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Preview: @bpascazio 10 total contributions
@bpascazio

10 total contributions

Published May 15, 2023β€’Updated May 16, 2023

Generative coding is the use of Generative AI (GenAI) to assist in software development. It was one of the first applications of Generative AI technology to be commercialized.

  • Ready to dive into the world of Generative AI? Learn how ChatGPT works, how to use ChatGPT in your everyday life, and how to write effective ChatGPT prompts.
    • Beginner Friendly.
      1 hour1 hour
  • Machine Learning/AI Engineers build end-to-end ML applications and power many of the apps we use every day. They work in Python, Git, & ML.
    • Includes 7 CoursesIncludes 7 Courses
    • With CertificateWith Certificate
    • Intermediate.
      50 hours50 hours

Code

Generative AI is at an early stage of development. It often yields impressive, but not perfect results. Generally, the most productive workflows use the generated output as a starting point, and then includes further reviews and improvements. For example, GitHub has released Copilot X which acts as an AI-paired programmer. Some features include:

  • Code completion.
  • Chat ability that can explain what the code does.
  • Ability to generate unit tests.
  • Answer questions based on existing documentation such as MDN; a major open source web technology documentation site.
  • Voice coding.
  • Fill-in-the-text parts of pull requests; for example the summary and description.

GenAI for coding offers many future possibilities. It’s showing promise in many areas such as writing functional code blocks, building user interfaces, and even connecting different systems by mapping fields and values. Some other uses include:

  • Bug fixing.
  • Code refactoring.
  • Style fixing.
  • Web site creation.
  • Creating fast prototypes.

All contributors

Learn AI on Codecademy

  • Ready to dive into the world of Generative AI? Learn how ChatGPT works, how to use ChatGPT in your everyday life, and how to write effective ChatGPT prompts.
    • Beginner Friendly.
      1 hour1 hour
  • Machine Learning/AI Engineers build end-to-end ML applications and power many of the apps we use every day. They work in Python, Git, & ML.
    • Includes 7 CoursesIncludes 7 Courses
    • With CertificateWith Certificate
    • Intermediate.
      50 hours50 hours