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AI-Assisted Programming: Better Planning, Coding, Testing, and Deployment

Tom Taulli

3.43/5 (32 ratings)

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An introductory and practical guide for developers on integrating AI tools into the software development lifecycle using LLM-based AI like ChatGPT, Gemini, GitHub Copilot, and Amazon CodeWhisperer. Taulli also provides a some hints on effective prompt engineering and explores how AI can automate tedious tasks like creating regular expressions, starter code, object-oriented programming classes, GitHub actions, and even create user interfaces.

Table of contents

Foreword
Preface

1. New World for Developers. . .
2. How AI Coding Technology Works
3. Prompt Engineering
4. GitHub Copilot
5. Other AI-Assisted Programming Tools
6. ChatGPT and Other General-Purpose LLMs
7. Ideas, Planning, and Requirements
8. Coding
9. Debugging, Testing, and Deployment
10. Takeaways.

Index

Current description based on a Gemini prompted rewrite reportedly aiming to streamline the previous, repetitive, clumsy and overhyped description into a more engaging and concise description.