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Course Outline
Introduction to Agent-First Development
- Concepts of autonomous and semi-autonomous agents
- Adopting the agent-first architecture mindset
- Determining when and why to implement agent-driven workflows
Exploring the Antigravity IDE
- Navigating the workspace layout
- Overview of the editor, browser pane, and terminal
- Configuring the development environment
Building Your First Agent-Driven Application
- Project setup and initialization
- Defining agent roles and capabilities
- Running agents within the development environment
Deep Dive into the Agent Manager
- Managing multi-agent lifecycles
- Coordinating collaboration among agents
- Monitoring agent activity and states
Agent Tools: Terminal, Browser, and Execution Environment
- 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
- Aligning agent behavior with 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 your application for production
- Deployment options and pipelines
- Post-deployment monitoring of agents
Summary and Next Steps
Requirements
- Knowledge of software development workflows
- Experience with JavaScript or Python
- Familiarity with modern Integrated Development Environments (IDEs)
Audience
- Software developers
- Full-stack engineers
- AI-native development teams
21 Hours
