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Duration 21 hours
Course Outline
Introduction to Agent-Centric Development
- Understanding autonomous and semi-autonomous agent concepts
- Adopting an agent-first architectural philosophy
- Identifying optimal scenarios for agent-driven workflows
Discovering the Antigravity IDE
- Navigating the workspace layout
- Overview of the editor, browser pane, and terminal interfaces
- Configuring your development environment
Creating Your First Agent-Driven Application
- Initial project setup and configuration
- Specifying agent roles and functional capabilities
- Launching agents within the development sandbox
In-Depth Look at the Agent Manager
- Oversight of multi-agent lifecycle management
- Facilitating collaboration between agents
- Monitoring agent states and operational activity
Agent Utilities: Terminal, Browser, and Execution Context
- Implementing live debugging techniques
- Leveraging the browser view for agent-directed tasks
- Executing agent commands via the terminal interface
Integrating Agents into Core Application Logic
- Chaining workflows and orchestrating tasks
- Aligning agent actions with business logic requirements
- Implementing patterns for persistence, memory management, and data handling
Testing, Reliability, and Security Protocols
- Strategies for testing agent-centric systems
- Safeguarding predictable and secure agent behavior
- Establishing robust error handling and fallback solutions
Deploying Agent-Centric Solutions
- Preparing applications for production environments
- Exploring deployment strategies and CI/CD pipelines
- Monitoring agent performance post-deployment
Recap and Future Recommendations
Requirements
- A solid grasp of standard software development lifecycles
- Proficiency in JavaScript or Python
- Comfort with contemporary Integrated Development Environments (IDEs)
Target Audience
- Software developers
- Full-stack engineers
- Development teams focused on AI-native solutions