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Duration 21 hours
Course Outline
Introduction to Agent-First Development
- Understanding autonomous and semi-autonomous agent concepts
- Adopting the agent-first architectural mindset
- Evaluating when and why to implement agent-driven workflows
Exploring the Antigravity IDE
- Workspace layout and navigation strategies
- Overview of the editor, browser pane, and terminal
- Configuring the development environment
Building Your First Agent-Driven Application
- Project setup and initialization procedures
- Defining specific agent roles and capabilities
- Executing agents within the development environment
Deep Dive into the Agent Manager
- Managing multi-agent lifecycles
- Coordinating collaboration between agents
- Monitoring agent activity and status states
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
Integrating Agents into Application Logic
- Workflow chaining and task orchestration
- Linking agent behavior to core business logic
- Patterns for persistence, memory, and data handling
Testing, Reliability, and Safety Considerations
- Testing strategies for agent-first systems
- Ensuring predictable and safe agent behavior
- Error handling and fallback mechanisms
Deploying Agent-First Applications
- Preparing applications for production environments
- Deployment options and CI/CD pipelines
- Post-deployment agent monitoring
Summary and Next Steps
Requirements
- A solid understanding of software development workflows
- Proficiency in JavaScript or Python
- Familiarity with modern IDEs
Audience
- Software developers
- Full-stack engineers
- AI-native development teams
