Cursor Reviews

It combines the ease of use that everyone knows and is familiar with, having worked with VS Code, but supercharged with features.

The cost is a bit high, but is surely worth the cost!

Saves me a lot of time having to not worry about researching new syntax and functionalities.

I love how seamlessly Cursor integrates AI into the development workflow. The inline code suggestions are incredibly accurate, and the ability to ask questions directly in the editor saves me tons of time. It feels like pair programming with an expert developer who understands my project context.

Sometimes the AI suggestions can be slightly off-target for very complex or highly specialized code, and it occasionally slows down when handling very large repositories. I’d also love to see more customization options for prompt tuning and shortcuts.

Cursor helps me solve two major problems: writing code faster and understanding complex codebases. It eliminates the time I usually spend searching documentation or debugging by providing context-aware suggestions and explanations directly in the editor. It also makes refactoring and learning new frameworks much easier by generating clean, optimized code. This has significantly increased my productivity, reduced errors, and allowed me to focus on building features instead of getting stuck on repetitive tasks or troubleshooting for hours.

I use it almost every day to generate the code for designed components and help our team move faster by understanding how an element might look from the start, with all the interactive and motion we need.

Doesn't work correctly when I'm adding more than one selection link from Figma. I'm trying to synthesise elements, for instance, to create a "Molecule" with two "Atoms".

We can identify and fix

.Easily give the solutions for all type of coding

need android studio support, import is not generate

When i develop

We rely on Cursor as a genuine co-pilot for building and deploying complex applications. From subtle syntax tweaks to multi-file refactoring, it guides our workflow and lets us iterate across tabs seamlessly, keeping the bigger picture intact and development smooth.

While the official docs help at first, mastering advanced features came mostly from trial, error, and insights shared with experienced colleagues.

When building a proof of concept, Cursor quickly structures the project’s foundation, taking us from idea to prototype in minutes. It often anticipates our needs, completing code as if it were our own logic, boosting productivity while fostering a cleaner, more maintainable coding style.

What I like best about Cursor is how well it understands my code context. It doesn’t just provide generic suggestions — it gives me detailed analysis, ready-to-use code snippets, and recommendations that align with the high-level changes I want to make. This makes it feel like a true coding partner.

Since it’s built on Visual Studio Code, it feels instantly familiar and easy to use.

The AI-powered code completion is mind-blowing, it predicts entire test cases based on my patterns, saving hours of repetitive coding. The ability to chat with AI about my codebase is incredible. Multi-file editing is perfect for refactoring test suites across multiple files simultaneously. The context awareness is unreal, it understands my testing framework conventions and suggests appropriate assertions and mock setups. The terminal integration with AI suggestions helps debug test failures faster. The speed of generating boilerplate test code and data builders has accelerated our test coverage goals significantly.

Sometimes the AI suggestions are overly complex for simple test cases, adding unnecessary abstractions. It occasionally generates test code with outdated patterns or deprecated methods from older framework versions.

Cursor dramatically reduces the time I spend writing repetitive test code, it generates entire test suites with proper setup/teardown in seconds. The AI understands our testing patterns and automatically creates comprehensive edge case scenarios I might miss. Debugging test failures is faster, I can paste error logs and get instant insights about potential causes. It's eliminated the blank page problem, starting new test files is effortless with intelligent boilerplate generation. Code reviews are more efficient since it helps maintain consistent testing patterns across the team. Most importantly, it's helped junior SDETs write better tests by suggesting industry-standard practices and proper assertion patterns, effectively raising our entire team's testing quality.

Its ability to process large amount of code, multiple agents like GPT, Claude etc and GIT like ability to go back in time. It is also faster at AI code generation and directly creates files where appropriate. I've used the application to build Node js applications, help me support in building plugins for woocommerce for our clients.

While it has a free trial, the subscription is a tad bit expensive or maybe it is just me but honestly it saves a tone of time! While I've used it to build some simple applications, it gives a glimpse of how the future is going to look like in terms of programming.

Getting a piece of code from GPT, Deepseek or Gemini isn't hard but Cursor has the ability to deal with large pieces of code and with the help of context, it gives better code output and thereby the results are better. Some times one agent fails but I could always use another agent. They retained the IDE interface by foking the VS code and adding new features. While IDE is for reference, most of the code could be generated with the help of natural language.

The ability to use multiple LLMs and not be restricted to just one.

I wish it were free to use or integrated with existing cloud platforms.

We are using cursor for software development.