Software developers who master AI-assisted workflows aren't just coding faster, they're solving problems junior teams can't touch and shipping features senior teams used to need weeks for.AI-Assisted Software Development Mastery is the complete, practical guide to working WITH AI tools not around them, across every stage of the software development lifecycle. This isn't a shallow tour of "10 ChatGPT prompts for coders." It's a structured, hands-on curriculum that takes you from your first effective prompt to designing AI-augmented system architecture, with real Java code, real company examples, and real self-assessment at every step. Inside, you'll learn how to: Write prompts that get production-quality code on the first try, not the fifth Choose the right AI tool for the job, from GitHub Copilot and Amazon Q to ChatGPT, Claude, and Cursor Use AI to debug faster, review code more rigorously, and catch security vulnerabilities human reviewers miss Generate comprehensive test suites that cover edge cases you'd never think to write by hand Keep documentation accurate and useful automatically, not as an afterthought Brainstorm, diagram, and stress-test architecture decisions with AI as a rigorous sounding board Navigate AI-assisted DevOps, security, team practices, and where this field is headed next Every chapter includes complete, runnable Java examples, five real-world case studies from companies like Netflix, Stripe, Google, and Amazon, clear diagrams, and a 25-question quiz to lock in what you've learned. Whether you're a student learning to use AI tools without becoming dependent on them, a working developer looking to multiply your output, or a tech lead building an AI-literate team, this book meets you where you are and takes you further. Written by Devendra Singh, author of Modern Software System Design & Architecture and founder of javatechonline.com. Scroll up and grab your copy to start building smarter, today.
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