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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
- Evaluating the timing and rationale for agent-driven processes
Navigating the Antigravity IDE
- Interface layout and navigation techniques
- Overview of the editor, browser pane, and terminal
- Configuring the development environment
Developing Your Initial Agent-Powered Application
- Project configuration and startup
- Establishing agent roles and functional capacities
- Executing agents within the development space
In-Depth Analysis of the Agent Manager
- Orchestrating multi-agent lifecycles
- Facilitating collaborative agent interactions
- Tracking agent activity and status
Agent Utilities: Terminal, Browser, and Execution Context
- Real-time debugging processes
- Leveraging the browser view for agent-managed tasks
- Executing agent directives via the terminal
Embedding Agents into Application Architecture
- Chaining workflows and orchestrating tasks
- Aligning agent behaviors with business logic
- Strategies for persistence, memory, and data management
Testing, Reliability, and Security Protocols
- Approaches to testing agent-centric systems
- Safeguarding predictable and secure agent operations
- Implementing error handling and recovery strategies
Launching Agent-Centric Applications
- Preparing applications for production environments
- Exploring deployment methods and CI/CD pipelines
- Monitoring agents post-deployment
Conclusion and Future Directions
Requirements
- Knowledge of standard software development workflows
- Proficiency in JavaScript or Python
- Experience with contemporary IDEs
Intended Audience
- Software developers
- Full-stack engineers
- AI-native engineering teams
