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Course Outline
Introduction to Agent-First Development
- Core concepts of autonomous and semi-autonomous agents
- The mindset behind agent-first architecture
- Strategic timing and rationale for adopting agent-driven workflows
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
- Project setup and initialization processes
- 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 collaborative agent interactions
- Monitoring agent activity and status states
Agent Tools: Terminal, Browser, and Execution Environment
- Implementing 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 techniques
- Aligning agent behavior with business logic
- Patterns for persistence, memory, and data handling
Testing, Reliability, and Safety Considerations
- Effective testing strategies for agent-first systems
- Ensuring predictable and secure agent behavior
- Implementing error handling and fallback mechanisms
Deploying Agent-First Applications
- Preparing applications for production environments
- Exploring deployment options and pipelines
- Monitoring agents post-deployment
Summary and Next Steps
Requirements
- A solid understanding of software development workflows
- Proficiency with JavaScript or Python
- Familiarity with modern Integrated Development Environments (IDEs)
Target Audience
- Software developers
- Full-stack engineers
- AI-native development teams
21 Hours