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Course Outline

Introduction to AI-Driven Development

  • Survey of AI-assisted coding tools and current industry trends
  • The position of Cursor within contemporary development environments
  • Primary efficiency gains and critical safety factors

Initial Setup with Cursor

  • Installation and configuration of Cursor
  • Linking Git and mainstream code repositories
  • Familiarizing oneself with the interface and essential features

Leveraging AI Code Completion and Inline Recommendations

  • Utilizing context-sensitive code completions
  • Crafting effective prompts to achieve superior AI outcomes
  • Adjusting AI behavior to align with project guidelines

Intelligent Editing and Refactoring

  • Implementing AI-driven refactor and edit proposals
  • Employing “Edit with AI” for swift code transformations
  • Preserving code consistency and readability

In-Editor Chat and Documentation Support

  • Utilizing the integrated chat for code comprehension and debugging
  • Creating and reviewing documentation with AI assistance
  • Addressing code issues using contextual insights

Secure Application and Validation of AI Recommendations

  • Verifying accuracy to prevent uncritical acceptance
  • Best practices for version control and code review procedures
  • Maintaining security and compliance in AI-assisted processes

Team Collaboration and Process Optimization

  • Efficiently onboarding teams to Cursor
  • Integrating Cursor with current CI/CD pipelines
  • Refining shared settings and collaborative editing experiences

Expanding Cursor Capabilities and Ongoing Learning

  • Incorporating third-party plugins and APIs
  • Keeping pace with new Cursor features and updates
  • Investigating emerging trends in AI-driven software development

Recap and Future Steps

Requirements

  • Proficiency in fundamental programming concepts
  • Practical experience with at least one programming language (e.g., Python, JavaScript, or Java)
  • Comfort with using a code editor or IDE

Target Audience

  • Junior software developers
  • Mid-level engineers aiming to incorporate AI coding assistants
  • Development teams implementing AI-driven workflows
 14 Hours

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