Reviews praise Cursor for speeding delivery, tight workflow fit, and context-aware help that feels like pair programming. Makers echo this with specific gains: the makers of

Zapier

highlight smooth MCP installs and AI tooling inside the dev environment; the makers of

Deepgram

call it a strong first AI code editor; the makers of

Descript

credit faster building and a real sense of co‑creation. Users note robust multi-file awareness, chat tied to code, and strong Tab completions, while citing occasional latency, UX overwhelm, pricing shifts, and rare crashes.

+721

Summarized with AI

Pros

seamless integration (16)

intelligent code suggestions (12)

context aware (11)

AI autocomplete (10)

code generation (10)

fast performance (9)

VS Code integration (7)

pair programming (6)

error detection (4)

real-time debugging (4)

Cons

subscription cost (4)

occasional crashes (2)

Pros

Cons

Reviews

All Reviews

Most Informative

•4 reviews

What's great

context aware (11)

Cursor is fantastic because it deeply integrates AI into the core coding workflow rather than treating it as an external tool. It understands project context, code structure, and developer intent, enabling accurate code generation, refactoring, and navigation directly inside the editor. By significantly reducing context switching and accelerating problem-solving, Cursor helps developers write, understand, and iterate on code faster and with greater confidence.

What needs improvement

subscription cost (4)

While Cursor is highly powerful, there are areas for improvement. In large or complex codebases, context selection can sometimes be imprecise, leading to less relevant suggestions. More transparent control over which files and symbols the AI is using would help developers better guide the model. Additionally, performance optimization for long-running sessions and clearer feedback when the AI’s confidence is low would further improve trust and usability.

vs Alternatives

I chose Cursor because it integrates AI directly into the editor in a way that is deeply context-aware and practical for real-world development. Unlike standalone AI tools, Cursor understands the structure of the codebase and supports tasks like refactoring, debugging, and reasoning across files. This makes it a natural extension of the development workflow and significantly reduces context switching while improving overall productivity.

How often do you experience crashes or performance slowdowns?

Crashes are rare, and overall stability is good. Minor performance slowdowns can occasionally occur during long sessions or when working with large codebases, especially when extensive context is involved. However, these issues are generally manageable and do not significantly disrupt daily development. Overall, Cursor feels stable enough for regular, production-level development work.

Does pair programming with the AI feel helpful or intrusive?

Pair programming with the AI generally feels helpful rather than intrusive. Cursor acts more like an on-demand collaborator that provides suggestions, explanations, or implementations when needed, instead of constantly interrupting the workflow. As long as the developer maintains control over when and how the AI is engaged, the experience enhances productivity and decision-making without diminishing human ownership of the code.

Are generated tests and code easy to maintain?

In most cases, the code and tests generated by Cursor are readable, well-structured, and reasonably easy to maintain. The generated logic generally follows common best practices and integrates well with existing codebases. However, maintainability still depends on proper prompt guidance and human review, especially for complex business logic. With clear intent and iterative refinement, Cursor can produce code that is suitable for long-term maintenance rather than just quick prototypes.

Ratings

Ease of use

Reliability

Value for money

Customization

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227 views2mo ago

Warestack

•15 reviews

Its ability to understand context and provide relevant suggestions, particularly for complex codebases, really sets it apart. Whether you're working on small projects or large-scale applications, Cursor.ai can help boost productivity and reduce development time. Highly recommend giving it a try if you're looking to streamline your coding process!

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37 views1yr ago

•1 review

superior to vs code but uses more cpu and battery

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16 views1yr ago

•3 reviews

Cursor has absolutely changed the way I develop software. To be able to go from idea to running an application in hours or minutes is a game changer. Being able to integrate with several different models makes it easy to experiment. I do wish that they didn't force you to use their Pro service for the Composer experience, since it doesn't come with the same data governance guarantees as going direct to the model provider. But it's so good I can hardly complain...

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35 views1yr ago

•1 review

I've switched full-time from VSCode to Cursor for development. The LLM-powered completions are the best out there (and I've tried a lot of them!), and their UX doesn't break my coding flow. Only hiccup has been the extensions installation flow isn't as smooth, but that's to be expected by any VSCode fork.

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14 views1yr ago

•16 reviews

Cursor accelerates our coding process, offering an enhanced alternative to GitHub Copilot. It allows us to interact directly with our codebase, simplifying navigation and comprehension. Once you use it, there's no turning back.

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18 views1yr ago

•3 reviews

Cursor AI is a pretty darn impressive code editor that's built on top of VSCode. The fact that it's a fork of VSCode gives it some serious superpowers when it comes to AI-assisted coding. The deep integration and control over low-level details allow Cursor to do things that regular VSCode extensions just can't match . One of the standout features is the Ctrl+K (or Cmd+K on Mac) shortcut. It lets you edit code in place, understands the context of your file, and shows a handy diff view of the suggested changes. It's way more seamless than switching to a separate chat window . Cursor also plays nice with a bunch of AI models like GPT-4, Claude, and custom ones. You can even plug in your own API keys. Switching between models is a breeze with Ctrl+/ . The Copilot++ autocomplete is pretty smart too. It looks at your recent changes and surrounding code to give more accurate suggestions, can fix syntax errors, and even predict where you might want to edit next . Now, while Cursor is built on VSCode, that's also kind of its Achilles' heel. For certain programming languages, there are IDEs that are just way better suited. Like if you're doing Java development, something like JetBrains IntelliJ IDEA is going to be a better fit . But overall, Cursor is a solid 4 out of 5 stars in my book. The UI/UX is clean and the AI integration is top-notch . It's a great tool to have in your coding toolkit, especially if you're already a VSCode fan. Just keep in mind that for some specific language needs, a more specialized IDE might serve you better.

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30 views1yr ago

•3 reviews

Fairly solid, shame it doesn't have mindfulness of the project across the ai debug/fix chats.

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16 views1yr ago

Cove

•5 reviews

I think we are due for a wholesale rethinking of what an IDE looks like with AI at is core. But while I'm waiting for that, Cursor + Claude is still pretty great. It's increased my productivity a lot and is definitely a step forward from VSCode + Copilot

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42 views1yr ago

•4 reviews

A fork of VS Code with deeply integrated AI features. More effective than anything I've tried so far, including GitHub Copilot and JetBrains AI. Coupled with Claude 3.5 Sonnet, it's like having a senior developer who knows pretty much everything, at your side at all times.

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5 views1yr ago

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