TPXimpact DX Tech Handbook
  • DX Tech Handbook
  • Processes
    • Decision making
      • RFC Template
    • Communities of practice
    • Dealing with change
    • AI generated code
    • Guidance on billing for junior developers
    • Our hiring process
    • Job Descriptions
  • Working practices
    • Version control
    • Drupal 9 upgrade
    • Site health check list
  • Best practice
    • Non functional requirements
    • Security updates
    • Browser compatibility and testing
    • Writing good commit messages
    • 🚛Load testing
  • 📕Recommended reading
  • Learning resources
    • Learning Drupal
    • Contentful training
    • Acquia DAM Certification
Powered by GitBook
On this page

Was this helpful?

  1. Processes

AI generated code

Tools like ChatGPT and Github Copilot are very impressive, and can be incredibly powerful when you are trying to solve complex problems or working on concepts that are new to you, but there are some important considerations to take before making serious use of them.

Use it like you might with StackOverflow, but treat any answer as if it has zero upvotes.

Remember, only you are the author of any code that you commit. It's your responsibility to understand your code and be confident in it's operation. If you can't explain how a piece of code works then you shouldn't be checking it in.

Follow these important points when making use of generated code:

  1. Understand the limitations of AI-generated code: It is important for the team to be aware of potential inaccuracies and to thoroughly test and validate all code before using it in production.

  2. Use AI-generated code as a productivity tool, not a replacement: AI-generated code can help developers write code faster, but it should not be used as a replacement for human-written code. It is important to retain the ability to understand and maintain the code.

  3. Have a review process in place: Before incorporating AI-generated code into a project, it should be reviewed and approved by a human developer. This will help to ensure the code meets the quality standards and requirements of the project.

  4. Document the AI-generated code: AI-generated code should be clearly documented, including an explanation of how it was generated and why it was used. This will help future developers understand the code and make maintenance easier.

  5. Continuously monitor and update the AI-generated code: AI-generated code can quickly become outdated as the underlying technologies and best practices change. The team should continuously monitor and update the AI-generated code to ensure it remains accurate and relevant.

It is important to keep in mind that AI-generated code is just a tool and that the best results come from using it in conjunction with human expertise and experience. The ultimate goal should always be to produce high-quality, maintainable, and reliable code that meets the needs of the users.

PreviousDealing with changeNextGuidance on billing for junior developers

Last updated 2 years ago

Was this helpful?