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Course Outline

Introduction to AI-Enhanced Development

  • Survey of AI-assisted coding tools and current industry trends
  • The role of Cursor in contemporary development environments
  • Key productivity advantages and critical safety considerations

Getting Started with Cursor

  • Installation and configuration of Cursor
  • Linking with Git and widely used code repositories
  • Familiarizing with the user interface and essential features

Leveraging AI Code Completion and Inline Suggestions

  • Utilizing context-aware code completions
  • Formulating effective prompts for optimal AI outcomes
  • Adjusting AI behavior to adhere to project-specific standards

Smart Editing and Refactoring

  • Implementing AI-driven refactor and edit recommendations
  • Using “Edit with AI” for swift code transformations
  • Preserving code consistency and readability

In-Editor Chat and Documentation Support

  • Employing built-in chat for code comprehension and debugging
  • Creating and reviewing documentation with AI assistance
  • Tackling code issues using contextual insights

Safe Usage and Verification of AI Suggestions

  • Assessing accuracy and avoiding uncritical acceptance
  • Best practices for version control and review cycles
  • Guaranteeing security and compliance within AI-assisted workflows

Team Collaboration and Workflow Enhancement

  • Efficiently onboarding teams to Cursor
  • Integrating Cursor into established CI/CD pipelines
  • Optimizing shared settings and collaborative editing features

Extending Cursor and Continuous Development

  • Incorporating third-party plugins and APIs
  • Adapting to new Cursor features and updates
  • Investigating future trends in AI-driven software engineering

Summary and Next Steps

Requirements

  • A solid grasp of fundamental programming concepts.
  • Practical experience with at least one language such as Python, JavaScript, or Java.
  • Comfortable navigating a code editor or IDE.

Target Audience

  • Junior software developers.
  • Mid-level engineers looking to incorporate AI coding assistants.
  • Development teams transitioning to AI-powered workflows.
 14 Hours

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