Ai Assisted Software Development With Github Copilot And Chatgpt
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Ai Assisted Programming For Web And Machine Learning
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Author : Christoffer Noring
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-08-30
Ai Assisted Programming For Web And Machine Learning written by Christoffer Noring and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-30 with Computers categories.
Speed up your development processes and improve your productivity by writing practical and relevant prompts to build web applications and Machine Learning (ML) models Purchase of the print or Kindle book includes a free PDF copy Key Features Utilize prompts to enhance frontend and backend web development Develop prompt strategies to build robust machine learning models Use GitHub Copilot for data exploration, maintaining existing code bases, and augmenting ML models into web applications Book DescriptionAI-Assisted Programming for Web and Machine Learning shows you how to build applications and machine learning models and automate repetitive tasks. Part 1 focuses on coding, from building a user interface to the backend. You’ll use prompts to create the appearance of an app using HTML, styling with CSS, adding behavior with JavaScript, and working with multiple viewports. Next, you’ll build a web API with Python and Flask and refactor the code to improve code readability. Part 1 ends with using GitHub Copilot to improve the maintainability and performance of existing code. Part 2 provides a prompting toolkit for data science from data checking (inspecting data and creating distribution graphs and correlation matrices) to building and optimizing a neural network. You’ll use different prompt strategies for data preprocessing, feature engineering, model selection, training, hyperparameter optimization, and model evaluation for various machine learning models and use cases. The book closes with chapters on advanced techniques on GitHub Copilot and software agents. There are tips on code generation, debugging, and troubleshooting code. You’ll see how simpler and AI-powered agents work and discover tool calling.What you will learn Speed up your coding and machine learning workflows with GitHub Copilot and ChatGPT Use an AI-assisted approach across the development lifecycle Implement prompt engineering techniques in the data science lifecycle Develop the frontend and backend of a web application with AI assistance Build machine learning models with GitHub Copilot and ChatGPT Refactor code and fix faults for better efficiency and readability Improve your codebase with rich documentation and enhanced workflows Who this book is for Experienced developers new to GitHub Copilot and ChatGPT can discover the best strategies to improve productivity and deliver projects quicker than traditional methods. This book is ideal for software engineers working on web or machine learning projects. It is also a useful resource for web developers, data scientists, and analysts who want to improve their efficiency with the help of prompting. This book does not teach web development or how different machine learning models work.
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
Generative Ai In Software Engineering
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Author : Aguilar-Calderón, José Alfonso
language : en
Publisher: IGI Global
Release Date : 2025-06-13
Generative Ai In Software Engineering written by Aguilar-Calderón, José Alfonso and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-13 with Computers categories.
Generative AI transforms the landscape of software engineering, enabling automation, creativity, and efficiency throughout development. By leveraging advanced machine learning models, like large language models and code generation tools, developers can automate code generation, streamline testing, and design software architectures. This shift accelerates development timelines and redefines the roles of engineers and the skills required in modern software teams. As generative AI evolves, its integration into software engineering raises important questions around reliability, security, and human-AI collaboration. Generative AI in Software Engineering explores the evolving role of generative AI in the software engineering landscape. It examines how AI accelerates software development, reduces costs, and enhances creativity, offering real-world benefits for businesses. This book covers topics such as quantum computing, visual intelligence, and environment science, and is a useful resource for business owners, computer engineers, academicians, researchers, and data scientists.
Learn Ai Assisted Python Programming Second Edition
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Author : Leo Porter
language : en
Publisher: Simon and Schuster
Release Date : 2024-10-29
Learn Ai Assisted Python Programming Second Edition 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 2024-10-29 with Computers categories.
See how an AI assistant can bring your ideas to life immediately!
Learn Ai Assisted Python Programming
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Author : Leo Porter
language : en
Publisher: Simon and Schuster
Release Date : 2024-01-09
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 2024-01-09 with Computers categories.
Writing computer programs in Python just got a lot easier! Use AI-assisted coding tools like GitHub Copilot and ChatGPT to turn your ideas into applications faster than ever. AI has changed the way we write computer programs. With tools like Copilot and ChatGPT, you can describe what you want in plain English, and watch your AI assistant generate the code right before your eyes. It’s perfect for beginners, or anyone who’s struggled with the steep learning curve of traditional programming. In Learn AI-Assisted Python Programming: With GitHub Copilot and ChatGPT 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 and ChatGPT is a hands-on beginner’s guide that is written by two esteemed computer science university professors. It teaches you everything you need to start programming Python in an AI-first world. You’ll hit the ground running, writing 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 analysis, automating tedious tasks, and even video games. Foreword by Beth Simon, Ph.D. About the technology The way people write computer programs has changed forever. Using GitHub Copilot, you describe in plain English what you want your program to do, and the AI generates it instantly. About the book This book shows you how to create and improve Python programs using AI—even if you’ve never written a line of computer code before. Spend less time on the slow, low-level programming details and instead learn how an AI assistant can bring your ideas to life immediately. As you go, you’ll even learn enough of the Python language to understand and improve what your AI assistant creates. What's inside Prompts for working code Tweak code manually and with AI help AI-test your programs Let AI handle tedious details About the reader If you can move files around on your computer and install new programs, you can learn to write useful software! About the author Dr. Leo Porter is a Teaching Professor at UC San Diego. Dr. Daniel Zingaro is an Associate Teaching Professor at the University of Toronto. The technical editor on this book was Peter Morgan. Table of Contents 1 Introducing AI-assisted programming with Copilot 2 Getting started with Copilot 3 Designing functions 4 Reading Python code – Part 1 5 Reading Python Code – Part 2 6 Testing and prompt engineering 7 Problem decomposition 8 Debugging and better understanding your code 9 Automating tedious tasks 10 Making some games 11 Future directions
The Science Of Ai Designing The Next Generation Of Intelligent Systems
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Author : Radhakrishnan Arikrishna Perumal
language : en
Publisher: Radhakrishnan Arikrishna Perumal
Release Date : 2025-01-01
The Science Of Ai Designing The Next Generation Of Intelligent Systems written by Radhakrishnan Arikrishna Perumal and has been published by Radhakrishnan Arikrishna Perumal this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-01 with Computers categories.
Welcome to the next frontier of artificial intelligence — a world where machines don’t just think, they imagine, generate, and collaborate. Designing the Next Generation of Intelligent Systems is a definitive guide to understanding how generative AI is reshaping industries, unlocking human potential, and paving the way for intelligent systems that learn, create, and evolve. Written by Radhakrishnan Arikrishna Perumal, a Principal Software Architect, AI researcher, and acclaimed technology author, this book explores the science and real-world applications of generative AI — from foundational neural networks to the complex behaviors of Large Language Models (LLMs) like GPT-4, Claude, and Google Gemini. Whether you're a developer, data scientist, researcher, product manager, educator, or policy-maker, this book equips you with the knowledge, frameworks, and vision to navigate the transformative wave of generative AI. It bridges theory with practice, covering the mathematical foundations, model architectures, training pipelines, deployment workflows, ethical challenges, and enterprise use cases. What You’ll Learn: • The evolution of deep learning and the rise of generative models • Core concepts behind VAEs, GANs, Transformers, Diffusion Models, and LLMs • Inside look at frontier AI systems like GPT-4, Claude, and Gemini • How to build and fine-tune custom LLMs with open-source tools • Practical strategies for training, deploying, and scaling generative AI models using cloud and edge computing • Pipelines, LLMOps, and tools like Hugging Face, LangChain, and Azure AI Studio • Techniques for data augmentation, model optimization, and prompt engineering • Critical insights into security, interpretability, bias, and AI alignment • Use cases in healthcare, law, education, finance, and enterprise automation • The future of multimodal AI, ethical design, and human-AI collaboration Why This Book? Unlike generic AI introductions or academic research texts, this book offers both breadth and depth — structured to support readers who want a full-spectrum understanding of generative AI, from foundational knowledge to frontier innovation. It combines hands-on techniques with big-picture thinking, enriched with real-world examples, case studies, and tool comparisons. With over 35 chapters and 400+ pages of comprehensive, actionable insight, this is your essential guide to the future of artificial intelligence — a future where creativity, cognition, and computation converge. Who Should Read This Book? AI engineers and machine learning developers Cloud architects and DevOps professionals Data scientists and analysts Tech entrepreneurs and business leaders Academics, researchers, and students in AI and data science Policy-makers and professionals shaping the ethical use of AI About the Author: Radhakrishnan Arikrishna Perumal is a Principal Architect with 22+ years in IT and AI innovation. He has authored multiple books on technology, delivered keynotes at global conferences, and contributes to the advancement of responsible and scalable AI systems. His work spans enterprise architecture, generative AI research, and technical leadership in the cloud-native ecosystem. Start your journey into the next generation of intelligent systems. This isn’t just a book — it’s a blueprint for building the future with AI.
Artificial Intelligence In Hci
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Author : Helmut Degen
language : en
Publisher: Springer Nature
Release Date : 2024-05-31
Artificial Intelligence In Hci written by Helmut Degen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.
The three-volume book set LNAI 14734, 14735, and 14736 constitutes the refereed proceedings of 5th International Conference on Artificial Intelligence in HCI, AI-HCI 2024, held as part of the 26th International Conference, HCI International 2024, which took place in Washington, DC, USA, during June 29-July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The AI-HCI 2024 proceedings were organized in the following topical sections: Part I: Human-centered artificial intelligence; explainability and transparency; AI systems and frameworks in HCI; Part II: Ethical considerations and trust in AI; enhancing user experience through AI-driven technologies; AI in industry and operations; Part III: Large language models for enhanced interaction; advancing human-robot interaction through AI; AI applications for social impact and human wellbeing.
Mastering Deepseek Ai Step By Step Guide To The Chatgpt Challenger
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Author : Dr. Wasim Akram Mandal
language : en
Publisher: Nobel House Press
Release Date : 2025-01-29
Mastering Deepseek Ai Step By Step Guide To The Chatgpt Challenger written by Dr. Wasim Akram Mandal and has been published by Nobel House Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-29 with Computers categories.
Artificial intelligence is evolving at an unprecedented pace, and new breakthroughs continue to reshape the way we interact with technology. While OpenAI’s ChatGPT has dominated the AI space, a new contender has emerged—DeepSeek AI, an innovative and powerful language model that challenges the status quo. This book, Mastering DeepSeek AI: Step-by-Step Guide to the ChatGPT Challenger, is designed to be your ultimate guide to understanding, comparing, and utilizing DeepSeek AI. Whether you’re an AI enthusiast, a researcher, or someone looking to harness AI for business or personal use, this book will provide the insights you need. We begin by exploring the DeepSeek phenomenon, discussing what makes it special, and uncovering the technology behind it. We then compare DeepSeek AI with ChatGPT, analyzing their strengths and weaknesses. For those eager to get hands-on experience, we provide step-by-step guides on using DeepSeek across different platforms, including mobile and desktop. Additionally, we delve into the DeepSeek-R1 model, its open-source nature, and the impact of DeepSeek on the global AI industry. As China continues to invest heavily in artificial intelligence, DeepSeek AI represents a significant milestone in the country’s AI revolution. We examine its implications for the tech industry, global competition, and the future of AI development. By the end of this book, you will have a deep understanding of DeepSeek AI and its capabilities. More importantly, you will be equipped with the knowledge to integrate it into your workflows, enhance your AI-driven projects, and stay ahead in this rapidly evolving field. Let’s embark on this journey into the world of DeepSeek AI and discover what the future of artificial intelligence holds.
Digital Transformation In Education And Artificial Intelligence Application
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Author : Tomislav Volarić
language : en
Publisher: Springer Nature
Release Date : 2024-07-02
Digital Transformation In Education And Artificial Intelligence Application written by Tomislav Volarić and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-02 with Computers categories.
This book constitutes selected papers presented during the Second International Conference on Digital Transformation in Education and Artificial Intelligence Applications, MoStart 2024, held in Mostar, Bosnia and Herzegovina, in April 2024. The 17 papers were selected from the 32 submissions. The proceedings cover a broad range of topics, computer vision, natural language processing, and the latest advancements in the digital transformation of education. Notably, the application of artificial intelligence, the incorporation of gamification and robotics into learning processes, and innovative technologies such as IoT, have been thoroughly explored.
Ai Powered Developer
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Author : Nathan Crocker
language : en
Publisher: Simon and Schuster
Release Date : 2024-10-01
Ai Powered Developer written by Nathan Crocker 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 2024-10-01 with Computers categories.
Use groundbreaking generative AI tools to increase your productivity, efficiency, and code quality. AI coding tools like ChatGPT and GitHub Copilot are changing the way we write code and build software. AI-Powered Developer reveals the practical best practices you need to deliver reliable results with AI. It cuts through the hype, showcasing real-world examples of how these tools ease and enhance your everyday tasks, and make you more creative. In AI-Powered Developer you’ll discover how to get the most out of AI: • Harness AI to help you design and plan software • Use AI for code generation, debugging, and documentation • Improve your code quality assessments with the help of AI • Articulate complex problems to prompt an AI solution • Develop a continuous learning mindset that keeps you up to date • Adapt your development skills to almost any language AI coding tools give you a smart and reliable junior developer that’s fast and keen to help out with your every task and query. AI-Powered Developer helps you put your new assistant to work. You’ll learn to use AI for everything from writing boilerplate, to testing and quality assessment, managing infrastructure, delivering security, and even assisting with software design. About the technology Using AI tools like Copilot and ChatGPT is like hiring a super-smart and super-fast junior developer eager to take on anything from research to refactoring. Coding with AI can help you work faster, write better applications, and maybe do things that aren’t even possible with your current team. This book will show you how. About the book AI-Powered Developer: Build software with ChatGPT and Copilot teaches you in concrete detail how to maximize the impact of AI coding tools in real-world software development. In it, you’ll walk through a complete application, introducing AI into every step of the workflow. You’ll use ChatGPT and Copilot to generate code and ideas, make predictive suggestions, and develop a self-documenting application. You’ll also learn how AI can help test and explain your code. What's inside • Use AI to design and plan software • Code generation, debugging, and documentation • Improve code quality assessments • Work with unfamiliar programming languages About the reader For intermediate software developers. No AI experience necessary. About the author Nathan B. Crocker is Cofounder and CTO at Checker Corp. The technical editor on this book was Nicolai Nielsen. Table of Contents PART 1 1 Understanding large language models 2 Getting started with large language models PART 2 3 Designing software with ChatGPT 4 Building software with GitHub Copilot 5 Managing data with GitHub Copilot and Copilot Chat PART 3 6 Testing, assessing, and explaining with large language models PART 4 7 Coding infrastructure and managing deployments 8 Secure application development with ChatGPT 9 GPT-ing on the go A Setting up ChatGPT B Setting up GitHub Copilot C Setting up AWS CodeWhisperer