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Duration 21 hours
Course Outline
Introduction to Agent-First Development
- Understanding autonomous and semi-autonomous agent concepts
- Adopting an agent-first architecture mindset
- Identifying when and why to utilize 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
- Setting up and initializing the project
- Defining specific agent roles and capabilities
- Executing 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
- Implementing live debugging workflows
- Utilizing the browser view for agent-led tasks
- Executing agent commands via the terminal
Integrating Agents into Application Logic
- Chaining workflows and orchestrating tasks
- Linking agent behavior to 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
- Implementing error handling and fallback mechanisms
Deploying Agent-First Applications
- Preparing applications for production use
- Exploring deployment options and pipelines
- Conducting post-deployment agent monitoring
Summary and Next Steps
Requirements
- A solid grasp of software development workflows
- Proficiency with JavaScript or Python
- Comfort with modern IDEs
Audience
- Software developers
- Full-stack engineers
- AI-native development teams
