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Duration 21 hours
Course Outline
Foundations of Agent-Centric Development
- Understanding autonomous versus semi-autonomous agent behaviors
- Adopting the agent-first architectural philosophy
- Identifying scenarios and benefits of agent-driven workflows
Navigating the Antigravity IDE
- Understanding workspace structure and navigation
- Overview of the editor, browser pane, and terminal components
- Configuring the development environment
Creating Your Initial Agent-Powered Application
- Setting up and initializing new projects
- Defining specific agent roles and functional capabilities
- Executing agents within the development sandbox
In-Depth Look at the Agent Manager
- Controlling multi-agent lifecycles
- Facilitating agent-to-agent collaboration
- Tracking agent status and activity logs
Agent Utilities: Terminal, Browser, and Execution Context
- Implementing live debugging procedures
- Utilizing the browser view for agent-managed tasks
- Running agent instructions via the terminal
Embedding Agents into Core Application Logic
- Chaining workflows and orchestrating complex tasks
- Aligning agent actions with core business logic
- Applying patterns for persistence, memory, and data management
Testing, Reliability, and Security Protocols
- Developing testing strategies for agent-centric architectures
- Guaranteeing predictable and secure agent behavior
- Implementing error handling and fallback systems
Launching Agent-Centric Applications
- Readying your application for production environments
- Exploring deployment strategies and CI/CD pipelines
- Monitoring agent performance post-deployment
Key Takeaways and Future Directions
Requirements
- A solid grasp of standard software development workflows
- Proficiency in JavaScript or Python
- Competence with contemporary IDEs
Target Audience
- Software engineers
- Full-stack developers
- Teams focused on AI-native development