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Advanced Vibe Coding with Python and AI: Build Intelligent Applications, AI Agents, RAG Systems, Automation Workflows, and Production-Ready Tools (The Vibe Coding with Python Series) (en Inglés)
J. Klat, Eric (Autor)
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Independently published
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Advanced Vibe Coding with Python and AI: Build Intelligent Applications, AI Agents, RAG Systems, Automation Workflows, and Production-Ready Tools (The Vibe Coding with Python Series) (en Inglés) - J. Klat, Eric
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Reseña del libro "Advanced Vibe Coding with Python and AI: Build Intelligent Applications, AI Agents, RAG Systems, Automation Workflows, and Production-Ready Tools (The Vibe Coding with Python Series) (en Inglés)"
You've learned how to use AI to help you write Python. Now it's time to build something more powerful. Advanced Vibe Coding with Python and AI takes the principles of AI-assisted development further, showing you how to move beyond simple scripts and experiments toward intelligent applications, automated workflows, AI agents, RAG systems, APIs, and more sophisticated Python projects. This book focuses on the practical skills required to turn an idea into a more complete and capable application. You'll learn how to use AI as a development partner while still understanding the architecture, logic, dependencies, data flows, security considerations, debugging processes, and design decisions behind what you build. Rather than treating AI-generated code as something to blindly copy and paste, you'll learn how to review, test, modify, debug, and improve AI-assisted solutions. You'll explore concepts and projects involving: Advanced AI-assisted Python development Building intelligent applications with modern AI APIs Designing AI-powered automation workflows Creating and working with AI agents Building Retrieval-Augmented Generation (RAG) systems Working with documents and knowledge bases Connecting applications to external APIs and services Creating conversational and context-aware applications Integrating multiple Python libraries and AI services Designing reusable application components Debugging and improving AI-generated code Managing configuration, credentials, and API keys Moving prototypes toward more reliable applications Testing and refining AI-assisted projects Deploying and hosting Python-based applications The emphasis throughout is on building, experimenting, understanding, and improving. You don't need to be a traditional software engineer to benefit from this approach. If you've completed the first book, experimented with Python and ChatGPT, or simply want to explore a faster and more flexible way to develop software, this volume will help you take the next step. By the end, you'll have a stronger understanding of how to combine Python, AI, APIs, automation, and modern application-development techniques to create increasingly capable software. Don't just ask AI to write code. Learn how to direct it, evaluate it, improve it, and use it to build systems that actually solve problems.
