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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 safety considerations

Getting Started with Cursor

  • Installation and configuration of Cursor
  • Connecting to Git and popular code repositories
  • Navigating the user interface and core functionalities

Leveraging AI Code Completion and Inline Suggestions

  • Utilizing context-aware code completions
  • Effective prompting techniques for optimal AI output
  • Calibrating AI behavior to align with project standards

Smart Editing and Refactoring

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

In-Editor Chat and Documentation Support

  • Employing built-in chat for code comprehension and debugging
  • Generating and reviewing documentation via AI
  • Addressing 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 workflows
  • Safeguarding security and compliance in AI-assisted processes

Team Collaboration and Workflow Enhancement

  • Streamlining team onboarding to Cursor
  • Integrating Cursor with existing CI/CD pipelines
  • Optimizing shared settings and collaborative editing

Extending Cursor and Continuous Learning

  • Integrating third-party plugins and APIs
  • Adapting to new Cursor features and updates
  • Exploring future trends in AI-driven software development

Summary and Next Steps

Requirements

  • Proficiency in fundamental programming concepts
  • Hands-on experience with at least one programming language (e.g., Python, JavaScript, or Java)
  • Working knowledge of code editors or IDEs

Target Audience

  • Junior software developers
  • Mid-level engineers aiming to integrate AI coding assistants
  • Development teams transitioning to AI-powered workflows
 14 Hours

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