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Cursor

Score9.5 out of 10

75 Reviews and Ratings

What is Cursor?

Cursor is an IDE and code editor built for programming with AI. Cursor includes an autocomplete that predicts the next edit. Once enabled, it is always on and will suggest edits to code across multiple lines.

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Product Demos

Pros

  • Advanced agentic coding capabilities, including multi-agent experiences and cloud agent handoff
  • Effective code correction for files, features, and functionalities
  • Robust LLM features, such as API key management and model switching

Best Agentic IDE

Use Cases and Deployment Scope

We adopted Cursor as a drop-in replacement for VSCode+GitHub Copilot. It's agent integration with code is far superior to VSCode or especially Visual Studio Professional. We have used Cursor to build skills to review PRs, create components, analyze our bug backlog to spot similar bugs or patterns or areas of tech debt, to interrogate Figma or Jira/Azure DevOps tickets for dev-readiness, to spin up AWS infrastructure, to evaluate logs, and so much more. Cursor is your best AI companion for software engineering.

Pros

  • Agentic coding
  • Code review
  • PRD generation
  • Ticket quality evaluation
  • Backlog analysis
  • Test coverage

Cons

  • Pricing

Return on Investment

  • Faster feature development
  • Lower SLAs for defects
  • Higher coding days
  • Lower churn

Usability

Alternatives Considered

Microsoft Visual Studio, Microsoft Visual Studio Code, Claude Code and Replit

Other Software Used

Anthropic Claude, Figma, Replit

Worth the hype.

Use Cases and Deployment Scope

I use Cursor for coding, system design, and api creation and optimization. I'm a full-stack developer, so I use it daily, and it can do 90% of my tasks correctly. The Composer model was good at launch, but now it doesn't meet my expectations. There is a new Grok model; they are all cursor-trained, optimized models, but they do a lousy job for the frontend. They can integrate APIs properly with the right prompt and enough context, but for the frontend, they lack the skills to enhance or fix the UI. I have to be very specific about frontend tasks, and it still can't create a new design or anything. It gets the job done, but for frontend tasks it's not that good. Overall, I'm satisfied, but it could be better.

Pros

  • API creation.
  • Integrations
  • Plan mode for large tasks.
  • Refactoring.

Cons

  • Frontend skill.
  • UI enhancement.
  • New UI ux designs and best practices.
  • It should have frontend skills like Claude.

Return on Investment

  • It's fast.
  • It's precise.
  • It gets the job done most of the cases in a single prompt.

Usability

Alternatives Considered

Claude Code, Google Antigravity, Devin, Ollama and Code-X

Other Software Used

Claude Code, Anthropic Claude, Google Antigravity, Devin

Cursor is the only IDE you need for daily driver

Use Cases and Deployment Scope

It has all the required modes in the agentic chat, like Agent, Debug, Plan, Multiagent, etc, which help us use these tools in a single place with a great UI.

Pros

  • Debug: the debug mode is very useful in the Cursor IDE
  • Plan: It plan the task and module very well
  • CLI: this gives the vibes of the claude code, where we have option to select the best models

Cons

  • It lost the context of the task if i try to do some changes on the existing module which is previously written by Cursor on the new chat.

Return on Investment

  • Till now it have positive impact
  • It has Auto mode, which do the job after the expensive modals quote exhaust which is like the most

Usability

Alternatives Considered

Devin

Other Software Used

Claude Code, OpenAI Codex

Finally it took over the competition.

Use Cases and Deployment Scope

I use Cursor as a development platform because it makes using AI very simple. Instead of changing CLIs all the time in order to get the tokens from each company, Cursor allows me to have one place with all the models, API keys, connections, and everything to make the workflow smoother.

Pros

  • LLM API Keys Management.
  • LLM Switch.
  • LLM session.

Cons

  • The Tiers for non corporate user.
  • The token management need improvement.
  • Auto-reduce the message sent in order to save tokens.

Return on Investment

  • Less stress changing CLI.
  • Less stress managing LLM API Keys.
  • More productivity thanks to having it all in one place.

Usability

Alternatives Considered

Microsoft Visual Studio Code, Google Antigravity and Claude Code

Other Software Used

Google Antigravity, Claude Code, OpenAI Codex

Very speed IDE and CLI product.

Use Cases and Deployment Scope

We use Cursor for code generation, both to access more of the model market and as a backup when Claude has outages. We use it across the full development team. Some of our team members also make extensive use of Cursor's CLI agent, though most use the IDE.

Pros

  • Very fast code indexing.
  • Multi agent experience.
  • Great proprietary models.

Cons

  • The CLI agent can be quite finicky via ACP.
  • It can be hard to understand how much different models will cost.
  • Support can be unresponsive.

Return on Investment

  • The best part is that when Claude has an outage, we can keep moving.

Usability

Alternatives Considered

Claude Code

Other Software Used

Claude Code, Google Gemini