is RAG obsolete with million-token context windows? - How do you manage context overload? - What metrics should you use to track context retrieval? - What are the best tips for token optimization? Chapters: 0:00 - Introduction 0:34 - Core Concepts 3:39 - Setting up Gemini CLI in VS Code 5:05 - Loading ADK Documentation for the Agent 7:03 - Vibe coding an Expense Tracker from Scratch 11:36 - Refactoring Code into Tools and Models 16:10 - Debugging Python code with Gemini CLI 25:15 - Why You Need Context Engineering 26:36 - Creating Context Files: Gemini.md, PRD, & Summary 32:02 - Building Advanced Features with Context Engineering 35:52 - Preparing for Cloud Run Deployment (Docker & Server) 37:44 - One-Command Deplo

Published 2025-11-26 · Watch on YouTube ↗
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