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Duration 21 hours
Course Outline
Introduction to Agent-Centric Development
- Foundational concepts of autonomous and semi-autonomous agents
- Adopting an agent-first architectural philosophy
- Strategic timing and rationale for agent-driven workflows
Navigating the Antigravity IDE
- Workspace architecture and intuitive navigation
- Overview of the editor, browser pane, and terminal components
- Configuring the optimal development environment
Developing Your First Agent-Driven Application
- Project initialization and structural setup
- Defining specific agent roles and functional capabilities
- Executing agents within the local development context
Advanced Usage of the Agent Manager
- Oversight of multi-agent lifecycle stages
- Facilitating seamless collaboration between agents
- Real-time monitoring of agent activity and status
Agent Utilities: Terminal, Browser, and Execution Context
- Implementing live debugging strategies
- Leveraging the browser interface for agent-directed tasks
- Executing agent commands via the terminal interface
Integrating Agents into Application Logic
- Workflow chaining and complex task orchestration
- Aligning agent behavior with core business logic
- Implementing persistence, memory, and data-handling patterns
Testing, Reliability, and Security Standards
- Effective testing methodologies for agent-centric systems
- Guaranteeing predictable and safe agent operations
- Robust error handling and fallback mechanisms
Deploying Agent-Centric Applications
- Preparing applications for live production environments
- Exploring deployment strategies and CI/CD pipelines
- Post-deployment monitoring of agent performance
Conclusion and Future Roadmap
Requirements
- Proficiency in standard software development workflows
- Practical experience with JavaScript or Python
- Comfort with contemporary Integrated Development Environments (IDEs)
Target Audience
- Software Developers
- Full-stack Engineers
- Teams focused on AI-native development