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Duration 21 hours
Course Outline
Introduction to Agent-Centric Development
- Foundations of autonomous and semi-autonomous agents
- The architectural mindset behind agent-first design
- Scenarios and benefits of utilizing agent-driven workflows
Navigating the Antigravity IDE
- Understanding workspace layout and navigation
- Overview of the editor, browser pane, and terminal
- Configuring the development environment
Constructing Your Initial Agent-Driven Application
- Setting up and initializing projects
- Defining specific agent roles and capabilities
- Executing agents within the development sandbox
Advanced Insights into the Agent Manager
- Overseeing multi-agent lifecycles
- Facilitating collaboration among agents
- Monitoring agent states and activity levels
Agent Utilities: Terminal, Browser, and Execution Context
- Workflows for live debugging
- Utilizing 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 core business logic
- Patterns for persistence, memory, and data handling
Testing, Reliability, and Safety Protocols
- Testing methodologies for agent-centric systems
- Guaranteeing safe and predictable agent behavior
- Implementing error handling and fallback strategies
Deploying Agent-Centric Applications
- Preparing applications for production release
- Exploring deployment options and pipelines
- Monitoring agents post-deployment
Recap and Future Directions
Requirements
- A solid grasp of software development workflows
- Proficiency in either JavaScript or Python
- Comfort with contemporary IDEs
Target Audience
- Software developers
- Full-stack engineers
- Teams focused on AI-native development
