Ai Assisted Coding

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Ai Assisted Coding

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Author : Michael Kofler
language : en
Publisher:
Release Date : 2025

Ai Assisted Coding written by Michael Kofler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.

Ai Assisted Programming

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Author : Tom Taulli
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-04-10

Ai Assisted Programming written by Tom Taulli and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-10 with Computers categories.

Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, design, coding, debugging, testing, and documentation. With this book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs (ChatGPT, Gemini, and Claude) to code-specific systems (GitHub Copilot, Tabnine, Cursor, and Amazon CodeWhisperer). You'll also learn about more specialized generative AI tools for tasks such as text-to-image creation. Author Tom Taulli provides a methodology for modular programming that aligns effectively with the way prompts create AI-generated code. This guide also describes the best ways of using general purpose LLMs to learn a programming language, explain code, or convert code from one language to another. This book examines: The core capabilities of AI-based development tools Pros, cons, and use cases of popular systems such as GitHub Copilot and Amazon CodeWhisperer Ways to use ChatGPT, Gemini, Claude, and other generic LLMs for coding Using AI development tools for the software development lifecycle, including requirements, planning, coding, debugging, and testing Prompt engineering for development Using AI-assisted programming for tedious tasks like creating regular expressions, starter code, object-oriented programming classes, and GitHub Actions How to use AI-based low-code and no-code tools, such as to create professional UIs

Coding With Ai

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Author : Jeremy Morgan
language : en
Publisher: Manning
Release Date : 2025-10-28

Coding With Ai written by Jeremy Morgan and has been published by Manning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-28 with Computers categories.

Practical techniques to accelerate software development using generative AI. Let’s get real. You’d like to hand off a lot of tedious software development tasks to an assistant—and now you can! AI-powered coding tools like Copilot can accelerate research, design, code creation, testing, troubleshooting, documentation, refactoring and more. Coding with AI shows you how. Written for working developers, this book fast-tracks you to AI-powered productivity with bite-size projects, tested prompts, and techniques for getting the most out of AI. In Coding with AI you’ll learn how to: • Incorporate AI tools into your development workflow • Create pro-quality documentation and tests • Debug and refactor software efficiently • Create and organize reusable prompts Coding with AI takes you through several small Python projects with the help of AI tools, showing you exactly how to use AI to create and refine real software. This book skips the baby steps and goes straight to the techniques you’ll use on the job, every day. You’ll learn to sidestep AI inefficiencies like hallucination and identify the places where AI can save you the most time and effort. Unique tips, tricks, and prompt hacks ensure you’re getting the best out of AI. About the book Coding with AI is a deep dive into AI coding tools, quickly getting you up to speed with effective code generation in a professional development environment. You’ll benefit from author Jeremy Morgan’s clear-eyed developer-to-developer approach based on his real-world experience of AI coding. Hands-on Python projects demonstrate how you can use AI to organize prompts, create documentation, debug your software, and more. About the reader For professional software developers. Examples in Python. About the author Jeremy Morgan is on a mission to help developers get better at what they do. He's a Senior Training Architect for KodeKloud and an avid tech blogger and speaker. He has two decades of experience as an engineer building software for everything from Fortune 100 companies to tiny startups. Jeremy hosts the popular tech blog, www.jeremymorgan.com. He also contributes to open source as a .NET Foundation Member, DevOps Institute Ambassador, and serves on a DevNetwork advisory board. Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.

Ultimate Ai Assisted Development With Github Copilot

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Author : Shallabh Dixitt
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-08-11

Ultimate Ai Assisted Development With Github Copilot written by Shallabh Dixitt and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-11 with Computers categories.

TAGLINE Code smarter, Test faster, and Build better with GitHub Copilot! KEY FEATURES ● Master prompt engineering and multi-modal Copilot interactions. ● Use GitHub Copilot for real coding, testing, and DevOps tasks. ● Speed up development with AI-powered code and test generation. DESCRIPTION AI-assisted coding is transforming how software is built—faster, smarter, and with fewer errors. GitHub Copilot leads this revolution by turning natural language into functional code, enabling developers to focus on solving problems rather than writing boilerplate. The Ultimate AI-Assisted Development with GitHub Copilot takes you step-by-step through mastering Copilot, starting with initial setup and basic use across multiple languages like Java, Python, TypeScript, Go, and C++. You’ll explore prompt engineering techniques to craft effective instructions, leverage multi-modal inputs to interact beyond text, and unlock advanced features like Vibe Coding and Agent Mode to create context-aware, intelligent workflows. The book also covers integrating Copilot into testing and debugging processes, automating repetitive tasks, and embedding AI-powered coding into CI/CD pipelines to streamline DevOps practices. Whether you're building APIs, automating tests, refactoring code, or optimizing release workflows, this book teaches you how to collaborate with AI—not just use it. Don't get left behind—unlock the full potential of GitHub Copilot and future-proof your skills today. WHAT WILL YOU LEARN ● Use GitHub Copilot effectively in Python, Java, Go, and C++. ● Write smart prompts to guide Copilot across coding scenarios. ● Build and debug applications using AI-generated code snippets. ● Enhance test automation and integrate Copilot into CI/CD flows. ● Leverage Agent Mode and Vibe Coding for intelligent automation. ● Adapt Copilot for education, framework design, and DevOps tasks. WHO IS THIS BOOK FOR? This book is tailored for developers, testers, SDETs, and automation engineers with hands-on experience in at least one programming language like Java, Python, or TypeScript. A basic understanding of version control and software development workflows is recommended to benefit from the AI-assisted techniques covered fully. TABLE OF CONTENTS 1. The Rise of AI in Coding 2. Getting Started with GitHub Copilot 3. JavaScript/TypeScript with GitHub Copilot 4. Python and AI-Assisted Coding 5. Java with Copilot 6. C/C++ with Copilot 7. Go Programming with Copilot 8. Pair Programming with Copilot 9. Advanced Techniques with Copilot 10. Testing and Debugging with Copilot 11. Updating Workflows with GitHub Copilot 12. Integrating Copilot with IDEs 13. Best Practices and Limitations 14. Copilot in Education 15. Real-World Use Cases and Case Studies 16. The Future of AI-Assisted Coding 17. Recap of the Key Points Index

Learn Ai Assisted Python Programming

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Author : Leo Porter
language : en
Publisher: Simon and Schuster
Release Date : 2023-11-21

Learn Ai Assisted Python Programming written by Leo Porter and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-21 with Computers categories.

Writing computer programs in Python just got a lot easier! Use AI-assisted tools like GitHub Copilot to go from idea to application faster than you can say "ChatGPT". In Learn AI-Assisted Python Programming: With GitHub Copilot you'll learn how to: Write fun and useful Python applications--no programming experience required! Use the Copilot AI coding assistant to create Python programs Write prompts that tell Copilot exactly what to do Read Python code and understand what it does Test your programs to make sure they work the way you want them to Fix code with prompt engineering or human tweaks Apply Python creatively to help out on the job Learn AI-Assisted Python Programming: With GitHub Copilot is a beginner's guide that embraces AI as the future of coding. AI-assisted coding tools like GitHub Copilot and ChatGPT empower you to create useful Python applications without learning all the low-level details of a programming language. You'll hit the ground running as you write prompts that tell your AI-assistant exactly what you want your programs to do. Along the way, you'll pick up the essentials of Python programming and practice the higher-level thinking you'll need to create working apps for data science, automation, and even video games.

Microsoft Copilot For Coders Elevate Your Programming With Ai Assistance

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Author : Toby Webber
language : en
Publisher: ChiperHub LLC
Release Date : 2025-08-01

Microsoft Copilot For Coders Elevate Your Programming With Ai Assistance written by Toby Webber and has been published by ChiperHub LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-01 with Computers categories.

Unleash Your Inner AI Ninja: Master Microsoft Copilot and Transform the Way You Work Tired of tedious coding tasks? Wish you could write better code, faster? It's time to embrace the future of coding with Microsoft Copilot, your revolutionary AI coding assistant. This comprehensive guide is packed with Copilot tips and Copilot best practices, helping you become a more productive and innovative developer. Whether you're a beginner exploring Copilot for beginners or a seasoned coder ready to dive into advanced AI programming tools, this book has you covered. Inside this guide, you'll learn how to: Generate code effortlessly: Use Copilot AI to create Python scripts, JavaScript functions, or even full Java modules with just a few keystrokes. Automate tedious tasks and embrace the future of coding! Enhance productivity: With Copilot productivity features, streamline workflows, minimize errors, and build secure, reliable code. Debug and test like a pro: Discover Copilot debugging techniques and create comprehensive test suites, from unit tests to integration tests. Integrate with popular IDEs: Master the art of working with Copilot and VS Code, IntelliJ IDEA, or Neovim for a seamless coding experience. Explore specialized tasks: Whether you're into web development, data science, or building mobile apps, Copilot programming adapts to your needs. Stay ahead with ethical AI: Learn about the ethics of AI software development, including code ownership and bias, ensuring you're prepared for the evolving role of developers. This guide isn't just for professionals. It's also perfect for: - Students delving into Copilot for developers to enhance their skills. - Tech enthusiasts intrigued by the potential of AI for developers. - Teams seeking practical insights to transform their workflows with Copilot tricks and advanced Copilot tutorials. Don’t let the AI revolution pass you by. Equip yourself with the knowledge to thrive in this transformative era of coding. Order your copy today and unlock the full potential of Microsoft Copilot!

Ai Assisted Programming

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Author : Tom Taulli
language : en
Publisher:
Release Date : 2024-05-21

Ai Assisted Programming written by Tom Taulli and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-21 with Computers categories.

Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, and design; coding; and debugging, testing, and documentation. With this practical book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs (ChatGPT, Bard, and Claude) to code-specific systems (GitHub Copilot, Tabnine, Cursor, and Amazon CodeWhisperer). You'll also learn about more specialized generative AI tools for tasks such as text-to-image creation. Author Tom Taulli provides a methodology for modular programming that aligns effectively with the way prompts create AI-generated code. This guide also describes the best ways of using general purpose LLMs to learn a programming language, explain code, or convert code from one language to another. This book examines: The core capabilities of AI-based development tools Pros, cons, and use cases of popular systems such as GitHub Copilot and Amazon CodeWhisperer Ways to use ChatGPT, Bard, Claude, and other generic LLMs for coding Using AI development tools for the software development lifecycle, including requirements, planning, coding, debugging, and testing Prompt engineering for development Using AI-assisted programming for tedious tasks like creating regular expressions making chron jobs and GitHub Actions How to use AI-based low-code and no-code tools

Ai Assisted Programming Mastery

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Author : Josh Raymond
language : en
Publisher: Independently Published
Release Date : 2025-12-13

Ai Assisted Programming Mastery written by Josh Raymond and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-13 with Computers categories.

Software development is entering a new era-one where developers don't work alone. AI-Assisted Programming Mastery is your practical guide to using intelligent AI tools to write better code, faster, and with fewer errors. Whether you're a beginner learning to code or an experienced developer looking to level up your workflow, this book shows you how to collaborate with AI effectively and professionally. Focused on real-world techniques-not hype-this guide walks you through the strategies, tools, and workflows that modern developers use to accelerate development while maintaining high code quality. What You'll Learn ✔ How AI-assisted coding actually works and where it adds the most value ✔ Using AI to generate, refactor, and document code efficiently ✔ Techniques for improving accuracy, reducing bugs, and catching edge cases ✔ Prompting strategies that lead to better, more reliable code output ✔ Pair-programming with AI for faster problem solving ✔ Applying AI across different stages of development-from planning to deployment ✔ Integrating AI into everyday workflows without losing control or creativity ✔ Best practices for responsible, secure, and maintainable AI-assisted coding Who This Book Is For Software developers and engineers Beginners learning modern programming workflows Students and self-taught coders Freelancers and indie developers Teams looking to improve development speed and consistency Anyone who wants to code smarter, not harder Why This Book Stands Out Instead of focusing on one tool, this book teaches transferable AI-assisted programming techniques you can apply across platforms, languages, and frameworks. The emphasis is on thinking, workflow design, and practical use-not vendor lock-in. By the end, you'll have a repeatable system for using AI as a reliable coding partner-one that helps you move faster, write cleaner code, and stay productive in a rapidly evolving development landscape.

The Future Of Software Engineering And Data Analysis How Cloud Based Ai Is Leading The Change

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Author : Koteswararao Dondapati
language : en
Publisher: Navi International Book Publication house
Release Date : 2023-11-07

The Future Of Software Engineering And Data Analysis How Cloud Based Ai Is Leading The Change written by Koteswararao Dondapati and has been published by Navi International Book Publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-07 with Computers categories.

Advances in cloud-based artificial intelligence (AI) are the main force behind the significant changes occurring in the fields of software engineering and data analysis. Traditional approaches are being redefined by this change, which also makes it possible for businesses to improve their operations by using complex algorithms and enormous processing resources. Software developers and data analysts can work together more successfully across borders because to cloud-based AI's scalability, flexibility, and accessibility. The capacity of cloud-based AI to handle and analyze massive information in real time, resulting in more informed decision-making, is one of its main advantages. Cloud-hosted machine learning models may continually learn from incoming data, increasing their prediction power and speeding up the time it takes to get insight. Teams may test out novel ideas without being constrained by on-premises technology because to this flexibility, which promotes an innovative culture. Additionally, cloud platforms provide a wide range of services and technologies that simplify the development lifecycle, such as integrated development environments (IDEs) and automated data processing pipelines. In addition to increasing efficiency, these resources democratise access to cutting-edge technology, allowing smaller businesses to compete with bigger ones. Workforce dynamics are also changing as a result of cloud-based AI's incorporation into data analysis and software engineering. Professionals may concentrate on higher-level strategic efforts, which foster creativity and problem-solving, while regular work become automated. But this change calls for a change in skill sets, highlighting the need of lifelong learning and adjustment to new tools and technology. In conclusion, cloud-based AI is driving a major shift in data analysis and software engineering that is marked by increased productivity, increased teamwork, and technological democratization. The future holds not just better performance but also a redesigned environment where creativity flourishes as long as organizations continue to accept these changes.

Ai Assisted Software Development With Github Copilot And Chatgpt

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Author : Christoffer Noring
language : en
Publisher: Packt Publishing
Release Date : 2024

Ai Assisted Software Development With Github Copilot And Chatgpt written by Christoffer Noring and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Computers categories.

This guide teaches you how to use AI tools to automate repetitive tasks and streamline development processes. It covers prompt engineering, code reviews, version control, team collaboration, debugging, and ethical considerations. You will be equipped with skills to optimize your productivity and excel in your projects.