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Duration 21 hours
Course Outline
Fundamentals of Agent-Centric Development
- Understanding autonomous versus semi-autonomous agent behaviors
- Adopting an agent-first architectural perspective
- Identifying optimal scenarios for agent-driven workflows
Navigating the Antigravity IDE
- Interface layout and efficient navigation techniques
- Overview of the editor, browser pane, and terminal functionalities
- Configuring your optimal development environment
Constructing Your Initial Agent-Driven Application
- Establishing the project structure and initialization
- Specifying agent roles and defining their capabilities
- Launching agents within the development sandbox
In-Depth Analysis of the Agent Manager
- Oversight of multi-agent lifecycle management
- Facilitating collaboration between multiple agents
- Tracking agent states and monitoring activity
Agent Utilities: Terminal, Browser, and Execution Context
- Implementing live debugging workflows
- Leveraging the browser interface for agent-led operations
- Dispatching agent commands via the terminal
Embedding Agents into Core Application Logic
- Chaining workflows and orchestrating complex tasks
- Aligning agent actions with core business logic
- Implementing persistence, memory retention, and data management strategies
Quality Assurance, Reliability, and Safety Protocols
- Developing testing frameworks for agent-first architectures
- Guaranteeing predictable and secure agent operations
- Designing robust error handling and fallback solutions
Rolling Out Agent-Centric Applications
- Optimizing applications for production environments
- Evaluating deployment strategies and CI/CD pipelines
- Implementing continuous post-deployment agent monitoring
Wrap-Up and Future Trajectory
Requirements
- Solid grasp of standard software development lifecycle processes
- Practical experience with JavaScript or Python programming
- Comfortable using contemporary Integrated Development Environments (IDEs)
Target Audience
- Software engineers
- Full-stack developers
- Teams focused on AI-native development practices