Cursor AI vs Factory AI: Which Tool Should You Use?

Cursor AI and Factory AI both promise to make developers more productive. But they take very different approaches to get there. Cursor puts AI directly inside your code editor. Factory is an autonomous agent that tries to handle whole tasks on its own.

This article breaks down how each tool works, what they offer, and which one makes sense for your team.

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What Is Cursor AI?

Cursor is an AI-powered code editor built on top of VS Code. It keeps the familiar VS Code layout but adds AI features that help you write, edit, and understand code faster.

You stay in control the whole time. Cursor suggests code, explains errors, and helps you refactor, but you make every decision. It works with your existing files and understands your whole codebase, not just the file you have open.

If you already use VS Code, switching to Cursor takes almost no time. Your extensions, settings, and shortcuts all carry over. To learn more about how Cursor works under the hood, read our guide on whether Cursor AI is a VS Code fork.

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What Is Factory AI?

Factory AI is an autonomous coding agent. Instead of helping you write code, it tries to write code for you. You describe a task and Factory handles it from start to finish.

Factory connects to your GitHub repository and works on pull requests, bug fixes, and feature work without you directing every step. It is built for teams that want to offload repetitive coding tasks to an AI system.

Factory is still a newer tool. It is useful in specific workflows, but it is not yet widely tested at the scale that Cursor has been. If you are new to Cursor and want a full overview before comparing, our beginner's guide to Cursor AI is a good place to start.

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Cursor AI vs Factory AI: Feature Comparison

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For a deeper look at everything Cursor offers, check out our full Cursor AI features guide.

Cursor AI Core Features

Cursor has a full set of tools for writing and editing code. Here is what makes it stand out.

• Composer for multi-file edits: Cursor can make changes across many files at once based on a single instruction from you.
• Codebase indexing for smarter suggestions: Cursor reads your whole project so its suggestions match your actual code structure and patterns.
• Chat mode for code questions: You can ask Cursor questions about your code and get clear answers without leaving the editor.
• Multiple AI model choices: You can pick from GPT-4o, Claude, Gemini, and other models depending on your task and budget.
• Tab autocomplete that thinks ahead: Cursor predicts your next edit, not just the next word, which makes repetitive coding much faster.

Once you know what Cursor can do, the next step is learning how to use it well. Our guide on how to use Cursor AI walks you through the key workflows.

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Factory AI Core Features

Factory takes a different approach. It works more like a team member you assign tasks to than a tool you use directly.

• Autonomous pull requests for common tasks: Factory can open pull requests for bug fixes and small features without you writing the code.
• GitHub integration for workflow connection: Factory plugs into your existing GitHub setup and operates inside your normal development process.
• Task-based instructions for less hands-on work: You describe what you need in plain language and Factory attempts to carry out the full task.
• Code review assistance for feedback at scale: Factory can review pull requests and flag potential issues before your team looks at them.
• Repository awareness for context-relevant output: Factory reads your codebase before it writes code so it understands your existing patterns.

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Cursor AI vs Factory AI: Pricing

Cursor has clear public pricing. You can start for free, then move to a paid plan as your needs grow.

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Factory does not publish its pricing publicly. You need to contact their team for a quote, which is common for autonomous agent tools aimed at larger engineering teams.

For a full breakdown of what each Cursor plan includes, see our Cursor AI pricing guide.

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How Each Tool Handles AI Assistance

The biggest difference between Cursor and Factory is how much control you keep.

Cursor keeps you in the driver's seat. You write code with AI helping you at every step. You review every suggestion before it goes into your project. This works well for complex features where context and judgment matter.

Factory hands tasks off to an AI agent. You describe what needs to happen and it tries to complete it. This works well for well-defined, repetitive tasks like fixing a specific bug type or writing boilerplate code.

Neither approach is better in every case. Many teams use both, letting Cursor handle complex work and autonomous agents handle routine tasks. For a closer look at where Cursor fits best, see our Cursor AI use cases guide.

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Who Should Use Cursor AI?

Cursor works well for a wide range of developers. It fits best when you want AI support without giving up control of your codebase.

• Individual developers who want faster coding without changing their workflow.
• Small teams building products where code quality and consistency matter.
• Developers who use VS Code and want to add AI without switching tools.
• Teams with complex codebases that need AI to understand the full project before making suggestions.

Getting started is straightforward. Our Cursor AI installation and setup guide shows you how to get up and running in minutes.

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Who Should Use Factory AI?

Factory fits a different kind of team. It works best when you have clear, repeatable tasks you want to delegate.

• Engineering managers who want to reduce time spent on routine fixes and small features.
• Larger teams with established GitHub workflows looking to add automation.
• Teams with well-documented codebases where an AI agent can work with less guidance.
• Organizations evaluating autonomous agents as part of a broader AI development strategy.

If your organization is exploring Cursor at a larger scale, our guide to Cursor for enterprise teams covers what you need to know before rolling it out company-wide.

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Cursor AI vs Factory AI: Stability and Community

Cursor has been widely used for years. It has a large community, active forums, regular updates, and plenty of tutorials. If you run into a problem, someone has likely solved it already.

Factory is a newer product. The community is smaller and there is less public documentation about real-world use at scale. That does not mean it is unreliable, but it does mean you are working with a tool that has less public track record.

For production work where stability matters, Cursor is the lower-risk choice. If you want to see how Cursor stacks up against other tools in the market, our Cursor AI alternatives guide gives you a broader view.

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Build Better Code from the Start

AI tools like Cursor and Factory can speed up development. But speed without structure creates problems you will have to fix later.

At LowCode Agency, we help teams set up the right foundation before any AI tool writes a single line of production code.

• Data model and architecture first: We define your system structure before Cursor or any agent starts generating code, so the output fits your real needs.
• Clear task definitions for autonomous tools: Factory-style agents work best with well-scoped tasks. We help you get to that clarity before you delegate to AI.
• Real infrastructure behind the code: Databases, authentication, payments, and third-party APIs all need to be connected properly, no matter how the code was generated.
• Production-ready from the first version: We build with real users in mind so your early releases do not need to be rebuilt when traffic arrives.
• Product thinking before code thinking: The best AI output starts with clear requirements. We align on user flows and core logic before any generation begins.

We work with teams who want to build something that lasts. If that sounds like you, let's talk.

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Conclusion

Cursor AI and Factory AI solve different problems. Cursor makes you a faster, more capable developer by putting AI directly inside your editor. Factory tries to handle whole tasks autonomously so your team can focus on higher-level work.

For most developers and small teams, Cursor is the better starting point. It is proven, affordable, and works with tools you already use. Factory is worth exploring if your team has clear repetitive tasks and the infrastructure to support autonomous agents.

The best choice depends on how you work and what you are building. Start with the tool that fits your current workflow, and add more AI as your needs grow.