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Course Outline

Introduction to AI-Enhanced Development

  • Overview of AI-assisted coding tools and industry trends
  • Cursor’s impact on modern development environments
  • Key productivity gains and essential safety considerations

Getting Started with Cursor

  • Installation and configuration steps
  • Linking to Git and mainstream code repositories
  • Navigating the user interface and core functionalities

Leveraging AI Code Completion and Inline Suggestions

  • Utilizing context-aware code completion features
  • Crafting effective prompts to improve AI output
  • Calibrating AI behavior to adhere to project standards

Smart Editing and Refactoring

  • Implementing AI-driven refactoring and editing suggestions
  • Using “Edit with AI” for efficient code transformations
  • Preserving code consistency and readability

In-Editor Chat and Documentation Support

  • Employing the built-in chat for code comprehension and debugging
  • Creating and verifying documentation with AI assistance
  • Resolving code challenges through contextual insights

Safe Application and Validation of AI Suggestions

  • Assessing correctness and preventing blind acceptance
  • Best practices for version control and code review processes
  • Maintaining security and compliance in AI-assisted workflows

Team Collaboration and Workflow Optimization

  • Efficient onboarding strategies for teams adopting Cursor
  • Integrating Cursor with existing CI/CD pipelines
  • Optimizing shared configurations and collaborative editing

Extending Cursor and Continuous Learning

  • Incorporating third-party plugins and API integrations
  • Adapting to new Cursor features and updates
  • Exploring emerging trends in AI-driven software development

Summary and Next Steps

Requirements

  • Familiarity with fundamental programming principles
  • Practical experience with at least one language (e.g., Python, JavaScript, or Java)
  • Comfort using a code editor or Integrated Development Environment (IDE)

Target Audience

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

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