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Course Outline

Introduction to AI-Enhanced Development

  • Overview of AI-assisted coding tools and current industry trends.
  • The role of Cursor in contemporary development environments.
  • Key productivity gains and essential safety considerations.

Getting Started with Cursor

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

Utilizing AI Code Completion and Inline Suggestions

  • Leveraging context-aware code completions.
  • Crafting effective prompts to optimize AI output.
  • Customizing AI behavior to align with project standards.

Smart Editing and Refactoring

  • Implementing AI-driven refactoring and editing suggestions.
  • Using “Edit with AI” for rapid code transformations.
  • Maintaining code consistency and readability.

In-Editor Chat and Documentation Support

  • Using built-in chat features for code comprehension and debugging.
  • Generating and reviewing documentation with AI assistance.
  • Resolving code issues using contextual insights.

Safe Use and Verification of AI Suggestions

  • Assessing code correctness and avoiding uncritical acceptance.
  • Best practices for version control and code review processes.
  • Ensuring security and compliance within AI-assisted workflows.

Team Collaboration and Workflow Optimization

  • Efficiently onboarding teams to Cursor.
  • Integrating Cursor into existing CI/CD pipelines.
  • Optimizing shared settings and collaborative editing practices.

Extending Cursor and Continuous Learning

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

Summary and Next Steps

Requirements

  • A solid grasp of fundamental programming concepts.
  • Hands-on experience with at least one programming language (such as Python, JavaScript, or Java).
  • Comfort with using a code editor or Integrated Development Environment (IDE).

Target Audience

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

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