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Duration 21 hours
Course Outline
Foundations of Agent-Centric Development
- Principles of autonomous versus semi-autonomous agents
- Adopting an agent-first architectural perspective
- Evaluating the optimal scenarios for agent-driven workflows
Navigating the Antigravity IDE
- Workspace configuration and interface navigation
- Overview of the editor, browser pane, and terminal
- Configuring the development environment
Constructing Your Initial Agent-Driven Application
- Project initialization and setup
- Specifying agent roles and functional capabilities
- Executing agents within the development context
In-Depth Analysis of the Agent Manager
- Overseeing multi-agent lifecycle management
- Facilitating seamless agent collaboration
- Tracking agent performance and state transitions
Agent Utilities: Terminal, Browser, and Execution Context
- Real-time debugging procedures
- Leveraging the browser view for agent-initiated tasks
- Executing agent directives via the terminal
Embedding Agents into Application Logic
- Workflow chaining and task coordination
- Mapping agent actions to core business logic
- Patterns for persistence, memory, and data processing
Testing, Reliability, and Security Protocols
- Strategies for testing agent-centric systems
- Guaranteeing consistent and secure agent operations
- Implementing robust error handling and fallback solutions
Deploying Agent-Centric Applications
- Preparing applications for production environments
- Deployment strategies and pipeline configurations
- Ongoing agent monitoring post-deployment
Recap and Future Directions
Requirements
- A solid grasp of standard software development lifecycle workflows
- Proficiency in JavaScript or Python
- Competency with contemporary IDEs
Target Audience
- Software engineers
- Full-stack developers
- Development teams adopting AI-native methodologies