Pereira S. Generative AI for Software Development. Building Software...2025

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Pereira S. Generative AI for Software Development. Building Software...2025

Textbook in PDF format How does Generative AI impact software development? In this practical guide, author Sergio Pereira shows you how to use this new technology to write better code in a fraction of the time. You'll learn how to leverage Generative AI at each step of a software feature's lifecycle, from brainstorming implementation ideas to writing and testing code to releasing features in production. This book covers everything software developers need to know to get started with AI tools. The author helps you filter through the hype, reviewing how 15+ AI tools perform in common daily coding tasks. You'll learn about key AI concepts, hands-on instructions for multiple AI tools, and considerations for their ethical use. This book guides you through real-world applications, explores popular tools and libraries, and shows you step-by-step how to adapt current methodologies and incorporate AI into your daily tasks. With this guide, you'll explore: The current landscape of generative AI tools for software development How generative AI is being applied in code generation, bug detection, quality assurance, frontend development, and more How to evaluate and choose the right AI tools for your needs Best practices, predictions, and challenges How you can prepare for future opportunities using generative AI Sergio Pereira has been a software engineer and CTO for 14 years and has built products for several fast-growing startups such as Bulk MRO, StudentFinance, and Candidly. For the last eight years he has built software products for the fintech industry under strict compliance requirements. As an early adopter of GitHub Copilot, he's a thought leader on the tool. Who This Book Is For: This book is for software engineers, product builders, CTOs, and curious tinkerers who want to stay ahead of the curve. Whether you’re building your next startup, leading an engineering team, or trying to automate tedious workflows, my goal is to help you think more clearly about what Generative AI can (and can’t) do in your day-to-day work. You’ll find practical strategies, critical evaluations, and enough context to make smart decisions, without needing to be a Machine Learning expert. Contents: Preface Code Generation and Autocompletion User Interface and User Experience Design Bug Detection and Code Review Automated Testing and Quality Assurance Predictive Analytics and Performance Optimization Documentation and Technical Writing Chatbots and Virtual Assistants Implementation Success Stories Index