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Duration 21 hours
Course Outline
Foundations of Agent-Centric Development
- Understanding autonomous and semi-autonomous agent concepts
- Adopting an agent-centric architectural perspective
- Determining the timing and rationale for employing agent-driven workflows
Discovering the Antigravity IDE
- Overview of workspace structure and navigation
- Introduction to the editor, browser panel, and terminal
- Configuring the development environment
Creating Your First Agent-Driven Application
- Initializing and setting up the project
- Specifying agent roles and capabilities
- Executing agents within the development sandbox
In-Depth Look at the Agent Manager
- Controlling multi-agent life cycles
- Facilitating collaboration between agents
- Tracking agent status and activity
Agent Utilities: Terminal, Browser, and Runtime Environment
- Live debugging processes
- Utilizing the browser interface for agent-led operations
- Issuing agent commands via the terminal
Embedding Agents into Application Logic
- Chaining workflows and orchestrating tasks
- Aligning agent behavior with core business logic
- Patterns for persistence, memory management, and data processing
Testing, Reliability, and Safety Protocols
- Testing methodologies for agent-centric systems
- Guaranteeing predictable and secure agent actions
- Implementing error handling and fallback strategies
Deploying Agent-Centric Applications
- Readying your application for production
- Deployment pathways and pipeline strategies
- Monitoring agents post-deployment
Recap and Future Directions
Requirements
- A solid grasp of software development processes
- Proficiency in JavaScript or Python
- Comfortable using contemporary Integrated Development Environments (IDEs)
Target Audience
- Software engineers
- Full-stack developers
- Teams focused on AI-native development
