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AI-Powered Developer. Nathan B. Crocker

Код: LB-0022554
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AI-Powered Developer. Nathan B. Crocker - фото 1 - id-p2725685352

Характеристики и описание

Основные атрибуты

ISBN9781633437616
Год издания2024
Количество страниц240
Язык изданияАнглийский

Пользовательские характеристики

АвторыNathan B. Crocker
Издательство Manning
ИллюстрацииЧерно-беліе
ОбложкаМягкая
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.
Frequently Asked Questions
 How can prompt engineering patterns improve the effectiveness of large language models?
 What role does ChatGPT play in software architecture and documentation?
 How does hexagonal architecture benefit software development?
 How can AI tools help implement domain-driven design and design patterns?
 What is the advantage of using event-driven data management with Kafka and Spark?
 How can large language models enhance software testing and code quality
 What are the benefits of using AI for infrastructure as code and cloud-native deployments
 How does ChatGPT contribute to application security and threat modeling?
 What are the key considerations for encrypting data at rest and in transit?
 How can developers run and compare local large language model

what's inside
 
  • Use AI to design and plan software
  • Code generation, debugging, and documentation
  • Improve code quality assessments
  • Work with unfamiliar programming languages
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