AI Coding Tools: Cursor, GitHub Copilot and Bolt

The world of software development is undergoing a fundamental transformation thanks to AI. Writing code is no longer something only humans do; AI assistants now work alongside us. Do these tools really boost productivity, or is it just hype? We used three different AI coding tools on real projects for months.

Cursor: The AI-Based Code Editor

Cursor is a VS Code-based editor with AI capabilities built in. It doesn't just complete code; it can make changes across files, debug and refactor.

We used Cursor as our main editor for three months on a Next.js project. My first impression was astonishing. When writing a React component, it suggested all the prop types, state management and even CSS classes based on context. A component I would have written in five minutes, I was finishing in two.

Cursor's strongest feature is its understanding of the codebase. It reads your entire project and makes its suggestions based on your existing codebase. For example, if we were using a design system in the project, Cursor automatically suggested the same components and styles. When a new team member joined, thanks to Cursor they adapted to the project's code style very quickly.

The chat feature is also very useful. When you run into an error, you can ask Cursor why it's happening, and you usually get the right answer. Our debugging time dropped by 40 percent.

A full-stack developer friend of mine says that since switching to Cursor, he has no thought of going back. The time he saves, especially when writing boilerplate code and creating repetitive structures, is very valuable.

As a downside, we found that Cursor can sometimes suggest wrong or outdated code. You need to review every suggestion.

GitHub Copilot: The Line-by-Line Assistant

GitHub Copilot is an AI assistant developed in collaboration between GitHub and OpenAI and integrated directly into your editor. It works in VS Code, JetBrains and other popular editors.

We've been using Copilot for six months on a Python project. Its strongest point is line-by-line code completion. When you type a function's name and parameters, it fills in the body automatically. If you explain what you want by writing a comment line, it generates the relevant code.

A real example: while writing an API endpoint, I wrote the comment "Fetch the user's orders sorted by date." Copilot automatically generated the database query, the error handling and the response format. With small fixes, it was directly usable code.

Copilot really shines at writing tests. After writing a function, when you start typing the function name in the test file, it automatically generates the relevant test cases. Our test-writing time was cut in half.

The downside is that it doesn't have as deep a grasp of context as Cursor. It works very well within a single file, but it doesn't understand relationships across projects as well as Cursor does.

Bolt: The Build-from-Scratch Project Generator

Bolt takes a different approach from the other two tools. It can build a fully working web application from scratch. You write a prompt, and Bolt creates a working project with the complete file structure, components, style files and even a database schema.

We used Bolt at a hackathon. We had to come up with a working product within twenty-four hours. We told Bolt we wanted a task management app, and it produced a working prototype in ten minutes. It built a modern app using React, Tailwind CSS and Supabase. We spent the rest of the time on fine-tuning and adding custom features, and we came second at the hackathon.

Bolt is incredibly fast for prototyping and MVP development. But the code it produces needs to go through a serious review process before it goes to production. There can be security holes, performance problems and gaps in error handling.

v0: Vercel's AI Tool

v0 is a tool developed by Vercel and is especially good at generating UI components. You describe a component, and it produces a fully working React component using shadcn/ui.

We use v0 in our design-to-code process. The designer designs a component in Figma, we describe it to v0, and a very close React component comes out. This process is 60 percent faster than traditional coding.

Windsurf and Replit

Windsurf is an AI editor similar to Cursor and is especially strong at context management in large projects. Replit is a development environment that runs in the browser and is ideal for fast prototyping with its AI assistant.

The Real Impact of AI Coding

According to measurements we made on our team, AI tools increased development speed by an average of 30 to 50 percent. But this speedup isn't equal everywhere.

For boilerplate and repetitive code, there's a 70 percent speedup. Form building, CRUD operations and standard structures are written very quickly with AI.

For complex business logic, there's a 20 percent speedup. AI points in the right direction, but a person needs to fix the details.

For debugging, there's a 40 percent speedup. AI is very good at detecting errors and suggesting solutions.

Conclusion

AI coding tools are transforming software development. But they don't replace developers, they empower them. Used correctly, they deliver a serious productivity gain.

For daily development, use Cursor or GitHub Copilot. Both are excellent and it comes down to personal preference. For fast prototyping, try Bolt or v0. But always review AI output and be careful about security holes.