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Total Size:
31.6 MB
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6E85CA20193E315B17452115EDF50555DCBA5652
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July 10, 2025, 12:03 p.m.
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(Last updated: July 10, 2025, 12:03 p.m.)
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| ['Morgan J. Coding with AI. Examples in Python MEAP 2025.pdf'] | 0 bytes |
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31.6 MB
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2025-07-10
| Uploaded by andryold1 | Size 31.6 MB | Health [ 28 /21 ] | Added 2025-07-10 |
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339.2 MB
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| Uploaded by Lulloz | Size 339.2 MB | Health [ 103 /28 ] | Added 2025-12-03 |
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| Uploaded by Lulloz | Size 325.0 MB | Health [ 114 /36 ] | Added 2025-12-03 |
NOTE
SOURCE: Morgan J. Coding with AI. Examples in Python MEAP 2025
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COVER
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MEDIAINFO
Textbook in PDF format Practical techniques to accelerate software development using Generative AI. Let’s get real. You’d like to hand off a lot of tedious software development tasks to an assistant — and now you can! AI-powered coding tools like Copilot can accelerate research, design, code creation, testing, troubleshooting, documentation, refactoring and more. Coding with AI shows you how. Written for working developers, this book fast-tracks you to AI-powered productivity with bite-size projects, tested prompts, and techniques for getting the most out of AI. In Coding with AI you’ll learn how to Incorporate AI tools into your development workflow Create pro-quality documentation and tests Debug and refactor software efficiently Create and organize reusable prompts Coding with AI takes you through several small Python projects with the help of AI tools, showing you exactly how to use AI to create and refine real software. This book skips the baby steps and goes straight to the techniques you’ll use on the job, every day. You’ll learn to sidestep AI inefficiencies like hallucination and identify the places where AI can save you the most time and effort. Unique tips, tricks, and prompt hacks ensure you’re getting the best out of AI. What if you could leverage your existing Python expertise alongside AI that understands your code context, anticipates patterns, and generates implementation details while you focus on architecture and design? That's the power of generative AI tools for experienced developers. When I first encountered these tools, I approached them with healthy skepticism. But after integrating them into real production projects over the past year, I've reduced implementation time by approximately 30% while improving code quality and test coverage. It’s likely you’ve already used ChatGPT or Claude for coding. You’ve likely seen GitHub Copilot suggestions pop up in your editor. Or maybe you're just curious about all the AI buzz. If you’re curious about how to leverage these tools to make yourself super productive, you're in the right place. This book is your practical guide to using AI tools to supercharge your coding - no AI expertise required. Coding with AI. Part 1: Introduction to Generative AI. First steps with AI-assisted coding. Part 2: Design and Discovery. Coding the first version of our application. Using BlackboxAI to Generate Base Code. Generating a software backend with Tabnine. Building user interfaces with ChatGPT. Building Effective Tests with Generative AI. Prompt Engineering. Vibe Coding with Cursor
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