Augment Code - Developer AI for Real World Work



AI Summary

Video Summary

  • The video showcases a comparison between two AI IDE extensions, Augment Code and Cursor with the Deep Seek R1 model.
  • The presenter tests these tools on a repository that is a clone of Anthropic’s CLA artifacts feature.
  • Augment Code is highlighted for its ability to handle real-world work, particularly in large production codebases with thousands of files.
  • The presenter has been using Augment Code since December and appreciates its indexing feature, which keeps the IDE up-to-date with repository changes.
  • A demonstration is provided where the presenter uses Augment Code to:
    • Attempt to solve a bug by filtering out XML “think” tags from a component.
    • Add a feature to wrap “thinking content” in a span with a Tailwind class to make it italic.
    • The process is iterative, and the AI helps refine the solution.
  • Augment Code encourages intentional changes and reading through the code before applying suggestions.
  • Cursor with Deep Seek R1 is then used to address an infinite loop bug in the artifacts panel.
    • The tool searches the codebase and suggests changes based on confidence and relevance.
    • However, the application crashes after applying the suggested changes, indicating a potential bug introduced by Cursor.
  • Returning to Augment Code, the same bug is addressed more efficiently, with the tool quickly finding relevant code and suggesting a fix that resolves the issue.
  • The presenter is impressed with Augment Code’s ability to index and retrieve information from a large codebase effectively.
  • A QA process comparison between Augment Code and Cursor shows Augment Code providing more accurate and relevant responses.
  • The video concludes with a recommendation to try Augment Code, especially for those working in large codebases or teams, noting that it is more expensive than some alternatives but offers a free trial.

Detailed Instructions and Tips (if any)

  • No specific CLI commands, website URLs, or detailed instructions were provided in the transcript.