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 Duration 21 hours

Course Outline

Introduction to AI-Assisted Development

  • Defining AI-assisted coding.
  • Overview of Cursor’s primary features.
  • Understanding the role of LLM integration in software development.

Setting Up Cursor

  • Installation and configuration of Cursor.
  • Establishing connections with GitHub and GitLab.
  • Navigating the workspace and interface layout.

Leveraging Cursor for Code Generation

  • Prompting Cursor to create new code snippets.
  • Utilizing context-aware suggestions and completions.
  • Best practices for crafting effective prompts.

Debugging and Error Resolution

  • Applying AI assistance to the debugging process.
  • Identifying and addressing common coding issues.
  • AI-guided unit testing and error analysis.

Code Refactoring and Documentation

  • Implementing AI-driven refactoring techniques.
  • Generating documentation automatically.
  • Ensuring consistency across large-scale projects.

Integrating Cursor with Development Tools

  • Working alongside VS Code and terminal utilities.
  • Incorporating Cursor into CI/CD pipelines.
  • Team collaboration using AI-generated suggestions.

Advanced AI Coding Workflows

  • Combining AI models to handle complex coding tasks.
  • Customizing prompts and managing context windows.
  • Ethical and security considerations in AI-assisted development.

Summary and Next Steps

Requirements

  • Knowledge of software development workflows.
  • Programming experience in Python, JavaScript, or TypeScript.
  • Familiarity with Git and standard code editors.

Target Audience

  • Software developers.
  • DevOps engineers.
  • Professionals interested in AI and automation.

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