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Course Outline
The AI-Native IDE Architecture
- How Cursor is built on a fork of VS Code with deep model integration
- Comparison with regular VS Code plus extensions versus Cursor-native features
- Cursor's model hosting: Claude, GPT, and custom endpoints
- Overview of the roadmap from autocomplete to full agent workflows
The Composer and Multi-File Editing
- Invoking the Composer to plan across files
- Reviewing generated edits before accepting or rejecting
- Managing undo and checkpoint states in long Composer sessions
- Testing the build after Composer-assisted changes
Context-Aware Chat and Smart References
- Using @file and @codebase to focus chat context
- Referencing specific functions, classes, and documentation files
- Summarizing the code intent before asking for modifications
- Avoiding context overflow by narrowing references
Agent Mode and Autonomous Refactoring
- Triggering agent mode with high-level prompts
- Watching the agent plan, edit, test, and iterate
- Intervening when the agent heads in the wrong direction
- Handling merge conflicts after agent multi-file rewrites
Installation and Model Configuration
- Setting up Cursor on macOS, Windows, and Linux
- Choosing and switching models per task type
- Using your own API key instead of Cursor's shared hosting
- Configuring high-context models for large codebase navigation
Team Workspaces and Shared Context
- Creating team workspaces and inviting members
- Sharing custom rules, style guides, and context files
- Establishing default prompts for recurring team workflows
- Tracking usage and cost across the workspace
Custom Rules and Prompts for Consistency
- Writing .cursorrules for project-wide conventions
- Automating code review comments through prompt engineering
- Maintaining architecture decision records with agent assistance
- Versioning rule files as part of the repository
Integration with Version Control and CI
- Writing commit messages from diff summaries
- Pre-commit prompts: running linters and type checkers before committing
- Opening pull requests with AI-generated descriptions
- Responding to review comments with targeted changes inside Cursor
Debugging Agent-Assisted Code
- Tracing runtime errors back to agent-generated assumptions
- Using the chat panel to ask why a specific error occurred
- Regression testing after broad automated refactors
- Managing hallucinated imports and missing dependencies
Performance and Security
- Indexing speed and storage impact on large repositories
- Excluding sensitive files from agent context automatically
- Understanding Cursor's data retention and training opt-out policies
- Handling compliance requirements when using hosted models
Summary and Transitioning to Advanced Topics
- Recap of Cursor versus other IDE-first AI tools
- Building a library of reusable prompts and rules
- Staying updated with Cursor's monthly release cadence
Requirements
- Experience with a modern IDE such as VS Code or JetBrains
- Programming experience in any language
- Basic understanding of LLM concepts and prompting
Audience
- Development teams evaluating or adopting Cursor as their primary IDE
- Engineering managers responsible for AI tooling procurement
- Freelance developers seeking to accelerate client work with Cursor
14 Hours
