AI Coding Assistant Showdown - Augment vs GitHub Copilot
AI Summary
Video Summary
- Introduction
- Presenter: Anan, Solutions Architect at Ogman Code
- Focus: Context awareness and custom-built architecture of Ogman Code for enterprise scalability
- Comparison
- Comparing Ogman Code’s Augment with GitHub Co-pilot
- Augment on the left, Co-pilot on the right
- Workflow Demonstration
- Using a private codebase with over 20,000 files for self-driving cars
- Augment provides a breakdown of the codebase structure and functionality
- Co-pilot requires additional commands to understand the workspace
- Task Example
- Task: Add confidence scoring to a data structure called “image scene” in a block library
- Augment locates the data structure and relevant files quickly
- Co-pilot fails to identify the correct file or data structure
- Completing the Task with Augment
- Augment streams in necessary code changes to add a confidence score
- Smart apply functionality allows for reviewing changes in a diff view
- Augment identifies and helps with rippling changes throughout the codebase
- Demonstrates Augment’s ability to handle complex, private codebases effectively
- Conclusion
- Augment provides speed and quality, especially for large and complex enterprise codebases
Detailed Instructions and URLs
- No specific CLI commands, website URLs, or detailed instructions were provided in the transcript.