Nº de artículo:
216104705
Coding with AI: Examples in Python
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Nº de artículo:
216104705
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Learn to integrate AI tools into real-world Python projects, write faster, debug smarter, and focus on the problems that matter most.
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- 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 workflowCreate pro-quality documentation and testsDebug and refactor software efficientlyCreate and organize reusable promptsCoding 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.About the technologyTaking a systematic approach to coding with Al will deliver the clarity, consistency, and scalability you need for production-grade applications. With practice, you can use AI tools to break down complex problems, generate maintainable code, enhance your models, and streamline debugging, testing, and collaboration. As you learn to work with AI’s strengths—and recognize its limitations—you’ll build more reliable software and find that the quality of your generated code improves significantly.About the bookCoding with AI shows you how to gain massive benefits from a powerful array of AI-driven development tools and techniques. And it shares the insights and methods you need to use them effectively in professional projects. Following realistic examples, you’ll learn AI coding for database integration, designing a UI, and establishing an automated testing suite. You’ll even vibe code a game—but only after you’ve built a rock-solid foundation.What's insideIncorporate AI into your development workflowCreate pro-quality documentation and testsDebug and refactor software efficientlyCreate and organize reusable promptsAbout the readerFor professional software developers. Examples in Python.About the authorJeremy C. Morgan has two decades of experience as an engineer building software for everything from Fortune 100 companies to tiny startups.Table of ContentsPart 11 Introducing generative AI2 First steps with AI-assisted codingPart 23 Design and discovery4 Coding the first version of our application5 Using Blackbox AI to generate base code6 Generating a software backend with TabninePart 37 Building user interfaces with ChatGPT8 Building effective tests with generative AI9 Prompt engineering10 Vibe coding with Cursor
| Publisher | Manning Publications |
| Publication date | 21 Oct. 2025 |
| Edition | 1st |
| Language | English |
| Print length | 336 pages |
| ISBN-10 | 1633437272 |
| ISBN-13 | 978-1633437272 |
| Dimensions | 18.75 x 2.13 x 23.5 cm |
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English edition Jeremy Morgan Format: Paperback Editorial Review
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ventajas
- Clear explanations for beginners
- Real-world Python examples
- Engaging learning style
- Comprehensive AI insights
- Helpful troubleshooting tips
Contras
- Some examples could be more in-depth.
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características y beneficios
- Automate repetitive coding tasks with AI assistance.
- Gain insights on core AI algorithms for coding and generative practices.
- Develop pro-quality documentation and tests for Python projects.
- Efficiently debug and refactor code with AI tools.
- Create and organize reusable prompts for various coding tasks.
- Learn best practices for integrating testing and version control in AI-driven codebases.
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