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Course Outline
Introduction to AI-Assisted Development
- The fundamentals of AI-assisted coding.
- A look at Cursor’s core features.
- Understanding how LLMs integrate into software development.
Setting Up Cursor
- Installation and configuration steps.
- Linking with GitHub and GitLab.
- Navigating the workspace and layout.
Generating Code with Cursor
- Prompting Cursor to create new code snippets.
- Utilising context-aware suggestions and completions.
- Best practices for crafting effective prompts.
Debugging and Resolving Errors
- Applying AI assistance to debug processes.
- Identifying and fixing common coding issues.
- AI-guided unit testing and error analysis.
Refactoring and Documenting Code
- Techniques for AI-driven refactoring.
- Generating documentation automatically.
- Maintaining consistency across large-scale projects.
Integrating Cursor with Development Tools
- Working alongside VS Code and terminal utilities.
- Incorporating Cursor into CI/CD pipelines.
- Facilitating team collaboration through AI suggestions.
Advanced AI Coding Workflows
- Combining AI models for complex coding challenges.
- Customising prompts and managing context windows.
- Ethical and security considerations in AI-assisted development.
Summary and Future Steps
Requirements
- A solid grasp of standard software development workflows.
- Practical experience programming in Python, JavaScript, or TypeScript.
- Working knowledge of Git and basic code editors.
Target Audience
- Software developers.
- DevOps engineers.
- Professionals interested in AI and automation.
21 Hours