Augment Agent The first AI Agent built for professional software engineers and large codebases
AI Summary
Video Summary: Advanced Coding Agent - Augment
Highlights:
- Introduction to Augment Agent, designed for real-world engineering problems.
- Unique context engine for understanding large codebases, providing relevant context during interactions.
- Proprietary method for chunking code enables quick retrieval for AI interactions.
Key Features:
- Agent Release:
- Open source with S bench verified Benchmark.
- Combines Claw 3.7 and O1 for top performance.
- Contextual Memories:
- Remembers and updates work within conversations to enhance generated code quality.
- Integration with Tools:
- Works with GitHub, Linear, Notion, Confluence, and Jira.
- Supports creating branches, committing code, opening PRs, reading issues, and updating statuses.
- 200k Token Context Window:
- Allows passing extensive context in requests.
- Terminal Command Execution:
- Executes terminal commands (install packages, start servers, etc.).
- Auto Mode:
- Automates changes without user approval.
Best Practices for Using AI Coding Agents:
- Provide keywords (file names, function names) to improve context.
- Give positive feedback to enhance the agent’s responses.
- New developer tier offers unlimited requests compared to limited requests in other tools.
- Community plan available with up to 50 requests per month.
Getting Started:
- Agent supported in VS Code and JetBrains - install from the marketplace.
- Index your repository for optimal performance when starting a project.
- Demonstration of creating navigation, server start-up, and implementing changes.
Conclusion:
- Encouragement to try Augment and share thoughts in comments.