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Duration 21 hours
Course Outline
Introduction to Agent-First Development
- Understanding autonomous and semi-autonomous agents
- Adopting an agent-first architectural mindset
- Determining the appropriate timing and rationale for agent-driven workflows
Exploring the Antigravity IDE
- Workspace layout and navigation methods
- Overview of the editor, browser pane, and terminal
- Configuring the development environment
Building Your First Agent-Driven Application
- Project setup and initialisation
- Defining agent roles and capabilities
- Executing agents within the development environment
In-Depth Analysis of the Agent Manager
- Managing multi-agent lifecycles
- Coordinating collaboration between agents
- Monitoring agent activity and states
Agent Tools: Terminal, Browser, and Execution Environment
- Live debugging workflows
- Utilising the browser view for agent-led tasks
- Executing agent commands via the terminal
Integrating Agents into Application Logic
- Workflow chaining and task orchestration
- Linking agent behaviour to business logic
- Patterns for persistence, memory, and data handling
Testing, Reliability, and Safety Considerations
- Testing strategies for agent-first systems
- Ensuring predictable and secure agent behaviour
- Error handling and fallback mechanisms
Deploying Agent-First Applications
- Preparing your application for production
- Deployment options and pipelines
- Post-deployment agent monitoring
Summary and Next Steps
Requirements
- A solid grasp of software development workflows
- Proficiency in JavaScript or Python
- Familiarity with modern IDEs
Target Audience
- Software developers
- Full-stack engineers
- AI-native development teams
