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 Duration 14 hours

Course Outline

Introduction to AI-Driven Development

  • Overview of trends in AI-assisted coding tools
  • The role of Cursor in contemporary development environments
  • Key productivity enhancements and safety considerations

Getting Started with Cursor

  • Installation and configuration of Cursor
  • Integration with Git and popular code repositories
  • Exploration of the user interface and essential features

Leveraging AI Code Completion and Inline Suggestions

  • Utilizing context-aware code completions
  • Crafting effective prompts for optimal AI output
  • Calibrating AI behavior to align with project standards

Intelligent Editing and Refactoring

  • Implementing AI-driven refactoring and edit recommendations
  • Using “Edit with AI” for rapid code transformations
  • Maintaining code consistency and readability

In-Editor Chat and Documentation Support

  • Utilizing built-in chat for code comprehension and debugging
  • Generating and reviewing documentation via AI
  • Resolving code issues using contextual insights

Secure Utilization and Verification of AI Recommendations

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

Team Collaboration and Workflow Enhancement

  • Efficient onboarding of teams to Cursor
  • Integrating Cursor with existing CI/CD pipelines
  • Optimizing shared settings and collaborative editing features

Extending Cursor and Continuous Development

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

Conclusion and Future Steps

Requirements

  • Foundational understanding of basic programming concepts
  • Proficiency in at least one programming language (e.g., Python, JavaScript, or Java)
  • Experience with using a code editor or IDE

Target Audience

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

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