Move from AI prototypes to dependable software by using Gemini and Antigravity to plan features, generate code, connect tools, test behavior, and run agent-powered apps in production Key Features Go beyond prompts with context, memory, tools, and multi-agent workflows Accelerate agentic development with Gemini CLI, Google Antigravity, and Figma MCP Prepare AI features for launch with evaluation, guardrails, and cost-aware operations Book DescriptionBuild AI applications that move from promising demos to dependable software. This book shows you how to use Gemini across the development lifecycle, from planning and scaffolding to testing, deployment, and monitoring. Agentic Coding with Google Gemini takes a hands-on, developer-first approach as you create an AI-powered travel assistant. You will structure prompts, manage context, design memory, connect live data, and use tool calling to make your agent act on real information instead of guesswork. As the project evolves, you will automate everyday coding tasks with Gemini CLI, use Google Antigravity for agentic development workflows where it adds value, connect Figma designs through MCP, build agents with ADK, expose flows with Genkit, and integrate Firebase services for authentication, storage, hosting, and deployment. You will also learn how to split responsibilities across multiple agents when a single agent becomes too complex. The final chapters help you prepare your system for real users with guardrails, structured outputs, prompt regression tests, automated evaluation, cost controls, Cloud Run deployment, observability, and production monitoring. By the end, you will be able to design, build, ship, and operate Gemini-powered applications using Antigravity and the broader Google AI development stack with confidence.What you will learn Engineer prompts, context, and memory for reliable AI apps Use Gemini CLI and Antigravity for practical agentic development workflows Convert Figma designs into production-ready web components Build agents with ADK, tools, sessions, and structured output Connect agents to APIs, MCP servers, and Google Search Coordinate specialist agents with shared context Apply guardrails, evaluations, and prompt regression tests Deploy and monitor apps with Genkit, Firebase, and Cloud Run Who this book is forIntermediate developers, software engineers, full-stack developers, frontend and backend developers, and AI application developers who want to build practical Gemini-powered applications and agentic systems using Google Antigravity and the broader Google AI ecosystem. Basic programming knowledge is required; examples use Python for agents and JavaScript/TypeScript for frontend integration, but deep proficiency in either language is not required.