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Duration 21 hours
Course Outline
Introduction to Agent-First Development
- Understanding autonomous and semi-autonomous agent concepts
- Adopting an agent-first architectural mindset
- Identifying scenarios where agent-driven workflows are beneficial
Exploring the Antigravity IDE
- Understanding workspace layout and navigation
- Overview of the editor, browser pane, and terminal
- Configuring the development environment
Building Your First Agent-Driven Application
- Setting up and initializing projects
- Defining agent roles and specific capabilities
- Executing agents within the development environment
Deep Dive into the Agent Manager
- Managing the lifecycle of multiple agents
- Coordinating collaboration between agents
- Monitoring agent activity and states
Agent Tools: Terminal, Browser, and Execution Environment
- Live debugging workflows
- Utilizing the browser view for agent-led tasks
- Executing agent commands via the terminal
Integrating Agents into Application Logic
- Workflow chaining and task orchestration
- Aligning agent behavior with business logic
- Patterns for persistence, memory, and data handling
Testing, Reliability, and Safety Considerations
- Testing strategies specific to agent-first systems
- Ensuring predictable and safe agent behavior
- Implementing error handling and fallback mechanisms
Deploying Agent-First Applications
- Preparing applications for production environments
- Deployment options and pipeline management
- Post-deployment agent monitoring
Summary and Next Steps
Requirements
- A solid grasp of software development workflows
- Proficiency in JavaScript or Python
- Comfort with modern IDEs
Target Audience
- Software developers
- Full-stack engineers
- Teams adopting AI-native development practices
