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Duration 21 hours
Course Outline
Foundations of Agent-Centric Development
- Principles of autonomous and semi-autonomous agents
- Architectural perspectives on agent-first design
- Scenarios and justifications for agent-driven processes
Navigating the Antigravity IDE
- Interface structure and navigation strategies
- Overview of the editor, browser panel, and terminal
- Setting up the development workspace
Creating an Initial Agent-Driven Project
- Project configuration and setup
- Specifying agent roles and functional capacities
- Executing agents within the development setup
Advanced Exploration of the Agent Manager
- Oversight of multi-agent operational lifecycles
- Facilitating collaboration between agents
- Tracking agent status and activities
Agent Utilities: Terminal, Browser, and Execution Context
- Real-time debugging procedures
- Leveraging the browser interface for agent-managed operations
- Issuing agent directives via the terminal
Embedding Agents within Application Architecture
- Sequential workflow creation and task management
- Aligning agent actions with core business rules
- Patterns for persistence, memory management, and data processing
Validation, Reliability, and Security Protocols
- Testing methodologies for agent-centric architectures
- Guaranteeing consistent and secure agent performance
- Implementation of error resolution and contingency plans
Rolling Out Agent-Centric Solutions
- Readying applications for production environments
- Exploring deployment pathways and automation pipelines
- Ongoing surveillance of agent behavior post-release
Recap and Future Directions
Requirements
- A solid grasp of standard software development processes
- Proficiency in JavaScript or Python
- Acquaintance with contemporary IDE environments
Target Audience
- Software developers
- Full-stack engineers
- Teams focused on AI-native development