Efficient and Intuitive UI That Just Works
What do you like best about the product?
Composer is very efficient, and the UI is intuitive. It’s also super simple to set up. I use it every day for both work and personal projects, and it fits smoothly into my routine.
What do you dislike about the product?
Lack of native GIT integration. It seems silly to have to pay for someting lie GitLens Pro to have proper GIT integration (more than Git Graph). I come from JetBrains and they have the best GIT integration I've seen.
What problems is the product solving and how is that benefiting you?
I’ve been using JetBrains for years, but it has become quite slow, and updates seem to take longer to arrive. Sometimes, new releases end up breaking plugins. Because of that, I wanted to try a more community-driven environment with a faster release schedule and solid plugin support.
Cursor Speeds Up Coding with Context-Aware AI Right in the Editor
What do you like best about the product?
Cursor is very easy to use and integrates smoothly into the development workflow. The setup and implementation were quick, and I was able to start using the AI features immediately. I use it frequently while coding because it helps generate, explain, and refactor code efficiently. It also integrates well with existing projects and tools, making it a practical productivity booster.
What do you dislike about the product?
Since I recently started using Cursor, I’m still exploring many of its features. Occasionally, the AI suggestions may need small adjustments, and some advanced capabilities take a bit of time to fully understand. More in-editor guidance or documentation could help new users discover features faster. Overall, the experience has been smooth so far.
What problems is the product solving and how is that benefiting you?
Cursor helps solve the problem of constantly switching between the code editor, documentation, and forums while developing. By integrating AI directly into the editor, it helps generate code, explain logic, and assist with debugging in real time. This improves productivity and speeds up development, especially when working with unfamiliar code or implementing new features. It also makes it easier to understand existing codebases and iterate faster.
AI Everywhere: Chat, Code Completion, and Smart Automation in the IDE
What do you like best about the product?
AI seems to be integrated into every corner of the IDE. You can chat with it, ask it to complete your code, or have it generate code from scratch. It can even update the IDE’s settings and execute CLI commands, which is just amazing.
What do you dislike about the product?
Some plugins do not work, rather works partially. For example the python plugin fails to idetify tests written in pytest framework, which makes life harder to execute tests
What problems is the product solving and how is that benefiting you?
Writing code at scale efficiently and at a fast pace, then testing it, deploying it, and handling much more.
Seamless AI Coding Assistant That Speeds Up Writing, Editing, and Debugging
What do you like best about the product?
What I like best about Cursor is how naturally the AI integrates into the coding workflow. It understands the codebase well and helps with writing, editing and debugging the code much faster. I also like that it can explain parts of the code and suggest improvements without breaking my focus. It feels like having a smart coding assistant inside the editor
What do you dislike about the product?
One thing I dislike about Cursor is that AI suggestions can sometimes be a bit inconsistent, especially with more complex code. Occasionally it generates edit that need manual adjustments. It would also be nice to have more control over how detailed the AI responses are. Overall it's very helpful, but there's still some room for improvement.
What problems is the product solving and how is that benefiting you?
Cursor helps reduce the time spent on repetitive coding tasks and debugging. Instead of searching for solutions or writing everything from scratch, I can get quick suggestions and improvements directly in the editor. This make development faster and helps me stay focused on building features rather than troubleshooting small issues.
AI coding has accelerated our feature delivery and has transformed how our team builds services
What is our primary use case?
My main use case for Cursor is building products for our company; we write all our code mainly in Cursor now.
A quick specific example of a product I have built using Cursor is the maintenance of our current systems and also building new parts. For example, we recently created a presentation generation part of our product, and the entire presentation generation microservice and the other supporting services are written in Cursor. The entire development team of our company uses Cursor for writing code.
I mainly use Cursor for code writing, and debugging is a part of that, of course. However, we sometimes find it easier to use native IDEs such as PyCharm for Python and PHPStorm for PHP for debugging purposes, especially because those have full-powered debuggers. Cursor we mainly use for writing new code.
What is most valuable?
The best features Cursor offers are Cursor Agent and Cursor tab; those are exceptional AI features. After that, it is a really good IDE because it is basically a VS Code fork, so everything good about VS Code is there. It is pretty easy to use and the AI is very good.
Cursor Agent and Cursor tab specifically help me and my team by providing auto completion when I am writing code, where Cursor suggests the code and I can just hit tab and it will complete the code block. Basically, eighty percent of the time, it is giving the perfect code block that I am thinking. Cursor Agent allows me to ask it to do whatever I want, such as write code for something, fix a bug, or explain why something is happening. It will go through my code, analyze it, read it, edit it, and possibly tell me what to do, cutting down our development time by about eighty percent now. Previously, tasks that would take weeks or months can now be completed within days because of these AI tools. The main point is they have been reducing the time I spend writing code.
Cursor has positively impacted my organization by speeding up development time; everything from an idea to deployment has been very fast due to Cursor. It has impacted our efficiency a lot because the number of features we ship within a given time period has increased significantly.
What needs improvement?
I have been noticing recently that Cursor introduced their own model, which is pretty limited; it is very fast, but it is not smart. They might have to improve that, along with the agent selection methodology. When you select auto, you expect it to use the best agent possible and think of the money savings, but it does not always work as expected, sometimes providing bad code or code that has bugs. I think the auto mode selection can improve.
Another concern is the pricing; we have been paying a lot for Cursor recently, which I feel has increased within the last few months, possibly due to our usage going up. We are paying an amount similar to a developer's salary for Cursor now. I believe all the needed improvements are primarily around the auto agent selection mode and pricing. If they could be more transparent about it, that would be appreciated. We only see the bill at the end of the month, and it is often a high amount, so transparency in the pricing would be very helpful for us as developers.
For how long have I used the solution?
I have been using Cursor for almost a year now, more than ten months.
What do I think about the stability of the solution?
Cursor is stable; the only time it went down was during the recent AWS outage, which was not Cursor's fault. It has been very stable otherwise.
What do I think about the scalability of the solution?
The scalability of Cursor is pretty good; I do not think we have to worry about it. Currently, about ten employees in our organization are using it without any issue, so it seems scalable.
Which solution did I use previously and why did I switch?
We previously used GitHub Copilot, but we found Cursor to be more improved. While Copilot was built into VS Code as an extension, Cursor is mainly an AI-focused code editor, which is why we switched since Cursor has better AI features available.
How was the initial setup?
We did not purchase Cursor through the AWS Marketplace. The experience with pricing, setup cost, and licensing is managed by our organization admin, so we were not involved in that.
What was our ROI?
I have seen a return on investment similar to the salary of a single employee, and it does the work of about ten employees right now. Fewer employees are needed, and it has saved a lot of time; it sped up our processes by three times.
Which other solutions did I evaluate?
We evaluated other options before choosing Cursor, including Google's Anti-Gravity, OpenAI Codex, and Vincerf, but ultimately, Cursor and Codex are the ones I use currently.
What other advice do I have?
My advice for others looking into using Cursor is that it is a really good code editor; you can use it for everything, but make sure to read the code it generates because otherwise, you will not know what type of code you are pushing. When giving instructions, ensure they are as detailed as possible, as this will help Cursor return very good code that does exactly what you want. It is important to spend a little more time writing the prompt and explaining what you want; Cursor will handle the rest. However, remember that it is not a replacement for a developer; it is an assistant for developers. I would rate this product a nine out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Clean, Flexible UI with Seamless AI Chat Integration
What do you like best about the product?
It has a great integration between the AI powered chat and the actual interface, there is a lot of flexibility for design with using cursor speficic files and ifferent chats, and the UI is very clean an deasy to navigate.
What do you dislike about the product?
Sometimes the AI may hallucinate or get stuck with troubleshooting, code output may not always be the best.
What problems is the product solving and how is that benefiting you?
It is drastically reducing development time by integrating LLMs with the IDE for coding. It helps us ship integrations and code much more quiclly and come up with documentation a lot more seamlessly.
Claude Code in Cursor Makes Prototyping Workflows Effortless
What do you like best about the product?
i love being able to use claude code within cursor to prototype out all the workflows for our application
What do you dislike about the product?
i dislike that only some intergration and mcp servers are available
What problems is the product solving and how is that benefiting you?
cursor is solving our ability to build and move faster within our platform and being able to validate user workflows
Game changer for my coding workflow
What do you like best about the product?
Cursor is amazing for coding! The AI autocomplete actualy understands context way better than other tools. Sometimes it writes whole functions that just work. My favortie feature is Cmd+K where you can highlight code and ask it to refactor stuff - so much faster than switching tabs. It can be slow when servers are busy tho and ocasionally suggests weird things but overall its a huge timesaver. Definitly worth trying if your a developer!
What do you dislike about the product?
The worst part is when the servers lag and everything slows down it completely kills my flow. Also, the AI sometimes hallucinates functions that don’t exist, so I have to double-check everything. The pricing is confusing with all the different tiers and limits, and memory usage can get pretty heavy too, especially on older machines. Still, I keep using it because, for me, the benefits outweigh these issues.
What problems is the product solving and how is that benefiting you?
Cursor solves the problem of constantly switching between my code editor and ChatGPT or Stack Overflow. Before I'd spend so much time copying code, explaining context, then pasting solutions back. Now the AI just understands my whole project automatically which saves tons of time. It also helps me write boilerplate code way faster - stuff that's repetative but neccesary. The biggest benifit is it catches bugs I might of missed and suggests better ways to structure things. Basicaly it's like having a senior dev looking over your shoulder but without the akwardness. Makes me way more productive and I can focus on the creative problem solving instead of googling syntax errors all day.
Cursor Unifies Multiple AI Models in One Platform
What do you like best about the product?
Cursor brings multiple AI models together in one platform.
What do you dislike about the product?
The Cursor MCP integration isn’t very robust right now, but it has the potential to be.
What problems is the product solving and how is that benefiting you?
Cursor helps me write and review code faster, which makes it easier to ship products quicker than ever.
Cursor Supercharges Productivity with Context-Aware AI Coding
What do you like best about the product?
Cursor significantly improves developer productivity by tightly integrating AI directly into the code editor. Features like context-aware code suggestions, inline code generation, and the ability to ask questions about the existing codebase make debugging and development much faster. The fact that it understands project-wide context, not just single files, helps reduce repetitive work and speeds up complex coding tasks.
What do you dislike about the product?
While Cursor is very powerful, it can occasionally produce inaccurate or overly confident suggestions, especially in complex or edge-case scenarios. There is also a learning curve to using AI effectively within the editor, and performance can sometimes be impacted on larger projects or lower-spec machines. More customization and control over AI behavior would further improve the experience.
What problems is the product solving and how is that benefiting you?
Cursor solves the problem of slow development cycles caused by context switching, manual code searches, and repetitive coding tasks. By providing AI-assisted code generation, intelligent suggestions, and the ability to understand and explain existing codebases, it reduces debugging time and accelerates feature development. This helps improve productivity, code quality, and overall development efficiency.
