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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

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