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Duration 21 hours
Course Outline
Introduction to Agent-First Development
- The concept of autonomous and semi-autonomous agents
- Adopting an agent-first architectural perspective
- Determining the appropriate use cases for agent-driven workflows
Exploring the Antigravity IDE
- Workspace layout and navigation techniques
- Overview of the editor, browser pane, and terminal
- Configuring the development environment
Building Your First Agent-Driven Application
- Project setup and initialization processes
- Defining specific agent roles and capabilities
- Executing agents within the development environment
Deep Dive into the Agent Manager
- Managing the lifecycle of multiple agents
- Orchestrating collaboration between agents
- Monitoring agent activity and state changes
Agent Tools: Terminal, Browser, and Execution Environment
- Implementing live debugging workflows
- Leveraging the browser view for agent-led tasks
- Executing agent commands via the terminal
Integrating Agents into Application Logic
- Chaining workflows and orchestrating tasks
- Aligning agent behavior with business logic
- Handling persistence, memory, and data patterns
Testing, Reliability, and Safety Considerations
- 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 environments
- Exploring deployment options and pipelines
- Monitoring agents post-deployment
Summary and Next Steps
Requirements
- A solid understanding of software development workflows
- Practical experience with JavaScript or Python
- Familiarity with modern IDEs
Target Audience
- Software developers
- Full-stack engineers
- AI-native development teams