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Duration 21 hours
Course Outline
Foundations of Agent-Centric Development
- Principles of autonomous and semi-autonomous agents
- Adopting an agent-first architectural perspective
- Identifying optimal scenarios for agent-driven workflows
Navigating the Antigravity IDE
- Workspace interface and navigation basics
- Overview of the editor, browser pane, and terminal
- Configuring the development environment
Creating Your Initial Agent-Driven Application
- Project initiation and configuration
- Specifying agent roles and capabilities
- Executing agents within the development environment
In-Depth Analysis of the Agent Manager
- Overseeing the lifecycle of multiple agents
- Facilitating collaboration between agents
- Tracking agent activities and status
Agent Utilities: Terminal, Browser, and Execution Settings
- Real-time debugging procedures
- Leveraging the browser view for agent-managed tasks
- Executing agent directives via the terminal
Embedding Agents into Application Logic
- Workflow sequencing and task coordination
- Linking agent actions to business requirements
- Patterns for data retention, memory management, and handling
Quality Assurance, Reliability, and Safety Protocols
- Testing methodologies for agent-centric systems
- Maintaining predictable and secure agent performance
- Implementing error management and contingency measures
Launching Agent-Centric Applications
- Finalizing your application for production release
- Exploring deployment strategies and pipelines
- Monitoring agent performance after deployment
Conclusion and Future Directions
Requirements
- A solid grasp of software development processes
- Proficiency in JavaScript or Python
- Acquaintance with contemporary Integrated Development Environments
Target Audience
- Software Developers
- Full-Stack Engineers
- AI-centric Development Teams
