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Duration 21 hours
Course Outline
Foundations of Agent-Centric Development
- Understanding autonomous and semi-autonomous agent concepts
- Adopting an agent-first architectural perspective
- Evaluating the timing and rationale for agent-driven workflows
Navigation in the Antigravity IDE
- Understanding the workspace layout and navigation tools
- Overview of the editor, browser pane, and terminal features
- Configuring the development environment
Creating Your First Agent-Powered Application
- Initial project setup and configuration
- Defining specific agent roles and their capabilities
- Executing agents within the development sandbox
In-Depth Look at the Agent Manager
- Managing the lifecycle of multiple agents
- Facilitating collaboration between agents
- Tracking agent activity and status states
Agent Utilities: Terminal, Browser, and Runtime Environment
- Implementing live debugging strategies
- Leveraging the browser view for agent-directed tasks
- Executing agent instructions via the terminal interface
Embedding Agents into Application Logic
- Orchestrating workflows and chaining tasks
- Aligning agent actions with business rules
- Implementing patterns for persistence, memory, and data management
Ensuring Testing, Reliability, and Safety
- Strategies for testing agent-centric systems
- Safeguarding predictable and secure agent behavior
- Designing error handling and recovery protocols
Releasing Agent-Centric Applications
- Readying applications for live production use
- Reviewing deployment pathways and pipelines
- Monitoring agent performance post-release
Recap and Future Directions
Requirements
- A solid grasp of software development lifecycles
- Proficiency in either JavaScript or Python
- Comfort with using contemporary IDEs
Target Audience
- Software Developers
- Full-Stack Engineers
- AI-Native Development Teams