Cursor is an AI coding platform helping developers and engineering teams build software with AI. Cursor's product is designed for complex codebases, supports frontier models from leading providers, and gives teams tools to configure model access, MCP controls, and system-level agent rules. Cursor has over 50,000 businesses on its platform, including 67 percent of the Fortune 500. Over 150M lines of enterprise code are written per day with Cursor.
Agent: A human-AI programmer designed to multiply your effectiveness. Agent can take on complex coding tasks, run terminal commands, and edit code so you can focus on higher-level direction and architecture. From quick, scoped changes to large workflows, Agent handles the boilerplate and can even parallelize ideas by running asynchronous tasks in remote environments.
Tab: A specialized model for autocompletion that gets smarter the more you use it. Tab helps you stay in flow by offering accurate
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Highlights
Direct AI agents to build software Cursor is a dev environment where AI agents plan, write, and ship code. Run as many in parallel as you need and take their work all the way to a merged PR.
Local and cloud agents, one workflow Iterate with agents locally, or hand whole projects to agents running on their own in the cloud. Moving work between the two is seamless.
AI code review with Bugbot Bugbot reviews every pull request, catching logic bugs and security issues, then proposes one-click fixes. With agents that write code and review built into the IDE, Cursor covers the full lifecycle from writing to shipping.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a contract pricing model with two dimensions. The Licensed Seat dimension charges per user and comes through a Private Offer, so you contact the vendor to set terms. Each seat includes a set amount of model usage. The additional_usage dimension covers On Demand Usage. It lets you keep using models after you consume your included amount, billed as you go. Together, the two dimensions separate fixed per-seat access from variable, consumption-based costs. Your total depends on how many seats you license and how much model usage runs beyond what each seat includes.
Top-of-mind questions for buyers
What counts as one Licensed Seat, and how is model usage tied to each seat?
A Licensed Seat is one named user account. Each seat includes a set amount of model usage that resets with your billing cycle. Administrators can set usage limits at both the team and individual user level, keeping cost control across seats.
What happens when a seat uses more model activity than its included amount?
Once a seat consumes its included usage, the additional_usage dimension takes over. You keep using models at the same rates with pay-as-you-go billing, charged in arrears. Requests are not downgraded in quality or speed. On-demand usage is billed monthly.
Which dimension drives most of my cost — the seats or the on-demand usage?
The two dimensions bill independently and appear together. Licensed Seats set a fixed per-user cost. The additional_usage charge varies with how much model activity runs past the included amounts. For heavy agent or automation users, on-demand usage can grow well beyond the fixed seat cost.
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SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Your developers keep Cursor. Your prompts, code context, and AI spend stays in your AWS account. We set it all up, move your rules and skills across, and guide your team through the adoption.
Costory is the context layer between your cloud bills and your AI agents. Ask Claude or Cursor why your AWS bill spiked and get an answer grounded in your actual spend, team structure, deploys, and incidents. Queryable via MCP. No FinOps team required.
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Receive recurring monthly AI credits with priority capacity and a predictable budget. Access frontier open-weight models, billed through AWS Marketplace.
Helps Me Understand the Codebase and Edit Multiple Files with Ease
Reviewed on Oct 16, 2026
Review provided by G2
What do you like best about the product?
I like how it helps me understand the overall codebase, edit multiple files at the same time, and work within the existing workflows.
What do you dislike about the product?
The edits feel unpredictable, and the cost and usage limits are frustrating. On top of that, it often loses context, which makes the overall experience inconsistent.
What problems is the product solving and how is that benefiting you?
Exploring the new tech and debugging the issues has been a good experience so far. Agent mode helps me write code, especially when I’m working with video coding, and it makes the overall process smoother.
Information Technology and Services
Cursor Makes Coding Faster and More Productive with AI
Reviewed on Oct 11, 2026
Review provided by G2
What do you like best about the product?
I like Cursor because it makes coding faster and more efficient with AI assistance built directly into the editor. It helps me understand code, generate solutions, debug issues, and make changes without constantly switching between different tools. I especially appreciate how it understands the context of my project and helps me move from an idea to working code more quickly. The interface feels familiar, and the AI features make everyday development tasks easier and save valuable time.
What do you dislike about the product?
Sometimes Cursor's AI suggestions aren't completely accurate and require manual corrections. It can also use up requests or reach usage limits faster than expected, depending on the plan. For larger projects, the AI may occasionally miss some context or suggest changes that need extra review. Overall, though, the benefits outweigh these drawbacks, and it remains a very useful tool for everyday development.
What problems is the product solving and how is that benefiting you?
Cursor helps me solve coding problems faster by using AI to generate code, explain unfamiliar concepts, debug errors, and improve existing code. It reduces the time I spend on repetitive tasks and searching for solutions, allowing me to focus more on building features and improving my projects. I especially value how it understands my codebase and provides relevant suggestions, making my development workflow more productive and efficient.
Joachim S.
Project-aware AI that makes coding several times faster
Reviewed on Oct 10, 2026
Review provided by G2
What do you like best about the product?
The AI understands my whole project, not just the file I'm working in. I use it daily to build websites and write programmatic SEO scripts, and generating or fixing code is several times faster than doing it by hand.
What do you dislike about the product?
When making bigger changes, the AI can overwrite things it shouldn't, so you have to watch the diffs carefully before accepting them. Also, the plan limits run out quickly with heavy daily use.
What problems is the product solving and how is that benefiting you?
I use Cursor every day to build websites and programmatic SEO scripts. Because the AI understands the whole project, I can generate and fix code several times faster, which lets me ship these projects much sooner.
Srijita G.
Effortless Coding with Cursor’s Simple Chat Interface and Powerful Integrations
Reviewed on Oct 01, 2026
Review provided by G2
What do you like best about the product?
A lot of times I know what I want to build, but I don't know exactly how to write the code for it. I don't always need to figure out the syntax or structure, I can explain the feature and let Cursor create a first version. Then I test it and tell it what needs changing... low the easy simple chat interface and all the integrations you could do in it..
What do you dislike about the product?
Sometimes it changes some codes that was working fine... so I always have to careful before giving it a prompt..
What problems is the product solving and how is that benefiting you?
I use cursor mostly for small tools, website features and little ideas that I need to build but probably wouldn't know how to code properly from scratch. I can explain what I want in normal language, and cursor helps me build exactly that pretty quickly.
Prakrit G.
One of the Best Agentic Coding Tools—Fast, Powerful, and Great ROI
Reviewed on Sep 29, 2026
Review provided by G2
What do you like best about the product?
One of the best tools for agentic coding. It not only has its own AI models, like Grok/Composer, but also integrates with other models such as Opus/Sonnet and GPT. Performance is very strong, and I like having both a fast mode and a standard mode depending on what I’m doing. The ROI feels insane for what you get. Having Cursor model usage alongside other model usage also feels superb.
The UI is really cool, with both Agent mode and IDE mode, and it’s easy to switch between them. Support for the tool also seems widely available online, with plenty of tutorials and documentation.
What do you dislike about the product?
The UI looks cool, but at times it can feel a bit too complex. Also, aside from the Cursor models, integration with other models seems limited. For example, other open-source models like GLM 5.3 can be used via an API, but that still lacks native integration.
What problems is the product solving and how is that benefiting you?
For me, the wide variety of tools—like local/cloud agents, automations, and workflows—is really useful. And if a Cursor model is underperforming, I can switch to another model for better reasoning and overall output.