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 Duration 21 hours

Course Outline

Foundations of AI-Assisted Development

  • The concept of AI-assisted coding.
  • A summary of Cursor’s primary features.
  • The role of LLM integration in modern software development.

Setting Up Cursor

  • Installation and initial configuration steps.
  • Linking with GitHub and GitLab platforms.
  • Navigating the workspace and interface layout.

Leveraging Cursor for Code Creation

  • Prompting Cursor to generate new code snippets.
  • Understanding context-aware suggestions and auto-completions.
  • Strategies for crafting effective prompts.

Debugging and Fixing Errors

  • Applying AI assistance to the debugging process.
  • Detecting and resolving frequent coding issues.
  • Performing AI-guided unit testing and error analysis.

Refactoring Code and Generating Documentation

  • Techniques for AI-driven code refactoring.
  • Automating the creation of documentation.
  • Ensuring consistency in large-scale projects.

Connecting Cursor with Development Tools

  • Collaborating with VS Code and terminal utilities.
  • Incorporating Cursor into CI/CD pipelines.
  • Team collaboration using AI-powered suggestions.

Advanced AI Coding Processes

  • Utilizing multiple AI models for complex coding challenges.
  • Tuning prompts and context windows for optimal results.
  • Addressing ethical and security concerns in AI-assisted development.

Conclusions and Future Steps

Requirements

  • A solid grasp of standard software development workflows.
  • Practical experience coding in Python, JavaScript, or TypeScript.
  • Knowledge of Git and basic code editing tools.

Target Audience

  • Software Developers
  • DevOps Engineers
  • Professionals interested in AI and automation

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