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Duration 21 hours
Course Outline
Introduction to Agent-First Development
- Understanding autonomous and semi-autonomous agents
- Adopting an agent-first architectural perspective
- Determining the optimal use cases for agent-driven workflows
Navigating the Antigravity IDE
- Interface layout and navigation
- Overview of the editor, browser pane, and terminal
- Configuring the development environment
Creating Your First Agent-Driven Application
- Setting up and initializing the project
- Establishing agent roles and capabilities
- Executing agents within the development environment
In-Depth Look at the Agent Manager
- Controlling multi-agent lifecycles
- Facilitating agent collaboration
- Monitoring agent activity and status
Agent Tools: Terminal, Browser, and Execution Environment
- Implementing live debugging workflows
- Utilizing the browser view for agent-led tasks
- Running agent commands via the terminal
Integrating Agents into Application Logic
- Chaining workflows and orchestrating tasks
- Aligning agent behavior with business logic
- Patterns for persistence, memory, and data handling
Testing, Reliability, and Safety
- Strategies for testing agent-first systems
- Ensuring predictable and secure agent behavior
- Implementing error handling and fallback mechanisms
Deploying Agent-First Applications
- Preparing applications for production
- Deployment options and pipeline configuration
- Monitoring agents after deployment
Summary and Next Steps
Requirements
- Knowledge of software development workflows
- Proficiency in JavaScript or Python
- Experience with contemporary IDEs
Target Audience
- Software developers
- Full-stack engineers
- AI-native development teams
