Cursor reviews

for coding, building features and editing ui

Cursor is one of the first clients we built Popcraft MCP for — one-click install, and developers can generate product shots, thumbnails and demo clips right from the editor without switching tools.

When I want to do quick visual edits.

A lot of our code is agent-written now, and Cursor was the first editor that made multi-file agent edits feel normal rather than a side quest.

Cursor has become the go-to AI code editor for developers who want to move faster without sacrificing quality. We chose it because the best dev tools should connect to the rest of your stack.

Cursor has significantly improved my development workflow. It feels like working with an experienced AI pair programmer that understands the project context, helps with multi-file changes, explains code, generates implementations, and assists with debugging. The seamless VS Code experience and strong code editing capabilities make it one of the best AI coding tools available today. Occasionally the AI loses context during very large refactoring tasks, and long-running agent sessions can require manual guidance. Better memory across sessions, improved handling of massive codebases, lower resource usage, and more transparent reasoning during complex edits would make the experience even better. I also evaluated Claude Code, GitHub Copilot, Windsurf, Codex, and VS Code with AI extensions. I chose Cursor because it offers an excellent balance of project awareness, intelligent code editing, multi-file refactoring, debugging assistance, and an interface that fits naturally into my existing development workflow. For most development tasks, yes. Cursor's agents handle code generation, refactoring, debugging, and multi-file changes well. Complex, long-running tasks may still require occasional guidance or review, but the overall reliability is excellent for day-to-day software development. Cursor is generally fast and responsive. AI features naturally use more resources than a standard editor, especially on large projects, but the productivity gains outweigh the additional memory usage in my experience. For typical development workflows, Cursor provides the controls I need. When working with sensitive or proprietary code, it's still important to review the available privacy settings and choose the deployment option that aligns with your organization's security and compliance requirements.

You proved AI works best embedded in the workflow, not bolted on. We're applying that to insurance, finance, and M&A. Just launched on PH!

Cursor handled both greenfield code and large refactors without making us context-switch.

From prototype to final product!

The ease of rapidly prototyping was great with cursor and the use of mcps was easy through Cursor.

Great AI code editor, helps us ship faster, and now both of us founders, can ship code into Production!

Helped turn ideas into a working product faster without a traditional engineering team.