Cursor

What do you like best about the product?

Cursor has been great to work with. It’s easy to use, and I especially like that it offers different AI models I can switch between depending on what I need in the moment. That flexibility makes it far more useful across different types of tasks. Overall, it feels like a powerful tool that helps me get work done faster and more efficiently.

What do you dislike about the product?

One thing I dislike about Cursor is that when using Frontier models, it's not always clear how quickly API limits are being consumed. For larger or more complex tasks, the usage can add up faster than expected, which sometimes interrupts my workflow. I would appreciate more transparency and control over API usage so it's easier to manage limits and avoid unexpected restrictions.

What problems is the product solving and how is that benefiting you?

Cursor helps me develop software faster by reducing the time I spend on routine tasks like writing boilerplate code, debugging issues, and searching for answers online. Having AI assistance directly inside the editor makes it easier to understand existing code and implement new features. As a result, I can focus more on solving problems and building products rather than getting stuck on small technical details.

What do you like best about the product?

I mostly use Cursor for coding. It helps me with developing the architecture of new projects, handling day-to-day development tasks, making critical decisions, refactoring old codebases, and enhancing UI/UX interfaces easily. I really appreciate the live web inspector, plan mode, and the ability to run multiple agents in parallel. These features make me work faster on my projects and save time. I find that Cursor offers better LLM responses and handling of codebases, providing a better IDE for more quality work, and it operates faster. The initial setup was very easy.

What do you dislike about the product?

Running terminal tasks in Windows using PowerShell needs improvement. It always gets stuck, and I have to stop the process. It would be better if this was running smoothly and fast as in macOS, thus making my work faster.

What problems is the product solving and how is that benefiting you?

I use Cursor for developing architecture, daily dev tasks, making critical decisions, and refactoring code. It helps enhance UI/UX easily and speeds up my work, saving time.

What do you like best about the product?

I like that I can have full control over the chat responses and output, which really helps me customize my experience. Adding a /continual-learning loop is fantastic as it makes a learning system that keeps improving by evaluating the process and optimizing for better, faster, and more effective results next time. Even though I don't know much about coding, Cursor allows me to request changes to GUI settings and logs them, which is super helpful. The fact that it took a while to get everything set up just right and now it works 90% of the time right away is a testament to its capabilities. As my first GPT-IDE, after a lot of work, Cursor has really helped me take off.

What do you dislike about the product?

I still have to battle a lot of assumptive thinking, where the model fills in nonsense or details that I didn't request, or sometimes decision making goes through some nonsense steps and wastes tokens. Also, it's taken well over a year to get to a point where I feel confident and comfortable that the model will get about 90% right the first time.

What problems is the product solving and how is that benefiting you?

Cursor allows me to request GUI changes without coding, manage my systems, and automate processes. Its continual-learning loop enhances my experience by improving efficiency over time.

What do you like best about the product?

The cursor AI agent understanding day by day about my ideas and implementing it with littlest prompts is mind blowing.

What do you dislike about the product?

The memory it takes sometimes even multitasking leaves my MacBook Air stuck using anything else.

What problems is the product solving and how is that benefiting you?

It’s helping me to develop the apps just from an idea within hours. No vibe coding , a 100% native app built with professional accuracy and precision. From taking 12 months of development to taking 2-3 months much better proficiency and 100x better features

What do you like best about the product?

I like Cursor for making it easy to fix bugs and creating projects in minutes. I also appreciate the support it offers for creating agents and MCP. Additionally, I find it easy to add and use hosted models.

What do you dislike about the product?

Cursor provides excellent support for cloud-hosted models, but it still lacks a comprehensive, centralized model registry where organizations can easily register, manage, govern, and use self-hosted models alongside existing providers. Self-hosted models should be treated as first-class citizens, with a unified experience for model selection and switching, consistent permissions, monitoring, and smooth integration across agents, tools, and workflows.

What problems is the product solving and how is that benefiting you?

Cursor helps solve complex coding features, fix bugs, and test end-to-end web application flows. It's quick to create projects, fix bugs, and supports creating agents and MCPs.

What do you like best about the product?

I like Cursor's current connection to VS Code and its ability to work with files like an IDE, which is great for reviewing diffs. I'm particularly fond of the drag and drop feature for files to chat and context. Being a developer, using an IDE-like tool gives me enough control over the code produced by AI. I find drag and drop extremely useful because I can easily put specs or code files right into the conversation at the needed place, making it meaningful in the scope of the conversation. Additionally, the initial setup of Cursor was very easy, which I appreciate.

What do you dislike about the product?

Well, when I use plan mode it consumes context window. And when I press build - it still works in scope of that busy context while it can make sense to start from scratch or summarize the context after (and according to) the planning. And some choice or setting if context should be summarized.

What problems is the product solving and how is that benefiting you?

Cursor supports almost the full SDLC from spec creation to deployment. Its connection to VS Code and IDE-like capabilities give me control over AI-produced code. The drag and drop feature is extremely useful for embedding specs or code files into conversations meaningfully.

What do you like best about the product?

I love the planning and debugging features offered by Cursor

What do you dislike about the product?

After trying several coding agents, I honestly can’t find anything to dislike about Cursor compared with the others I’ve used.

What problems is the product solving and how is that benefiting you?

It helps me debug major production issues, plan large features, and complete tasks that would have taken days in just minutes.

What do you like best about the product?

The interface and user experience are excellent.

It perfectly adapts to a developer's workflow.

I really liked being able to clearly see in the interface when the agent is editing the code, which allows me to monitor the changes accurately.

Also, something I'm still experimenting with, but I managed to connect my own MCP server with Cursor.

The implementation process was perfect because I was used to using Visual Studio Code as an IDE, so it was very quick and smooth to implement Cursor in my work as the main IDE and recommend it to the rest of the team I am in charge of.

I also really like the automations I achieve with the commands.

What do you dislike about the product?

It is still very expensive to use the LLM AI models that work best. And it's difficult to achieve a return on investment.

What problems is the product solving and how is that benefiting you?

Before using cursor, it was impossible to program complete projects with context. And now with cursor, it perfectly solves that by providing a lot of flexibility to give the correct context of the project.

It also integrates different agents that can work simultaneously, performing tasks on the project and even interacting with MCP and Terminal.

What do you like best about the product?

I use Cursor as my primary AI-powered code editor for software development tasks, and I really appreciate how it helps with writing new code, debugging issues, understanding existing codebases, and more, especially for languages like Java, Spring Boot, JavaScript, React, SQL, and API development. The deep AI integration in the development environment is something I like a lot, as it understands the context of the entire codebase to provide relevant code suggestions, explanations, and debugging assistance, which boosts productivity. The chat interface is also a favorite feature because it makes it easy to ask questions, generate implementations, and refactor existing logic without constantly switching between different tools. Having this kind of integration directly in the editor saves a lot of time by generating boilerplate code, suggesting improvements, and providing troubleshooting assistance during debugging. I also find it valuable that everything is integrated into the code editor, allowing me to ask questions, generate code, review changes, and refine implementations without switching between documentation sites and search engines. This really streamlines the workflow, allowing me to focus on solving business problems and improving code quality. The seamless integration of AI-assisted capabilities makes daily development tasks much more efficient.

What do you dislike about the product?

While Cursor is a powerful development tool, there are a few areas that could be improved. Occasionally, the AI may generate solutions that appear correct but require additional validation and testing before being used in production. For complex business logic or large-scale architectural decisions, manual review is still necessary to ensure accuracy and alignment with project requirements. Response quality can also vary depending on the complexity of the codebase and the context provided. In some cases, more precise understanding of project-specific conventions would help improve suggestions. Additionally, AI-generated responses can sometimes be slower when working with large repositories. Enhancements in performance, context awareness, and consistency of suggestions would make the overall experience even better.

What problems is the product solving and how is that benefiting you?

I use Cursor to save time with AI-generated code suggestions and debugging assistance, helping me understand complex codebases faster, automate routine tasks, and improve code quality. Its integration in the editor streamlines my workflow, enhancing productivity and enabling efficient delivery of features.

What do you like best about the product?

1. I really like having the option to use different models within the same project, since it makes it easier to choose what works best for each task.
2. Familiar user interface for the traditional developers.
3. Speed of composer 2.5

What do you dislike about the product?

1. It’s expensive.
2. There are frequent updates pushed out—almost every other day.
3. The interface can be buggy at times, and the app sometimes hangs.

What problems is the product solving and how is that benefiting you?

It helps me with planning and development of code.