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 Duration 21 hours

Course Outline

Foundations of Agent-First Development

  • Understanding autonomous versus semi-autonomous agent behaviors
  • Adopting an agent-first architectural perspective
  • Evaluating scenarios where agent-driven processes add value

Navigating the Antigravity IDE

  • Understanding the workspace structure and navigation tools
  • An overview of the editor, browser pane, and terminal interfaces
  • Configuring the development environment for optimal performance

Creating Your Initial Agent-Driven Project

  • Setting up and initializing a new project structure
  • Specifying agent roles and defining their core capabilities
  • Executing agents within the development sandbox

Advanced Agent Manager Usage

  • Overseeing the lifecycle of multiple agents
  • Facilitating seamless collaboration between agents
  • Tracking agent states and monitoring activity levels

Utilizing Agent Tools: Terminal, Browser, and Runtime

  • Implementing live debugging strategies
  • Leveraging the browser interface for agent-managed tasks
  • Issuing agent commands via the terminal interface

Integrating Agents into Core Application Logic

  • Chaining workflows and orchestrating complex tasks
  • Mapping agent actions to specific business rules
  • Implementing patterns for persistence, memory management, and data handling

Quality Assurance: Testing, Reliability, and Safety

  • Applying testing methodologies specific to agent-first architectures
  • Safeguarding against unpredictable or unsafe agent actions
  • Establishing robust error handling and recovery mechanisms

Production Deployment of Agent-First Systems

  • Refining applications for live production environments
  • Exploring deployment strategies and CI/CD pipelines
  • Implementing continuous monitoring of agents post-launch

Conclusions and Future Pathways

Requirements

  • A solid grasp of standard software development lifecycles
  • Practical experience with JavaScript or Python
  • Proficiency with contemporary Integrated Development Environments (IDEs)

Target Audience

  • Software Developers
  • Full-Stack Engineers
  • Teams focused on AI-native development

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