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Pair Programming with AI

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Morten Rand-Hendriksen

1:28:11

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  • 01 - Pair programming with AI.mp4
    00:40
  • 02 - How to use the Codespaces exercise files.mp4
    01:45
  • 01 - Using AI as a pair programmer A practical example.mp4
    02:14
  • 02 - Tools used in this course.mp4
    01:50
  • 03 - A note on how to use ChatGPT.mp4
    04:16
  • 04 - How does AI know how to read and write code.mp4
    01:29
  • 05 - Mental models for AI pair programmers.mp4
    02:05
  • 01 - Start from a prompt.mp4
    05:49
  • 02 - Start with a seed.mp4
    06:06
  • 03 - Accepting suggestions from GitHub Copilot.mp4
    04:23
  • 04 - Helping the AI with pattern recognition.mp4
    05:29
  • 05 - GitHub Copilot is context aware.mp4
    02:50
  • 06 - Surface boilerplates and common patterns.mp4
    06:13
  • 01 - Using ChatGPT to explain code.mp4
    03:00
  • 02 - Using GitHub Copilot Labs to explain code.mp4
    02:23
  • 03 - Using Bing Chat to explain code.mp4
    02:54
  • 04 - Using AI to refactor code.mp4
    02:07
  • 05 - Using AI to generate comments and documentation.mp4
    03:06
  • 06 - Using AI to find and explain errors.mp4
    05:27
  • 07 - Using AI in test-driven development.mp4
    04:28
  • 01 - Asking ChatGPT to build a timer.mp4
    01:55
  • 02 - ChatGPT timer Does it work.mp4
    02:07
  • 03 - Asking ChatGPT to build a typing speed tester.mp4
    03:33
  • 04 - ChatGPT typing speed tester Does it work.mp4
    04:41
  • 05 - Asking ChatGPT to build a one-page portfoilo website.mp4
    03:33
  • 06 - ChatGPT portfolio website Does it work.mp4
    02:48
  • 01 - Further resources.mp4
    01:00
  • Description


    If you’re a programmer, you’re probably curious (and maybe a little apprehensive) about what artificial intelligence can do for your work. In this course, Morten Rand-Hendriksen shows you how you can supercharge your software development with the help of an AI pair programmer. Morten shares practical strategies and hands-on practice on how to leverage AI tools like ChatGPT and GitHub Copilot to increase productivity and write better code. He demonstrates how to employ AI to address common tasks, how different AI tools differ, and offers an understanding of what is possible, how AI tools can fit into your work, and—importantly—where the current limits and guardrails are.

    This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace.

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    Morten Rand-Hendriksen
    Morten Rand-Hendriksen
    Instructor's Courses
    Since joining forces with lynda.com (now LinkedIn Learning) in 2010, I've 60+ published courses on WordPress, front end web design and development, and web standards, reaching hundreds of thousands of viewers from all over the world. I also contribute to the web community as a public speaker, author, educator, web developer, and design philosopher. I help the web make sense by helping people understand and get the most out of the web, and contribute to the debates about ownership and democratization of information, design philosophy, and the open web.
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 27
    • duration 1:28:11
    • English subtitles has
    • Release Date 2023/07/02