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 Duration 14 hours

Course Outline

Introduction to AI-Augmented Development

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

Getting Started with Cursor

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

Leveraging AI Code Completion and Inline Suggestions

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

Smart Editing and Refactoring

  • Implementing AI-driven refactoring and edit recommendations
  • Using “Edit with AI” for quick code transformations
  • Preserving 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
  • Tackling code issues with contextual insights

Secure Usage and Validation of AI Suggestions

  • Assessing accuracy and avoiding blind adoption
  • Best practices for version control and review procedures
  • Maintaining security and compliance in AI-assisted processes

Team Collaboration and Workflow Optimization

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

Extending Cursor and Ongoing Learning

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

Summary and Next Steps

Requirements

  • A grasp of fundamental programming principles
  • Proficiency in at least one programming language (e.g., Python, JavaScript, or Java)
  • Basic familiarity with code editors or IDEs

Target Audience

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

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