Building Your Prompt-Driven Agentic AI Platform with VS Code

Synopsis

This comprehensive guide, 'Building Your Prompt-Driven Agentic AI Platform with VS Code,' by Vikram Singh Sankhala, is tailored for AI and Software Engineers, Data Scientists, and DevOps professionals eager to architect and deploy sophisticated, prompt-driven, multi-agent AI platforms. The book provides a meticulous, step-by-step development plan, leveraging Visual Studio Code as the primary IDE, to construct a custom, web-based personal IDE. It delves into modern frontend and backend frameworks, API integrations, and enterprise-grade security and observability, drawing inspiration from leading platforms like Langchain, Langflow, Autogen, CrewAI, and OpenAI Swarm. Readers will master prompt-driven workflow engineering, modular visual development, multi-agent orchestration, and seamless integration with best-of-breed AI APIs and tools. The core of the book focuses on empowering readers to build a robust, scalable, and secure agentic AI system. It covers everything from project initialization, setting up a monorepo, and configuring VS Code extensions, to developing a drag-and-drop workflow builder, implementing prompt panels, and integrating memory and chat functionalities. Advanced topics include backend orchestration engines, AI/prompt system integration for natural language control, robust security measures like RBAC, and comprehensive observability pipelines. The book concludes with essential testing, QA, CI/CD practices, and strategies for extensibility through a plugin system, ensuring readers can confidently create, customize, and manage powerful AI solutions for innovation and automation.