How To Use Cursor AI 2.0 - Full Tutorial For Beginners 2026

Here's a detailed summary of the YouTube video transcript:

Key Concepts

• Cursor 2.0: The latest release of the Cursor IDE, featuring a new AI coding model (Composer) and an enhanced interface for managing multiple AI agents.
• Composer: Cursor's proprietary AI coding model, designed for speed.
• Agent Mode: A feature in Cursor 2.0 that allows users to run multiple AI agents simultaneously or sequentially to assist in coding tasks.
• Editor Mode: The traditional code editing interface within Cursor, where code is displayed and modified.
• Plan Mode: An AI-driven planning feature within Cursor that helps outline project structure and implementation steps.
• Superbase: A backend-as-a-service platform used for storing data, handling authentication, and real-time functionalities, particularly for the iOS app project.
• Edge Functions: Serverless functions deployed on Superbase, written in TypeScript, to handle backend logic.
• Worktree System: A feature in Cursor that creates a temporary clone of the project for AI agents to make changes, preventing direct modification of the live code until explicitly applied.
• Model Comparison Tool: A Cursor feature allowing users to run multiple AI models side-by-side for a single request, enabling comparison of their outputs.
• MVP (Minimum Viable Product): The initial version of a product with just enough features to be usable by early customers who can then provide feedback for future product development.
• API Keys: Secret credentials used to authenticate requests to an API.
• Gitignore: A file that tells Git which files or directories to ignore.
• Config.xcconfig: A configuration file for Xcode projects, similar to environment variables for web projects.
• Canvas Mode (Xcode): A feature in Xcode that allows for live previews of UI elements as they are being built.

Cursor 2.0: A New Era of AI-Assisted Coding

Cursor has launched its most significant release to date, Cursor 2.0. This update introduces Composer, a new AI coding model developed in-house by the Cursor team, and a completely revamped interface designed for interacting with multiple AI agents to streamline the coding process. The video demonstrates these new features by building an iOS application from scratch.

Project Setup: Building "Finish My"

The process begins with setting up a new iOS project in Xcode.

1. Xcode Project Creation:
   • Navigate to the iOS template tab and select "App" for an iOS app.
   • Name the product "Finish My," a game concept where users complete sentences against an AI or other players.
   • Leave other settings as default and create the project.
2. Opening in Cursor: The newly created Xcode project is then opened within Cursor, which defaults to the Editor Mode.

Cursor 2.0 Interface: Agents vs. Editor

The Cursor 2.0 interface clearly distinguishes between two primary modes:

• Editor Mode: The traditional code editing view where code resides in the center, and chat functionalities are available.
• Agents Mode: This mode allows users to run multiple AI agents, either concurrently by switching them on/off and using multiple model mode, or sequentially to build out complex functionalities. Changes made in Agent Mode are reflected in Xcode, where they can be previewed on a real device or simulator.

The Planning Phase: Leveraging AI for Project Blueprint

The video emphasizes the importance of the planning phase, now significantly enhanced within Cursor.

• Previous Workflow: The presenter previously relied on ChatGPT for planning and research.
• Cursor's Plan Mode: Cursor's integrated Plan Mode is now highly effective. Users can initiate a plan, review it, and then select an AI model to generate a detailed, sequential plan. This plan can then be converted into a build process.
• Model Recommendations for Planning:
  • Best Results: Claude Opus, Sonnet 4.5 (with thinking enabled), or GPT CodeX are recommended for their in-depth thinking, research capabilities, and sequential planning.
  • Superficial Results: Sonnet 4.5 (without thinking) or Composer can sometimes produce superficial plans that are less effective long-term due to their speed.
• Beginner Recommendation: For those starting out, it's advised to use the free or paid version of ChatGPT for initial planning conversations to conserve Cursor credits.

"Finish My" Game Concept and AI-Assisted Planning

The presenter outlines the "Finish My" game concept:

• Gameplay: Users type or speak a sentence, then stop. An AI or opponent completes the sentence, and the user must then complete the opponent's sentence.
• Objective: To create a fun, creative way to write short stories, encouraging silliness and creativity in a gamified manner.
• AI Integration: The game will feature AI opponents and potentially a multiplayer mode.
• Prompting Strategy: The presenter used voice input with ChatGPT to plan the game, including marketing strategy, backend systems, and Swift architecture integration. This information is then fed into Cursor's AI agent.

Backend Strategy: Superbase for Scalability and Real-time Features

A crucial aspect of the planning involves selecting a robust backend.

• MVP Backend: The presenter advocates for using a lightweight backend like Superbase for MVPs.
• Superbase Capabilities:
  • Data Storage: Stores essential information, including scores for live multiplayer games.
  • Real-time Functionality: Tracks users in rooms, new joiners, and handles authentication.
  • PG Vector: Integrated vector database for AI agent or ChatGPT clone applications.
• Web App Recommendation (Outside Scope): For web applications, Next.js with a Herzner server or Vel is recommended for rapid development and testing.
• Server-Side Logic: The presenter prefers keeping server-side logic within the database system (like Superbase edge functions) to facilitate easier migration to cheaper hosting solutions like Herzner servers later.
• Cost Consideration: It's vital to research and plan for costs associated with API calls, services, and hosting upfront to establish a viable pricing model.

Cursor's Editor Mode and Model Integration

Upon switching to Editor Mode, the AI agent remains accessible on the side.

• Claude Code Integration: The presenter has integrated Claude Code directly into their Cursor IDE, allowing its use without consuming Cursor credits.
• Model Comparison Tool in Action:
  1. New Agent: Click "New Agent" to initiate a new AI task.
  2. Stacking Models: Select multiple models (e.g., CodeX Thinking, Sonnet Thinking) and enable "Multiple Models."
  3. Prompting: Provide a prompt, such as "Build out a UI schema and outline for my app, keeping it fun but minimalist."
  4. Side-by-Side Execution: The system runs both selected models concurrently. Users can switch between their outputs.
  5. Code Integration (Future): If connected to an MCP server, the AI can make API calls.
  6. Output Comparison: The tool provides a side-by-side comparison of what each model produces.

Worktree System: Safe AI Code Modifications

A key safety feature in Cursor is the Worktree System:

• Isolation: When agents make changes, they are applied to a temporary clone of the project within Cursor's settings folders, not the live project.
• Controlled Application: This prevents simultaneous modifications by different models from corrupting the main codebase.
• Apply Changes: Users can then select the preferred output from a model and hit "Apply Changes" to integrate it into the actual project. This allows for combining outputs from different models or refining one model's output with another.

Configuring Cursor: MCP Tools and Custom Rules

• MCP Tools Integration: The presenter recommends linking various MCP (Multi-Cloud Platform) tools to Cursor for enhanced functionality:
  • Superbase: For backend services.
  • Apify Actors: For web scraping.
  • Stripe: For payment processing.
  • Heroku: For older project deployments.
  • Remotion: For programmatic video generation (useful for projects involving images/videos).
• Custom Rules: Users can define custom rules within Cursor (e.g., via cursor.json or similar configuration files) to guide AI behavior, such as project-specific coding standards, tone of voice, or preventing excessive file generation.

Building the "Finish My" App: From Plan to Code

The process moves to building the application based on the plan.

1. Initiating Build: The presenter hits "Build" and chooses to do it locally.
2. Agent Completion: The AI agent completes its tasks, generating numerous files.
3. Editor Mode Review: The presenter switches back to Editor Mode to review the generated files. The interface shows files in the center, with the agent system on the right.
4. Model Selection for Daily Tasks: For daily tasks not requiring extensive planning, the presenter uses Composer (for speed) or Sonnet 4.5.
5. File Generation: The agent has populated the Xcode project folder with all necessary files, including a basic Superbase setup.
6. Key Generated Files:
   • Superbase Project File: Contains edge functions written in TypeScript (e.g., generate_cover, score_story, update_xp_level, complete_story).
   • Gitignore: Includes environment variables and sensitive information.
   • Config.xcconfig: Stores configuration information for the Swift project, similar to environment variables.
7. Superbase Edge Function Deployment:
   • The TypeScript code for each edge function is copied.
   • These are pasted into the Superbase editor under the "Edge Functions" section, named appropriately (e.g., complete_story).
   • The functions are then deployed.
8. Debugging with Logs: The "Functions" tab in Superbase provides logs for debugging issues with edge functions or API calls. These logs can be copied back into Cursor for AI-assisted fixes.

Xcode Integration and App Preview

The generated code is now visible and functional within Xcode.

• Populated Project: All files created by Cursor are present in the Xcode project folder.
• Dependencies: Key dependencies, like the Superbase dependency, have been automatically added.
• Canvas Mode: Xcode's Canvas Mode is activated for live UI previews.
• MVP Assessment: For an MVP built in approximately 45 minutes, the functionality is deemed "not terrible," though the UI requires significant refinement.
• Core Functionality: The app includes level progression, solo/multiplayer modes, and daily challenges.
• Solo Mode Features: Language selection (potential for language learning tool), adjustable rounds, and opponent selection.
• Gameplay Example: The presenter demonstrates starting a story in solo mode, typing "A man eats an apple in a space station," and hitting "Finish My." The AI then generates the next part of the story.

Iterative Development and Error Handling

• Error Logs in Xcode: Warnings and errors from Xcode can be viewed at the bottom of the screen.
• AI-Assisted Error Fixing: These errors can be copied, pasted into Cursor, and the AI can analyze and fix them in real-time, updating Xcode accordingly.
• Focus on Core Functionality: The presenter highlights that getting the app to boot up and function without errors is a significant achievement (around 80% of the struggle).
• UI/UX Refinement: Once the core functionality is stable, the focus shifts to tweaking the UI, adding logos, and generating mockups. Image uploads can be used to update UI elements in real-time within Cursor.

Conclusion and Future Steps

Cursor 2.0 significantly accelerates the iOS app development process.

• Rapid Prototyping: The tool enables quick research into market trends, identification of niches, and rapid development of useful applications.
• Marketing and Monetization: Future steps involve marketing the app using platforms like TikTok and LinkedIn, creating AI-powered content, and implementing monetization strategies like paywalls.
• Call to Action: The presenter encourages viewers to share their Cursor experiences and questions in the comments.