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Duration 21 hours
Course Outline
Fundamentals of Agent-First Development
- Understanding autonomous and semi-autonomous agent concepts
- Adopting an agent-first architectural perspective
- Identifying scenarios where agent-driven workflows are beneficial
Navigating the Antigravity IDE
- Interface layout and navigation controls
- Overview of the editor, browser pane, and terminal
- Configuring the development environment
Developing Your Initial Agent-Driven Application
- Initializing projects and setting up the workspace
- Defining specific agent roles and capabilities
- Executing agents within the development environment
Advanced Usage of the Agent Manager
- Overseeing multi-agent lifecycles
- Facilitating collaboration between agents
- Tracking agent activity and operational states
Agent Utilities: Terminal, Browser, and Execution Contexts
- Implementing live debugging procedures
- Leveraging the browser view for agent-directed tasks
- Running agent commands via the terminal
Embedding Agents into Application Logic
- Chaining workflows and orchestrating tasks
- Aligning agent behavior with business logic
- Handling persistence, memory, and data management
Assessing Testing, Reliability, and Safety
- Employing testing strategies for agent-first architectures
- Guaranteeing safe and predictable agent actions
- Implementing error handling and fallback protocols
Rolling Out Agent-First Applications
- Readying your application for production use
- Exploring deployment methods and pipelines
- Monitoring agents post-deployment
Conclusion and Future Directions
Requirements
- A solid grasp of software development processes
- Proficiency in either JavaScript or Python
- Knowledge of contemporary Integrated Development Environments (IDEs)
Target Audience
- Software developers
- Full-stack engineers
- Teams specializing in AI-native development
