Coding With Ai
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Coding With Ai For Dummies
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Author : Chris Minnick
language : en
Publisher: John Wiley & Sons
Release Date : 2024-03-26
Coding With Ai For Dummies written by Chris Minnick and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-26 with Computers categories.
Boost your coding output and accuracy with artificial intelligence tools Coding with AI For Dummies introduces you to the many ways that artificial intelligence can make your life as a coder easier. Even if you’re brand new to using AI, this book will show you around the new tools that can produce, examine, and fix code for you. With AI, you can automate processes like code documentation, debugging, updating, and optimization. The time saved thanks to AI lets you focus on the core development tasks that make you even more valuable. Learn the secrets behind coding assistant platforms and get step-by-step instructions on how to implement them to make coding a smoother process. Thanks to AI and this Dummies guide, you’ll be coding faster and better in no time. Discover all the core coding tasks boosted by artificial intelligence Meet the top AI coding assistance platforms currently on the market Learn how to generate documentation with AI and use AI to keep your code up to date Use predictive tools to help speed up the coding process and eliminate bugs This is a great Dummies guide for new and experienced programmers alike. Get started with AI coding and expand your programming toolkit with Coding with AI For Dummies.
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.
Coding With Ai For Beginners
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Author : Rodgers Diaz
language : en
Publisher: Independently Published
Release Date : 2024-06-24
Coding With Ai For Beginners written by Rodgers Diaz and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-24 with Computers categories.
Step into the Future with AI and Coding! Imagine creating smart programs that can learn and think on their own. Sounds exciting, right? Coding with AI for Beginners is here to help you do just that, no matter where you're starting from. The tech world is changing fast, and knowing AI is becoming essential. If you're a newbie or an experienced coder wanting to dive into AI, this book solves the problem of complex, hard-to-understand AI concepts by breaking them down into simple, practical steps. This book will guide you from the very basics of Python programming to advanced topics like machine learning, deep learning, natural language processing, and computer vision. Each chapter is filled with clear explanations and hands-on examples, so you can learn by doing. With this book, you will: Build a strong understanding of AI and its uses in everyday technology. Get practical experience with real-world examples, making the learning process fun and engaging. Create your own AI projects, boosting your coding skills and career opportunities. Stay updated on the latest AI trends, keeping you ahead in the tech game. Don't miss out on the chance to become a part of the AI revolution. Coding with AI for Beginners is the perfect starting point for turning your coding dreams into reality. Get your copy today and start your journey into the amazing world of AI!
Ai S Coding Revolution April 2025
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Author : Dineskumar Ponnusamy
language : en
Publisher: Dineshkumar Ponnusamy
Release Date : 2025-04-25
Ai S Coding Revolution April 2025 written by Dineskumar Ponnusamy and has been published by Dineshkumar Ponnusamy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Computers categories.
This book discusses the transformative impact of artificial intelligence (AI) and vibe coding on the progression of software development as of April 2025
Beyond Vibe Coding
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Author : Addy Osmani
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-08-18
Beyond Vibe Coding written by Addy Osmani 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 2025-08-18 with Computers categories.
AI is transforming software development, shifting programmers from writing code to collaborating with AI in an intent-driven workflow. Vibe coding—a prompt-first, exploratory approach where you describe what you want in natural language and let a large language model fill in the blanks—represents a radical shift in the developer's role from writing code todirecting it. However, vibe coding comes with a serious caveat: Like a high-speed exploratory vehicle, it can take you off the beaten path quickly. Beyond Vibe Coding: From Coder to AI-Era Developer explores how AI-powered coding assistants like GitHub Copilot and OpenAI Codex are reshaping the way we build software, from automating routine coding tasks to influencing architecture and design decisions. Written by Addy Osmani, this guide provides developers, tech leads, and organizations with practical strategies to integrate AI into their workflows effectively. Learn how to formulate clear goals and constraints for the AI, review AI-generated code critically, and integrate those pieces into a coherent whole. Whether you're adopting AI tools today or preparing for the future of software engineering, this book offers insights and hands-on examples to keep your skills sharp in this evolving landscape. Understand how AI-assisted development is reshaping programming Master techniques for refining, validating, and debugging AI-generated code, and understand how and why LLM generations can go wrong Explore multiagent coding systems and AI-driven software workflows Future-proof your career by adapting to AI's growing role in development
Ai Code Revolution With Vibe Coding
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Author : Rajender Kumar
language : en
Publisher: Jamba Academy
Release Date : 2025-08-29
Ai Code Revolution With Vibe Coding written by Rajender Kumar and has been published by Jamba Academy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-29 with Computers categories.
Build Software Through Conversation – The AI Coding Revolution Starts Here Transform from idea to working application in hours, not months. Master the art of conversational programming and join the developers earning $150,000+ by leveraging AI as their coding partner. The software development industry is experiencing its most significant transformation since the internet's inception. AI Code Revolution with Vibe Coding positions you at the epicenter of this shift, where artificial intelligence democratizes programming and natural conversation replaces complex syntax. This comprehensive guide reveals how to harness conversational AI to build sophisticated applications without memorizing programming languages or debugging endless lines of code. Whether you're a seasoned developer seeking 10x workflow acceleration or a creative entrepreneur with zero coding experience, this book unlocks the power to transform ideas into reality at unprecedented speed. The Financial Impact: Save Time, Earn More Compress development timelines from months to hours using rapid prototyping techniques Reduce development costs by up to 80% through AI-assisted coding workflows Access high-paying remote opportunities in the growing AI development market Build and launch MVPs faster than traditional development teams Automate repetitive coding tasks to focus on high-value creative problem-solving Who Is This Book For? For Experienced Developers: Accelerate your workflow, stay competitive in the AI era, and command premium rates by mastering conversational programming techniques that set you apart from traditional coders. For Aspiring Programmers: Skip years of syntax memorization and debugging frustration. Learn to build real applications through natural conversation while developing the mindset needed for AI-powered development careers. For Entrepreneurs and Business Leaders: Turn your ideas into working prototypes without hiring expensive development teams. Understand AI development capabilities to make informed technology decisions and communicate effectively with technical teams. For Creative Professionals: Bridge the gap between creative vision and technical implementation. Build interactive projects, automate workflows, and bring digital concepts to life without traditional programming barriers. What Makes This Book Stand Out Unlike generic AI tutorials or traditional programming books, this guide introduces Vibe Coding – a revolutionary approach that treats AI as your collaborative coding partner. You'll develop the Next-Gen Explorer Mindset essential for thriving in an AI-powered future, learning not just what to build, but how to think strategically about human-AI collaboration in software development. The book provides hands-on, practical experience with real-world projects rather than theoretical concepts. Every chapter includes step-by-step implementations using current AI tools, ensuring you gain immediately applicable skills that translate into professional opportunities. Complete Chapter Breakdown Chapter 1: The Dawn of AI-Powered Development Discover how AI is fundamentally reshaping software development and why traditional coding education is becoming obsolete. Learn the economic forces driving the conversational programming revolution and how early adopters are gaining competitive advantages. Chapter 2: Foundations of Conversational Programming Master the core principles of communicating with AI to generate functional code. Develop effective prompting strategies and understand how to structure conversations that produce reliable, maintainable software solutions. Chapter 3: The Next-Gen Explorer Mindset Cultivate the curious, experimental approach essential for AI-powered development success. Learn to embrace uncertainty, iterate rapidly, and think strategically about human-AI collaboration in creative problem-solving. Chapter 4: Rapid Prototyping Fundamentals Transform ideas into working prototypes using AI-assisted development workflows. Master techniques that compress traditional development cycles from months to hours while maintaining quality and functionality. Chapter 5: Mastering AI Coding Tools and Platforms Navigate the landscape of AI development tools including ChatGPT, GitHub Copilot, and emerging platforms. Learn when to use each tool and how to integrate them into seamless development workflows. Chapter 6: Low-Code and No-Code Revolution Understand the strategic applications of low-code and no-code platforms within AI-powered development. Learn to choose the right approach for different project requirements and business contexts. Chapter 7: Web Development with Conversational AI Build responsive, interactive web applications through natural conversation. Master frontend and backend development using AI assistance while understanding modern web development best practices. Chapter 8: Mobile App Development Through AI Conversations Create native and cross-platform mobile applications using conversational programming techniques. Learn to navigate mobile development complexity through AI-guided workflows and rapid iteration. Chapter 9: Database Design and Management with AI Design, implement, and manage databases through conversational AI interfaces. Master data modeling, query optimization, and database administration without deep SQL expertise. Chapter 10: DevOps and Deployment Automation Automate deployment pipelines, server management, and monitoring systems using AI-assisted DevOps practices. Learn to scale applications efficiently while minimizing operational complexity. Chapter 11: Advanced AI Coding Techniques Explore sophisticated AI programming patterns including machine learning integration, API development, and complex system architecture through conversational programming approaches. Chapter 12: Building Real-World Projects Apply your skills to complete, production-ready projects including e-commerce platforms, data dashboards, and automation systems. Gain portfolio-worthy experience through guided implementations. Chapter 13: The Future of AI-Powered Development Understand emerging trends, prepare for industry evolution, and position yourself for long-term success in the AI-powered development landscape. Learn to stay ahead of technological changes. Your Gateway to the AI Development Economy This isn't just another programming book—it's your strategic guide to participating in the $650 billion software development industry's transformation. The skills you'll master are in immediate demand, with companies actively seeking professionals who can bridge human creativity and AI capabilities. Ready to revolutionize how you think about software development? Join thousands of developers and entrepreneurs who are already building the future through conversation.
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
The Ai Coding Prompt Playbook
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Author : Codapress Publishing
language : en
Publisher: Independently Published
Release Date : 2025-10-22
The Ai Coding Prompt Playbook written by Codapress Publishing and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-22 with categories.
The AI Coding Prompt Playbook 5,000 Prompts to Build Real Software with AI Agents, Prompt Engineering and Natural Language Welcome to the future of coding - where you build real software through conversation. The AI Coding Prompt Playbook contains 5,000 practical prompts across 500 complete projects, each designed to show how natural language can power genuine, working code. For every novice prompt, there's a matching professional version, giving you 2,500 paired examples that reveal how experts guide AI for accuracy, structure and depth. You won't find generic one-liners here. Every tutorial is a realistic prompt chain that mirrors how professional developers now collaborate with AI tools - from early planning and debugging to optimisation and deployment. Inside you'll find: ✅ 500 step-by-step projects covering web apps, automation, AI agents, data tools, visual dashboards and creative builds. ✅ 5,000 prompts in total - 2,500 for beginners and 2,500 advanced "supercharged" versions. ✅ Cross-language examples including Python, JavaScript, HTML/CSS, Swift, Flutter, PHP, Go, Rust and more. ✅ Prompt Engineering frameworks to help you think clearly, communicate precisely and build faster. ✅ Real-world results - practical, tested prompt chains that produce working code. Written in the clear, engaging Codapress style, this book bridges imagination and implementation. You'll learn how to plan, prompt and prototype complete systems - from automation scripts to AI-driven interfaces - using everyday language and structured logic. Whether you're a curious beginner or a professional developer, this playbook will help you harness AI as a genuine coding partner. 5,000 prompts. Real projects. Real results. Your next build starts with a single line - and a smarter question.
No Code Ai Concepts And Applications In Machine Learning Visualization And Cloud Platforms
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Author : Minsoo Kang
language : en
Publisher: World Scientific
Release Date : 2024-07-19
No Code Ai Concepts And Applications In Machine Learning Visualization And Cloud Platforms written by Minsoo Kang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-19 with Computers categories.
This book is a beginner-friendly guide to artificial intelligence (AI), ideal for those with no technical background. It introduces AI, machine learning, and deep learning basics, focusing on no-code methods for easy understanding. The book also covers data science, data mining, and big data processing, maintaining a no-code approach throughout. Practical applications are explored using no-code platforms like Microsoft Azure Machine Learning and AWS SageMaker. Readers are guided through step-by-step instructions and real-data examples to apply learning algorithms without coding. Additionally, it includes the integration of business intelligence tools like Power BI and AWS QuickSight into machine learning projects.This guide bridges the gap between AI theory and practice, making it a valuable resource for beginners in the field.
Code Blue To Code Ai
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Author : SUDHANSHU TONPE
language : en
Publisher: Shashwat Publication
Release Date : 2024-08-23
Code Blue To Code Ai written by SUDHANSHU TONPE and has been published by Shashwat Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-23 with Fiction categories.
The unique selling proposition (USP) of "Code Blue to Code AI" lies in its comprehensive exploration of the transformative impact of artificial intelligence (AI) on the healthcare industry. Authored by Dr. Sudhanshu Tonpe, the book stands out by: Expertise: Dr. Tonpe, an accomplished radiologist, brings his firsthand experience and insights to provide an authoritative perspective on the integration of AI in healthcare. Holistic Coverage: The book covers various facets, including medical diagnostics, drug discovery, patient engagement, and the collaboration between AI and healthcare professionals, offering a well-rounded understanding of the subject. Real-world Examples: By incorporating real-world case studies and examples, the book bridges the gap between theory and practical application, making the content relatable and insightful. Accessible Language: Dr. Tonpe communicates complex concepts in a clear and accessible language, making the book suitable for both healthcare professionals and a broader audience interested in the intersection of medicine and AI. Current Relevance: Given the dynamic nature of healthcare and AI, the book is likely to address contemporary issues and trends, keeping the content relevant and up-to-date. In essence, "Code Blue to Code AI" offers a unique blend of expertise, comprehensive coverage, practical examples, and accessibility, making it a valuable resource for anyone interested in the future of healthcare through the lens of artificial intelligence.