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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.