Next Edit by Augment Code The Future of Code Completion is Here
AI Summary
Summary of the Video on Next Edit and Augment Codes
- Introduction to Augment
- Focus on integrating session IDs into applications using Next Edit.
- Previous manual updates required multiple code changes across the codebase.
- Next Edit Overview
- Next Edit uses a specially trained model to suggest relevant code updates based on recent editing history.
- Unlike other tools, it provides suggestions across multiple files without manual cursor positioning.
- Augment in VS Code
- Install Augment from the VS Code extension marketplace.
- It creates a natural language pane to index repositories.
- Use Case Example
- Adding a session ID triggers suggestions for updating functions in the codebase.
- Accept changes with key bindings, improving efficiency.
- Understanding Codebase Context
- Augment identifies relevant context for potential updates across large repositories.
- Suggestions can also guide users onboarding onto projects.
- AI and Editing Challenges
- Discussed the challenges in discerning developers’ intentions and minimizing biases in the model.
- Solutions focus on simulating editing scenarios and understanding coding workflows.
- Fast localization and scalable suggestions for large codebases are emphasized.
- Future Improvements
- Plans to enhance support for larger-scale editing and deeper integrations with chat functionalities.
- Conclusion
- Encouragement to try out Augment and Next Edit for improved coding efficiency.