One of the most noticeable shifts in software development over the past few years is how deeply artificial intelligence has entered the everyday process of writing code. Where a code editor was once seen as little more than a window for typing text, it is gradually becoming a thinking partner that suggests solutions and can even make changes on its own. One of the most talked-about tools in this direction is a code editor called Cursor. It is not a magic button that writes programs for you, but a powerful assistant that speeds up the work of both experienced developers and beginners who are just learning to code.
What Cursor is and where it came from
Cursor is an AI-first code editor, meaning it is built around artificial intelligence features rather than treating them as an afterthought. It is based on Visual Studio Code, which is familiar to a great many developers, so its interface, keyboard shortcuts and extensions are almost identical. This is an important convenience, because a developer moving to a new tool does not have to learn everything from scratch — they keep working in a familiar environment that simply has a powerful AI layer added on top. The team behind Cursor had a clear goal: to enrich the act of writing code not just with autocomplete, but with a smart companion that understands the entire project as a whole.
Unlike other editors, Cursor treats artificial intelligence as the central idea of the program rather than a late addition. This means that the chat window, code editing and context understanding all work in close connection with one another. As a result, the developer does not have to keep jumping between separate windows — everything happens in one place, in a natural flow of work.
The main difference between Cursor and GitHub Copilot
Many people compare Cursor with GitHub Copilot, since both offer the developer code suggestions. However, there is a meaningful difference between them. Copilot began primarily as a tool that continues the line of code you are writing or suggests the next few lines. It works well, but it most often thinks only within the file that is currently open. Cursor, on the other hand, tries to understand your entire codebase — that is, it takes into account how the different files in your project relate to one another.
This difference matters a great deal in practice. For example, if you want to rename a function, Cursor can find every place in the project where it is used and fix them all at once. In addition, Cursor lets you ask questions about your code through chat: ask "what does this function do" or "where is this error coming from" and you get an answer based not only on a single line but on the related files as well. Copilot has also expanded over time, but Cursor's philosophy aimed at deeper integration from the very beginning, and you feel it in daily work.
The main capabilities of Cursor in practice
One of the most frequently used features of Cursor is chatting with the entire codebase. You write a question in plain English, such as "where is the part that handles user registration," and Cursor analyses the project and points you to the exact files and lines. This is invaluable help, especially for a developer who has just joined a large and unfamiliar project, since there is no need to manually sift through thousands of lines looking for the right spot.
A second important capability is multi-file editing. You can give Cursor an instruction such as "replace the old API address with the new one across the whole project," and it will find the dozens of relevant files itself, prepare the changes, and let you review and confirm them. Another strong point is the AI agent mode, in which Cursor tries to carry out a complex task step by step on its own: it opens the needed files, writes code and checks the result. And of course there is autocomplete via the Tab key, which predicts what you intend to write next and adds an entire block with a single press.
The value for solo developers and small teams
Cursor is especially convenient for a developer working alone or for a small team. In such situations, each person handles several tasks at once: design, backend logic, fixing bugs and writing documentation. Cursor eases this burden because it takes on repetitive and tedious work. For instance, writing simple CRUD functions, preparing test code or adding comments to the code are all done several times faster with the help of AI, freeing the developer for more demanding work.
This gain in productivity saves time and lets the developer focus more on the main, creatively demanding problems. However, it must not be forgotten that Cursor is not flawless. The AI sometimes suggests code that looks convincing but is actually wrong, so every change should be reviewed and understood by the developer. The right approach is to use Cursor not as a replacement for your own thinking, but as a tool that strengthens your experience and skill.
Strengths, limitations and the question of price
Cursor's greatest strength is its deep understanding of context and the natural way it fits into a developer's workflow. It raises productivity, makes joining a new project easier, and even acts as a mentor for those who are just learning to program. At the same time it has its limits: blindly trusting AI-suggested code is risky, an internet connection is required, and on large projects responses can sometimes slow down. It is important to use the tool while being aware of these drawbacks.
In terms of price, Cursor offers a free plan that provides the core features in a limited amount, which is enough to try the tool out. For active developers there is a paid Pro plan with a monthly fee that opens access to more powerful AI models and a higher number of requests. Compared with other AI editors, such as Copilot inside VS Code or various extensions, Cursor offers a more cohesive and integrated experience. In the end the choice depends on your needs, but if you truly want to work deeply alongside artificial intelligence, Cursor today deserves attention as one of the strongest options available.