I really like Cursor's AI code generation because it automatically generates all the code for me, including complete functions, classes, and entire files without me having to type everything manually. It understands my project structure, which is top-notch. The detailed step-by-step instructions for setting up development and production environments save a lot of manual steps, especially for junior developers. It has significantly reduced the time for MVP creation from weeks to days and eliminated the need to write boilerplate code manually. Cursor is also great for generating 70-80% of the MVP code without manual typing, handling tasks like database schema, API endpoints, and authentication. This has saved us about twenty to thirty hours per week per person on routine coding tasks. Cursor generated the entire project structure, including database connections, API routes, and frontend components, in just one session. It makes our jobs easier by providing clear instructions on installing databases, APIs, and dependencies, significantly reducing the learning curve.
I like that Cursor is a simple tool that allows the use of LLMs very close to the codebase, and for a reasonable price, the number of tokens is generous. The interface is designed to work directly in the relevant files, which is very useful when the codebase becomes large: it is quick to find the functions to correct or improve. The initial installation was very simple.
Cursor has really helped me build AI web applications, including mobile and desktop, even though I don't have full stack developer experience. It mainly helps me with integrating models and data sources, and writing the front end and back end code. What I like most is being able to split things into topics and chats, and name those chats, which I then use to develop different parts of my application, like front end, back end, an agent specifically for mobile development, production environments, and so on. I mainly use it with remote SSH to my staging and production VM for remotely pushing and staging builds, and integrating GitHub, which is very handy. I switched from Lovable because I really didn't like their vibe coding aspect, not having an IDE and not being able to build things without relying on their platform. With Cursor you can build your own apps locally as well as in the cloud, with its own front and back end, so you're not tied to their infrastructure. The main thing I like is Cursor's auto mode. I really like that I can pay a fixed price per month as a small team, so I don't have massive credit bills, and I like that they allow the use of underutilized models and let us leverage them for free, which was a big selling point for me. Cursor is better at building the local development workflow and actually building something long term that is usable rather than just a quick prototype. The initial setup was super easy. I love that you can download it on Windows, and you can have a dual Windows/WSL environment to work with containers and have that development workflow locally. It's a great platform, easy to use, and they keep up to date with the latest models and developments in AI. For our coding, I'd rate it a 10.
Cursor is a technology company that specializes in creating software solutions designed to streamline data analytics processes. The company's innovative platform facilitates efficient analysis, search, and collaboration around data for businesses of all sizes. Cursor's solutions are built to help organizations harness the full potential of their data, enhancing decision-making and operational efficiency. By providing powerful tools that allow users to easily access and interpret complex datasets, Cursor aims to empower teams to generate actionable insights and drive business success.