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Duration 21 hours
Course Outline
Foundations of Agent-Centric Development
- Principles of autonomous and semi-autonomous agents
- Adopting an agent-centric architectural perspective
- Identifying optimal scenarios for agent-driven processes
Navigating the Antigravity IDE
- Interface layout and navigation controls
- Overview of the editor, browser pane, and terminal
- Configuring the development workspace
Constructing Your Initial Agent-Driven Application
- Project initialization and setup procedures
- Specifying agent roles and functional capabilities
- Executing agents within the development context
Advanced Agent Manager Operations
- Oversight of multi-agent lifecycles
- Synchronizing inter-agent collaboration
- Tracking agent status and operational states
Agent Utilities: Terminal, Browser, and Execution Context
- Implementing live debugging techniques
- Leveraging the browser view for agent-assisted tasks
- Executing agent instructions via the terminal
Embedding Agents into Core Application Logic
- Chaining workflows and orchestrating tasks
- Aligning agent actions with business requirements
- Patterns for persistence, memory, and data management
Testing, Stability, and Security Protocols
- Validating strategies for agent-centric systems
- Guaranteeing consistent and secure agent operations
- Implementing error management and contingency plans
Releasing Agent-Centric Applications
- Preparing applications for production environments
- Exploring deployment strategies and CI/CD pipelines
- Monitoring agent performance post-release
Conclusion and Future Directions
Requirements
- Proficiency in standard software development lifecycles
- Practical experience with JavaScript or Python
- Competency with contemporary IDEs
Target Audience
- Software Developers
- Full-Stack Engineers
- Teams focused on AI-native development
