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Course Outline
Fundamentals of Agent-Centric Development
- Understanding autonomous and semi-autonomous agent concepts
- Adopting an agent-first architectural mindset
- Identifying scenarios suitable for agent-driven workflows
Navigating the Antigravity IDE
- Understanding workspace layout and navigation controls
- Overview of the editor, browser pane, and terminal features
- Configuring the development environment
Developing Your First Agent-Driven Application
- Setting up and initializing new projects
- Defining specific agent roles and capabilities
- Executing agents within the development context
Advanced Features of the Agent Manager
- Overseeing multi-agent lifecycle management
- Facilitating effective collaboration between agents
- Monitoring agent states and activities in real-time
Agent Utilities: Terminal, Browser, and Execution Context
- Implementing live debugging workflows
- Utilizing the browser view for agent-initiated tasks
- Executing agent commands via the terminal interface
Integrating Agents into Core Application Logic
- Chaining workflows and orchestrating complex tasks
- Aligning agent behavior with specific business logic
- Implementing persistence, memory, and data-handling patterns
Ensuring Testing, Reliability, and Safety
- Applying testing strategies specific to agent-first systems
- Guaranteeing predictable and secure agent behavior
- Implementing robust error handling and fallback mechanisms
Deploying Agent-Centric Applications
- Preparing applications for production environments
- Evaluating deployment options and CI/CD pipelines
- Conducting post-deployment agent monitoring
Conclusion and Future Directions
Requirements
- Proficiency in software development workflows
- Practical experience with JavaScript or Python
- Working knowledge of modern IDEs
Target Audience
- Software developers
- Full-stack engineers
- AI-native development teams
21 Hours