Introducing the first agent for large-scale software development
AI Summary
Augment Agent Overview
- Introduction by Guy from Augment Code, with V discussing the engineering aspects.
- First AI agent designed for developers managing complex codebases.
Key Features
- Memories: Agent learns and adapts to developer preferences.
- Code Checkpoints: Allows rollback to previous workspace versions.
- Native Tool Integrations: Expand context for the agent with a single click.
- Context Engine: Offers a real-time view of the repository during complex tasks.
Benefits for Developers
- Specifically designed to aid in large-scale software development, improving workflows around migration, testing, and internal tool building.
- Early testing shows significant improvements and task-solving capabilities compared to other agents.
Future Developments
- Focus on allowing developers to control multiple agents parallelly.
Demo Highlights by Chris
- Demonstrated turning a GitHub issue into a pull request:
- Agent retrieves issue and creates an implementation plan.
- Edits files and runs necessary commands (e.g., for migrations).
- Reviews code changes file by file.
- Commits code and opens a pull request for team review.
Integration and Quality
- Available in both VS Code and JetBrains IDEs.
- Emphasis on maintaining quality through context awareness and integration with other tools like Linear, GitHub, Notion, Confluence, and Jira.
Conclusion
- Available now in trial and paid versions, with encouragement for developers to explore and build using Augment Agents.