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Course Outline
Introduction to Agent-First Development
- Core concepts of autonomous and semi-autonomous agents
- The agent-first architectural mindset
- Identifying when and why to adopt agent-driven workflows
Exploring the Antigravity IDE
- Workspace layout and navigation techniques
- Overview of the editor, browser pane, and terminal
- Configuration of the development environment
Building Your First Agent-Driven Application
- Project setup and initialization processes
- Defining agent roles and capabilities
- Running agents within the development environment
Deep Dive into the Agent Manager
- Managing the lifecycles of multiple agents
- Coordinating collaboration between agents
- Monitoring agent activity and states
Agent Tools: Terminal, Browser, and Execution Environment
- Workflows for live debugging
- Leveraging 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 business logic
- Patterns for persistence, memory, and data handling
Testing, Reliability, and Safety Considerations
- Testing strategies tailored for agent-first systems
- Ensuring predictable and secure agent behavior
- Error handling and fallback mechanisms
Deploying Agent-First Applications
- Preparing applications for production environments
- Deployment options and pipeline configurations
- Post-deployment monitoring of agents
Summary and Next Steps
Requirements
- A foundational understanding of software development workflows
- Prior experience with JavaScript or Python
- Familiarity with modern Integrated Development Environments (IDEs)
Target Audience
- Software developers
- Full-stack engineers
- AI-native development teams
21 Hours
