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Course Outline
The AI-Native IDE Architecture
- Understanding how Cursor is built on a fork of VS Code with deep model integration
- Comparing regular VS Code with extensions versus Cursor-native features
- Exploring Cursor's model hosting options: Claude, GPT, and custom endpoints
- Overviewing 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 them
- Managing undo and checkpoint states during long Composer sessions
- Testing the build after implementing 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 code intent before requesting modifications
- Avoiding context overflow by narrowing references
Agent Mode and Autonomous Refactoring
- Triggering agent mode with high-level prompts
- Observing the agent as it plans, edits, tests, and iterates
- Intervening when the agent diverges from the desired path
- Handling merge conflicts after agent-driven multi-file rewrites
Installation and Model Configuration
- Setting up Cursor on macOS, Windows, and Linux
- Selecting and switching models based on task type
- Using your own API key instead of relying on Cursor's shared hosting
- Configuring high-context models for navigating large codebases
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 costs across the workspace
Custom Rules and Prompts for Consistency
- Writing .cursorrules to enforce 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
- Generating commit messages from diff summaries
- Using pre-commit prompts to run linters and type checkers before committing
- Opening pull requests with AI-generated descriptions
- Responding to review comments by making targeted changes within Cursor
Debugging Agent-Assisted Code
- Tracing runtime errors back to agent-generated assumptions
- Using the chat panel to investigate why specific errors occurred
- Conducting regression testing after broad automated refactors
- Managing hallucinated imports and missing dependencies
Performance and Security
- Assessing indexing speed and storage impact on large repositories
- Automatically excluding sensitive files from agent context
- Understanding Cursor's data retention and training opt-out policies
- Addressing compliance requirements when using hosted models
Summary and Transitioning to Advanced Topics
- Recapping the differences between Cursor and other IDE-first AI tools
- Building a library of reusable prompts and rules
- Staying updated with Cursor's monthly release cadence
Requirements
- Experience with modern IDEs such as VS Code or JetBrains products
- Programming experience in any language
- Fundamental understanding of LLM concepts and prompting techniques
Audience
- Development teams evaluating or adopting Cursor as their primary IDE
- Engineering managers responsible for procuring AI tooling
- Freelance developers looking to accelerate client work with Cursor
14 Hours
