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Duration 21 hours
Course Outline
Overview of Agent-First Development
- Understanding autonomous and semi-autonomous agents
- Adopting an agent-first architectural perspective
- Identifying scenarios for agent-driven workflows
Navigating the Antigravity IDE
- Workspace organisation and navigation
- Overview of the editor, browser pane, and terminal
- Configuring the development environment
Creating Your First Agent-Driven Application
- Initialising projects and setup
- Specifying agent roles and capabilities
- Executing agents within the development environment
In-Depth Look at the Agent Manager
- Controlling multi-agent lifecycles
- Facilitating agent collaboration
- Tracking agent activity and status
Agent Utilities: Terminal, Browser, and Execution Environment
- Live debugging processes
- Utilising the browser view for agent-led tasks
- Executing agent commands via the terminal
Embedding Agents in Application Logic
- Orchestrating workflows and tasks
- Aligning agent behaviour with business logic
- Patterns for persistence, memory, and data management
Testing, Reliability, and Safety Protocols
- Approaches to testing agent-first systems
- Safeguarding predictable and secure agent behaviour
- Managing errors and implementing fallbacks
Rolling Out Agent-First Applications
- Preparing applications for production
- Deployment strategies and pipelines
- Monitoring agents post-deployment
Conclusion and Future Steps
Requirements
- A solid grasp of software development workflows
- Proficiency in JavaScript or Python
- Knowledge of contemporary IDEs
Target Audience
- Software developers
- Full-stack engineers
- Teams focused on AI-native development
