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 Duration 14 hours

Course Outline

Introduction to AI-Driven Development

  • Surveying AI-assisted coding tools and current industry trends
  • The significance of Cursor within modern development ecosystems
  • Key productivity gains and essential safety considerations

Starting with Cursor

  • Installation and initial configuration of Cursor
  • Linking with Git and established code repositories
  • Navigating the user interface and exploring core functionalities

Leveraging AI Code Completion and Inline Suggestions

  • Utilizing context-aware code completions
  • Crafting effective prompts to enhance AI output
  • Calibrating AI behavior to adhere to project-specific standards

Intelligent Editing and Refactoring

  • Implementing AI-driven refactoring and editing recommendations
  • Employing “Edit with AI” for swift code transformations
  • Preserving code consistency and readability throughout

In-Editor Chat and Documentation Support

  • Using the integrated chat feature for code comprehension and debugging
  • Creating and reviewing documentation with AI assistance
  • Addressing code issues through contextual insights

Secure Usage and Validation of AI Suggestions

  • Verifying accuracy and avoiding unchecked acceptance of suggestions
  • Applying best practices for version control and review cycles
  • Maintaining security and compliance standards in AI-assisted workflows

Team Collaboration and Workflow Enhancement

  • Efficiently onboarding teams to the Cursor environment
  • Integrating Cursor into existing CI/CD pipelines
  • Refining shared settings and collaborative editing protocols

Extending Cursor and Ongoing Development

  • Connecting third-party plugins and APIs
  • Adapting to new features and software updates
  • Investigating emerging trends in AI-powered software engineering

Conclusion and Path Forward

Requirements

  • A solid grasp of fundamental programming concepts
  • Practical experience with at least one language, such as Python, JavaScript, or Java
  • Comfortable using a code editor or integrated development environment (IDE)

Target Audience

  • Entry-level software developers
  • Mid-career engineers aiming to incorporate AI coding assistants
  • Development teams transitioning to AI-enhanced workflows

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