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 youβll discover how to get the most out of AI:
β’ Harness AI to help you design and plan software
β’ Use AI for code generation, debugging, and documentation
β’ Improve your code quality assessments with the help of AI
β’ Articulate complex problems to prompt an AI solution
β’ Develop a continuous learning mindset that keeps you up to date
β’ Adapt your development skills to almost any language
AI coding tools give you a smart and reliable junior developer thatβs fast and keen to help out with your every task and query. AI-Powered Developer helps you put your new assistant to work. Youβll learn to use AI for everything from writing boilerplate, to testing and quality assessment, managing infrastructure, delivering security, and even assisting with software design.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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 arenβt 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, youβll walk through a complete application, introducing AI into every step of the workflow. Youβll use ChatGPT and Copilot to generate code and ideas, make predictive suggestions, and develop a self-documenting application. Youβll also learn how AI can help test and explain your code.
What's inside
β’ Use AI to design and plan software
β’ Code generation, debugging, and documentation
β’ Improve code quality assessments
β’ Work with unfamiliar programming languages
About the reader
For intermediate software developers. No AI experience necessary.
About the author
Nathan B. Crocker is Cofounder and CTO at Checker Corp.
The technical editor on this book was Nicolai Nielsen.
Table of Contents
PART 1
1 Understanding large language models
2 Getting started with large language models
PART 2
3 Designing software with ChatGPT
4 Building software with GitHub Copilot
5 Managing data with GitHub Copilot and Copilot Chat
PART 3
6 Testing, assessing, and explaining with large language models
PART 4
7 Coding infrastructure and managing deployments
8 Secure application development with ChatGPT
9 GPT-ing on the go
A Setting up ChatGPT
B Setting up GitHub Copilot
C Setting up AWS CodeWhisperer