What is Cursor AI? A complete guide to features, pricing, and use cases

Cursor is what happens when an AI model gets built directly into the code editor instead of bolted on as an extension. It's not a plugin for your existing setup, it's a full development environment designed from the ground up around AI-assisted coding, with features that go well beyond autocomplete: inline edits, multi-file changes, natural language commands, and now cloud agents that can work through entire coding tasks autonomously.

This guide covers what Cursor AI is, how it works, what it costs, and how it compares to GitHub Copilot. If you want to take it further, we'll also show you how IFTTT connects Cursor to your broader workflow.

IFTTT is an automation platform that connects over 1000 apps and services, so instead of manually launching Cursor agents every time you need something done, you can build automations that trigger agents from GitHub, a button press, a scheduled time, or an incoming webhook, and route status updates to Slack, Google Sheets, or wherever your team already works.

What is Cursor AI?

Cursor is an AI-first code editor built on top of VS Code. It keeps everything you're used to: the interface, extensions, keybindings, and language support, and adds a deeply integrated AI layer that can understand your entire codebase, make multi-file edits, and run autonomous coding agents on your behalf.

Cursor was built by Anysphere and launched in 2023, gaining rapid adoption among developers who wanted AI coding assistance that went deeper than a line-by-line autocomplete. Where tools like GitHub Copilot suggest code as you type, Cursor lets you describe what you want in natural language and applies changes across multiple files at once. The most recent addition to Cursor is cloud agents, long-running automated processes that can execute multi-step coding tasks without you staying in the loop for every step.

What is Cursor AI used for?

Individual developers use Cursor as their primary editor, leaning on its AI features to write code faster, refactor existing codebases, debug errors, and generate boilerplate without switching between a chat interface and their editor.

Engineering teams use Cursor to reduce the time spent on repetitive or mechanical coding work, things like adding tests, updating documentation, migrating between frameworks, or applying consistent changes across a large repo. With cloud agents, these tasks can be handed off and run in the background.

Technical founders and solo builders use Cursor to punch above their weight, getting to working prototypes faster and maintaining codebases that would otherwise require a larger team to manage.

Teams using CI/CD pipelines and automation use Cursor's IFTTT integration to trigger cloud agents as part of larger workflows, launching agents automatically when a PR is opened, a build fails, or an external event fires.

How does Cursor AI work?

Cursor is built on the same codebase as VS Code, which means it opens and runs like a standard editor. Under the hood, it connects to AI models, including Claude, GPT-4, and Cursor's own models, and gives those models access to your full codebase as context.

The core features work across three modes. Tab completion suggests code inline as you type, similar to Copilot. The Composer mode lets you describe a change in natural language and apply it across multiple files at once, useful for refactors, feature additions, or anything that touches more than one file. Chat mode lets you ask questions about your code, get explanations, or iterate on solutions interactively.

Cursor's cloud agents go further. Instead of staying in the editor and guiding each step, you can launch an agent with a high-level instruction: "add unit tests to this module" or "refactor this API to use the new authentication flow," and the agent works through the task autonomously, making changes, running checks, and completing the work while you do something else.

Is Cursor AI free?

Cursor offers a free tier and two paid plans.

The Hobby plan is free and includes 2,000 completions per month and 50 slow premium model requests. It's sufficient for light use but quickly limited for developers who want to use Cursor as their primary editor.

The Pro plan costs $20/month and includes unlimited completions, 500 fast premium model requests per month, and access to cloud agents. This is the plan most individual developers use day-to-day.

The Business plan costs $40/user/month and adds centralized team billing, admin controls, and organization-level privacy settings, designed for teams that need to manage Cursor access across multiple developers.

Cloud agent usage on IFTTT connects to Cursor's Pro and Business plans. Queries and agent management are available on Pro+.

Cursor vs. GitHub Copilot: what's the difference?

Cursor and GitHub Copilot are the two most widely used AI coding tools, but they operate differently. Copilot is a plugin, it adds AI suggestions to the editor you already use. Cursor is the editor. Here's how they compare:

Bottom line: If you want an AI coding assistant that works alongside your existing editor, Copilot is a frictionless choice, especially if you're already in the GitHub ecosystem. If you want an editor where AI can take over multi-file changes, understand your full codebase, and run autonomous agents, Cursor is built for that. Both are capable tools for day-to-day coding; the decision usually comes down to how much you want AI embedded in the environment versus how much you want to stay in your current setup.

We don't have a GitHub Copilot integration, but GitHub itself is fully supported on IFTTT.

What are Cursor AI's limitations?

The biggest adjustment for most developers is that Cursor is a separate application, not a plugin. Switching from VS Code or another editor means migrating your configuration, extensions, and muscle memory, even though Cursor is built on VS Code and supports most of the same extensions. For developers deeply customized in another editor, the transition takes time.

Cursor's AI features also depend on external model APIs under the hood. Response quality and speed can vary depending on which model is selected, and heavy use can bump up against the monthly limits on the free and lower-paid tiers faster than expected. Teams running high volumes of agent tasks may find costs scaling quickly on the Business plan.

Privacy is a consideration for some teams as well. Cursor processes your code through external AI model providers, which means code leaves your local environment. Cursor offers a privacy mode that disables code training, but for organizations with strict data residency requirements, it's worth reviewing before adoption at scale.

Finally, cloud agents, while powerful, are still a relatively new feature. They work well for well-scoped tasks, but complex or ambiguous instructions can result in agents that go in the wrong direction. Treating agent outputs as drafts that need review, rather than final work, remains the safe default for anything critical.

How IFTTT works with Cursor

Cursor handles the coding. IFTTT decides when to start and where to send the results. Instead of manually launching a Cursor agent every time a specific event happens, you build the automation once, and agents fire, stop, or receive new instructions based on whatever trigger makes sense for your workflow.

IFTTT's Cursor integration works through two queries and three actions:

• - Get agent status (Pro+): returns the current status of a running Cursor agent
• - List agents (Pro+): returns a list of your Cursor agents and their states
• - Launch an agent: starts a new Cursor cloud agent with the instruction you provide
• - Stop an agent: stops a running Cursor agent
• - Add a follow-up instruction to an agent: sends an additional instruction to an agent already in progress

Launch agents from development events

When something happens in your development workflow, IFTTT can automatically kick off a Cursor agent to handle it. A new pull request on GitHub triggers an agent to review the changes and draft a summary. A webhook from your CI system fires when a build fails, launching an agent to investigate the error. An RSS feed item triggers an agent to research and draft a code change.

This means Cursor agents aren't limited to manual launches from inside the editor, any event IFTTT can detect becomes a potential trigger for automated coding work.

Start agents from a button or schedule

Not everything needs an external event. IFTTT's Button widget lets you launch a Cursor agent with a single tap from your phone, useful for kicking off recurring tasks, ad hoc jobs, or anything you want to start without opening the editor. Date & Time triggers let you schedule agents to run at set intervals, so routine maintenance tasks, scheduled refactors, or daily code generation jobs can run automatically.

Monitor agent status in your team's tools

Once an agent is running, IFTTT can query its status and route updates to wherever your team already works. A completed agent can post results to Slack, log outputs to Google Sheets, or send a notification to Discord or Telegram. If an agent needs to be stopped mid-task, IFTTT can handle that too, triggered by a webhook, a button, or another automation in the chain.

This keeps your team informed about what agents are doing without anyone having to check back in the Cursor interface manually.

Explore Cursor integrations

Slack to Cursor

Launch Cursor agents and route status updates directly to Slack. Useful for engineering teams who want automated coding tasks to surface in the channels they're already monitoring.

• - Launch a Cursor agent when a webhook fires and post the result to Slack
• - Query agent status on a schedule and send updates to a Slack channel
• - Keep your team informed about running agents without leaving Slack

Set up Slack → Cursor

GitHub to Cursor

Trigger Cursor agents from GitHub activity. Useful for teams who want AI-assisted code review, summaries, or automated responses kicked off directly from pull requests and repository events.

• - Launch a Cursor agent when a new GitHub pull request is opened
• - Trigger an agent on a new GitHub issue to draft a fix or investigation
• - Connect your repo activity to automated coding work without manual steps

Set up GitHub → Cursor

Google Sheets to Cursor

Log Cursor agent activity to a spreadsheet. Useful for teams tracking what agents ran, what they were asked to do, and what status they returned, without building a custom dashboard.

• - Log agent launches and status updates to Google Sheets automatically
• - Build a running record of agent activity across your team
• - Track usage and outcomes for agents triggered by different workflows

Set up Google Sheets → Cursor

Use IFTTT MCP inside Cursor

Beyond Applet-based automations, IFTTT also supports a direct MCP (Model Context Protocol) connection that lets Cursor's AI agent interact with your connected services in real time, without switching tools or manually completing steps.

With IFTTT MCP connected, you can describe what you want inside Cursor and your agent handles it across Slack, Notion, Google Sheets, and over 1000 other connected services, all from the chat window you're already working in.

To get started, check out our full guide: What is IFTTT MCP?

12 more ways to automate your development workflow

If you're already automating Cursor with IFTTT, there's a broader developer workflow to connect. IFTTT supports GitHub, Jira, Netlify, Slack, Discord, Telegram, Google Sheets, webhooks, Notifications, iOS Shortcuts, Android automations, and more, all the tools that already surround your coding environment, ready to trigger agents or receive their outputs.

Cursor and IFTTT: better together

Cursor's cloud agents turn AI from a coding assistant into an autonomous collaborator. IFTTT is what connects that collaborator to the rest of your workflow, launching agents from the right events, routing status to the right tools, and making sure the work happens without anyone having to manually start it every time.

Ready to connect Cursor to your workflow? Get started on IFTTT today, no code required.

Frequently asked questions about Cursor AI

What AI models does Cursor use?

Cursor gives you access to multiple models depending on your plan and preference. On the Pro plan, you can use Claude (Anthropic), GPT-4o (OpenAI), and Cursor's own models, switching between them based on the task. Claude tends to perform well on complex multi-file edits and instruction-following; GPT-4o is a strong general-purpose choice. Cursor also lets you bring your own API key for certain models if you prefer to route usage through your own accounts.

What is the difference between Cursor and VS Code?

Cursor is built on VS Code, the same codebase, the same interface, and compatibility with most of the same extensions. The difference is depth of AI integration. VS Code with GitHub Copilot adds AI suggestions as an extension. Cursor treats AI as the core of the editor: it can index your entire codebase for context, apply multi-file changes from natural language instructions, and run autonomous cloud agents. If you're comfortable in VS Code, Cursor will feel immediately familiar; the learning curve is in the AI features, not the editor itself.

How do Cursor cloud agents work?

Cursor cloud agents are autonomous processes you launch with a high-level instruction, something like "add error handling to all the API endpoints in this module" or "update the authentication flow to match the new spec." The agent works through the task step by step: reading files, making changes, running checks, and completing the work without you guiding each action manually. On IFTTT, agents can be launched by any trigger: a GitHub event, a webhook, a scheduled time, or a button, and their status can be queried and routed to other tools like Slack or Google Sheets.

Does Cursor work with GitHub?

Yes. Cursor works with GitHub repositories just like any other Git-based editor, you can clone, commit, push, and manage branches through the built-in source control panel. Cursor's AI features are codebase-aware, so they work with whatever is in your repo regardless of where it's hosted. On IFTTT, GitHub events can be used as triggers to launch Cursor cloud agents automatically, for example, kicking off an agent when a pull request is opened or a new issue is created.