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Duration 21 hours
Course Outline
Foundations of Agent-First Development
- Understanding autonomous and semi-autonomous agent concepts
- Adopting the agent-first architectural approach
- Determining the optimal scenarios for agent-driven workflows
Navigating the Antigravity IDE
- Workspace structure and navigation basics
- Overview of the editor, browser pane, and terminal
- Configuring the development environment
Creating Your Initial Agent-Driven Application
- Project initialization and setup
- Defining agent roles and functional capabilities
- Executing agents within the development environment
Advanced Exploration of the Agent Manager
- Overseeing multi-agent lifecycles
- Facilitating agent-to-agent collaboration
- Tracking agent activity and status changes
Agent Utilities: Terminal, Browser, and Execution Context
- Implementing live debugging workflows
- Leveraging the browser view for agent-directed tasks
- Running agent commands via the terminal
Weaving Agents into Application Logic
- Chaining workflows and orchestrating tasks
- Aligning agent actions with business logic
- Managing persistence, memory, and data processing patterns
Testing, Reliability, and Safety Protocols
- Formulating testing strategies for agent-first systems
- Guaranteeing predictable and secure agent behavior
- Implementing error handling and fallback strategies
Launching Agent-First Applications
- Preparing applications for production environments
- Evaluating deployment options and pipelines
- Monitoring agent performance post-deployment
Conclusion and Future Directions
Requirements
- A solid grasp of software development workflows
- Proficiency in JavaScript or Python
- Experience with contemporary IDEs
Target Audience
- Software developers
- Full-stack engineers
- AI-centric development teams