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Course Outline
Introduction to Agent-First Development
- Concepts of autonomous and semi-autonomous agents.
- Adopting the agent-first architecture mindset.
- Identifying when and why to utilize agent-driven workflows.
Exploring the Antigravity IDE
- Workspace layout and navigation techniques.
- 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 capabilities.
- Running agents within the development environment.
Deep Dive into 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.
- Utilizing the browser view for agent-led tasks.
- Executing agent commands via the terminal.
Integrating Agents into Application Logic
- Workflow chaining and task orchestration.
- Connecting agent behavior to 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.
- 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 understanding of software development workflows.
- Prior experience with JavaScript or Python.
- Familiarity with modern Integrated Development Environments (IDEs).
Target Audience
- Software developers.
- Full-stack engineers.
- AI-native development teams.
21 Hours
