Overview

Revolutionize your software development with this comprehensive guide to AI pair programming! Stay ahead of the curve by mastering cutting-edge tools like GitHub Copilot, Claude, and ChatGPT to enhance your coding workflow. Discover how to automate repetitive tasks such as refactoring, debugging, and documentation, and leverage advanced techniques like prompt engineering and multi-agent workflows to generate precise, high-quality code. Through practical examples tailored to a task management web app, you'll learn how to code faster, reduce errors, and boost efficiency with AI. Streamline Your Development Process with AI Unlock the full potential of AI to optimize your daily coding tasks. This book shows you how to harness tools like GitHub Copilot for real-time code suggestions, Claude for in-depth code reviews, and ChatGPT for brainstorming features. Explore AI-driven solutions for database design, unit testing, documentation, DevOps automation, and more, all while maintaining code quality and security. Reality Cut through the noise surrounding AI coding tools with insights from expert developers. Learn the true capabilities-and limitations-of AI assistants through real-world examples, such as building and refining a Node.js and React-based task management app. Understand how to use AI effectively, avoid common pitfalls like insecure code or licensing issues, and ensure your projects remain robust and compliant. AI Assistants for Every Task This guide provides a complete, up-to-date overview of AI-assisted development, covering everything from GitHub Copilot's autocompletions to Claude's refactoring suggestions and ChatGPT's API integrations. Learn how to bootstrap projects, debug complex scripts, generate comprehensive tests, and automate administrative tasks, all with practical workflows you can apply immediately. Master AI-Driven Development Prompt Engineering: Craft precise prompts to get the code you need. Code Generation: Build endpoints, components, and tests with tools like Copilot and Claude. Refactoring and Debugging: Streamline code maintenance with AI-driven insights. Unit Testing: Generate robust test suites for your applications. Documentation: Automate API docs and changelogs with AI. Database Design: Optimize schemas and queries with AI assistance. DevOps Automation: Integrate AI into CI/CD pipelines for testing and deployment. Local LLMs and APIs: Use local models or cloud APIs for secure, customized workflows. Multi-Agent Workflows: Combine generator and validator AIs for higher-quality code. Ethical AI Use: Navigate data privacy, licensing, and bias concerns responsibly. Whether you're a solo developer or part of a team, AI-Assisted Development equips you with the knowledge and tools to transform your coding workflow. With step-by-step guidance and a focus on practical, real-world applications, this book is your essential companion for building smarter, faster, and more reliable software in the AI-driven era.

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