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Duration 21 hours
Course Outline
Foundations of Agent-Centric Development
- Principles of autonomous and semi-autonomous agents
- Adopting an agent-first architectural approach
- Strategic applications of agent-driven workflows
Navigating the Antigravity IDE
- Understanding workspace structure and navigation
- Overview of the editor, browser pane, and terminal
- Setting up the development environment
Constructing Initial Agent-Driven Applications
- Initializing projects and configurations
- Specifying agent roles and functional capabilities
- Executing agents within the development context
In-Depth Look at the Agent Manager
- Controlling multi-agent lifecycles
- Facilitating agent cooperation and coordination
- Observing agent performance and status
Agent Utilities: Terminal, Browser, and Runtime
- Real-time debugging procedures
- Leveraging the browser view for agent-initiated tasks
- Issuing agent commands via the terminal
Embedding Agents into Application Logic
- Chaining workflows and orchestrating tasks
- Aligning agent actions with business requirements
- Implementing persistence, memory, and data management patterns
Quality Assurance, Reliability, and Security
- Validation methods for agent-centric systems
- Safeguarding predictable and secure agent operations
- Managing errors and implementing recovery strategies
Rolling Out Agent-First Applications
- Optimizing applications for production environments
- Exploring deployment strategies and CI/CD pipelines
- Monitoring agent behavior post-launch
Wrap-up and Future Directions
Requirements
- Comprehension of software development lifecycles
- Proficiency in JavaScript or Python
- Experience with contemporary IDEs
Target Audience
- Software engineers
- Full-stack developers
- Teams focused on AI-native development
