1. AI-Assisted Coding: A Practical Guide to Boosting Software Development with ChatGPT, GitHub Copilot, Ollama, Aider, and Beyond
Authored by renowned professionals Michael Kofler, Bernd Öggl, and Sebastian Springer, this book explores practical strategies to elevate your software development skills with AI tools. Packed with real-world scenarios, it vividly illustrates how AI can streamline coding processes and enhance productivity. Publishers like Rheinwerk Computing have ensured that readers not only understand the theory but also grasp its implementation. If you’re looking to harness AI in your coding practices, this book is indispensable.
2. AI-Assisted Programming: Better Planning, Coding, Testing, and Deployment
Tom Taulli presents a comprehensive guide that delves deeper into the programming lifecycle—covering planning, coding, testing, and deployment, with AI at its core. This book emphasizes how AI can optimize each stage, ultimately resulting in superior software quality. With practical examples, Taulli arms developers with insights to improve workflow efficiency and project management. This guide is perfect for developers wanting to integrate AI into their programming practices.
3. Learning GitHub Copilot: Multiplying Your Productivity With an AI Pair Programmer
In his latest work, Brent Laster details how GitHub Copilot revolutionizes the coding process by partnering with developers. The book focuses on making the most of this AI by highlighting various features and productivity hacks. Whether you are a novice looking to start or an experienced developer aiming to enhance your coding efficiency, this guide is a treasure trove of knowledge that will surely multiply your productivity.
4. GitHub Copilot: Code Smarter with AI
Taylor S. Alverton’s “GitHub Copilot” is an essential guide specifically tailored for beginners. The book introduces you to the features and setups of this innovative tool with a clear focus on real-world applications. It simplifies concepts and provides practical examples that will guide you through the coding process as you learn to code smarter, not harder. A foundational text for understanding and implementing AI in coding effectively.
5. AI-Assisted Programming for Web and Machine Learning
This collaboration by Christoffer Noring, Anjali Jain, and others focuses on two of the hottest areas in technology today: web development and machine learning. Not only does it discuss the unique advantages of AI-assisted programming, but it also walks you through ways to integrate these practices into your workflow. It is a must-read for any developer interested in enhancing their skills in these crucial domains.
6. Programming with GitHub Copilot: Write Better Code—Faster!
Kurt Dowswell and Ray Greenley present a powerful read that underlines the significance of using GitHub Copilot to write code efficiently. This book provides deep insights and innovative methods that will help any developer learn to write, debug, and deploy code more effectively. The practical advice and unique techniques shared will surely empower coders of all skill levels.
7. Learn AI-Assisted Python Programming: With GitHub Copilot and ChatGPT
For those looking to master Python with the help of AI, this book by Leo Porter and colleagues delivers a thorough curriculum that integrates GitHub Copilot and ChatGPT into the learning process. It does an outstanding job of merging simple explanations with practical application, ensuring even newcomers can confidently learn to program in Python while leveraging AI as their helper.
8. Mastering GitHub Copilot: AI-Powered Development for Modern Coding
PJP from Innoware urges readers to master their coding capabilities in this authoritative text on GitHub Copilot. The book deftly navigates the integration of AI tools into modern development practices, providing targeted advice for programmers looking to enhance their efficiency. With practical case studies, it’s a compelling read that exemplifies how AI can be applied in real-world situations.
9. Github Copilot For Developers: Smart Coding With AI Pair Programmer
In his informative text, Rob Botwright reveals how Github Copilot serves as a smart assistant for developers. This book provides insights into setting up and optimizing the workspace for pairing with this brilliant AI tool. The detailed approach allows developers to work smarter, enhancing both deployment and debugging processes while maintaining most of their creative coding power.
10. Generative AI for Software Development: Building Software Faster and More Effectively
Lastly, Sergio Pereira presents a ground-breaking exploration of generative AI in software development. This book engages with new methodologies that leverage AI technologies to enhance the software creation process. By discussing strategies for blending generative AI within development teams, Pereira sets the tone for a future where coding will be drastically transformed. A transformative read for any serious developer!
