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Duration 21 hours
Course Outline
Introduction to Agent-First Development
- Core concepts of autonomous and semi-autonomous agents
- Adopting an agent-first architectural mindset
- Evaluating the appropriate use cases for agent-driven workflows
Exploring the Antigravity IDE
- Workspace layout, navigation, and organization
- Overview of the editor, browser pane, and terminal
- Configuring the development environment for optimal performance
Building Your First Agent-Driven Application
- Project initialization and setup procedures
- Defining specific agent roles and capabilities
- Executing agents within the live development environment
Deep Dive into the Agent Manager
- Managing the lifecycle of multiple agents
- Coordinating collaboration between agents
- Monitoring agent states and activity logs
Agent Tools: Terminal, Browser, and Execution Environment
- Implementing live debugging workflows
- Utilizing the browser view for agent-led tasks
- Executing agent commands via the terminal interface
Integrating Agents into Application Logic
- Chaining workflows and orchestrating tasks
- Aligning agent behavior with core business logic
- Patterns for persistence, memory management, and data handling
Testing, Reliability, and Safety Considerations
- Developing testing strategies for agent-first systems
- Ensuring agent behavior remains predictable and secure
- Implementing robust error handling and fallback mechanisms
Deploying Agent-First Applications
- Preparing applications for production environments
- Reviewing deployment options and pipeline configurations
- Monitoring agent performance post-deployment
Summary and Next Steps
Requirements
- A solid grasp of standard software development workflows.
- Practical experience working with JavaScript or Python.
- Familiarity with the features and navigation of modern IDEs.
Target Audience
- Software developers.
- Full-stack engineers.
- Teams specializing in AI-native development practices.