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About

Cursor is an AI coding agent and development platform for building ambitious software faster. The platform lets developers hand off tasks to agents that can build, test, demo, and prepare features for review. Cursor supports autonomous and parallel agent workflows, including cloud agents that can work on multiple tasks across repositories. It runs across the editor, terminal, Slack, and GitHub, helping teams automate coding, code review, PR workflows, and repetitive engineering work. Cursor also lets users choose from leading AI models for different tasks, including models from OpenAI, Anthropic, Gemini, SpaceXAI, and Cursor. Built for developers, engineering teams, and enterprises, Cursor helps accelerate software development while keeping humans focused on decisions and review.

About

Figma Make allows users to turn their design ideas into functional prototypes quickly using AI. It integrates with Figma to enable seamless creation and refinement of high-fidelity prototypes. The platform provides tools to help users convert existing designs into working prototypes by simply copying and pasting frames from design files. Figma Make also enables users to refine designs with AI, making it possible to adjust elements like padding and margins. This tool is perfect for designers who want to create polished, working applications without needing to code.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, engineering teams, software companies, startups, enterprise engineering organizations, product teams, DevOps teams, AI coding teams, code reviewers, and technical leaders that need AI coding agents, autonomous development, cloud agents, parallel task execution, code review, CLI workflows, Slack collaboration, GitHub integration, model choice, automations, and secure software development at scale

Audience

Figma Make is ideal for designers, product developers, and teams looking to quickly prototype and refine ideas without needing extensive coding skills

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$20/month
Free Version
Free Trial

Pricing

$3/user/month
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • Cursor is one of the best AI coding tools because it feels built around how developers actually work. It is not just autocomplete; it can understand a repo, make edits, explain code, help debug, and work through bigger tasks with an agentic workflow. I like that it combines the familiar feel of a code editor with deeper AI features like Agent mode, project rules, MCP, skills, and CLI support. That makes it useful for everyday coding, but also flexible enough for more advanced workflows. The model options and pricing controls are also helpful. Being able to choose stronger or cheaper models depending on the task makes Cursor easier to fit into a real development routine.
  • I'm a novice to intermediate programmer and I've always felt a bit overwhelmed by editors. I've been learning to code by copy and pasting a million times into chatgpt. Switching to cursor saves me so much time, and I love how easy it is to give it the context. It has this awesome feature where you can upload docs into it and it can go pull the docs when answering questions, which was one of my biggest pain points as a user when AI would give me old docs or out of date code. Another epic feature was the natural language terminal commands, which have allowed me to get through projects i previously would get stuck on.

Cons

  • I don't have any cons about Cursor. Use it daily in my development.
  • No IDE is perfect, but this one is by far my favorite. I think most of the cons lie in the limitations of the AI models right now. I think the code interpreter is a littley sketchy to use becuase it's hard to see exactly what code its suggesting I change so I ran into some issues when using it without double checking the work, but it also saved me in a couple spots I got stuck.

Pros & Cons from Real Users

Pros

  • Figma Make feels really useful from a product person’s point of view because it closes the gap between “I have an idea” and “people can actually click through it.” Instead of waiting for a full design sprint or a rough engineering spike, I can describe a flow, generate something interactive, and start reacting to it right away. I especially like that it can start from either a prompt or an existing Figma design. That makes it practical for real product work because most ideas do not start from a blank page. They start from a screenshot, a half-built flow, a customer request, a design file, or a messy stakeholder conversation. The biggest win is speed of iteration. For product managers, early-stage work is all about testing direction, getting alignment, and making tradeoffs visible. Figma Make gives teams a faster way to explore MVPs, dashboards, internal tools, onboarding flows, and feature concepts before committing serious design or engineering time. I also like that it keeps the work inside Figma’s ecosystem. That matters because product, design, and engineering teams already use Figma as a shared source of truth. If AI-generated prototypes can stay connected to design references, component logic, and eventually code workflows, that makes the handoff much less awkward.

Cons

  • I would not treat Figma Make as a replacement for product strategy, user research, or good design taste. It can generate screens and interactions, but it does not automatically know which customer problem matters most, which flow will convert, or which tradeoff is best for the business. I would also want to test how well it handles complex product states. Simple prototypes are one thing, but real software needs permissions, empty states, error states, loading states, edge cases, admin views, analytics events, and a lot of unglamorous details. The seat and credit model is also something teams need to understand before building it into their workflow. Some users can fully publish and use Figma Make, while others may only be able to experiment in drafts depending on their plan and access level.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Cursor
Founded: 2022
United States
www.cursor.com

Company Information

Figma
Founded: 2012
United States
www.figma.com/make/

Alternatives

JetBrains Junie

JetBrains Junie

JetBrains

Alternatives

Bolt.new

Bolt.new

StackBlitz
Claude Design

Claude Design

Anthropic
Devin Desktop

Devin Desktop

Cognition
Amp

Amp

Amp Code
v0

v0

Vercel

Categories

Categories

Integrations

Code Fundi
CodeGuide
DocuWriter.ai
GPT-4
GPT-5.5
GPT-6
Gemini 3.5 Flash-Lite
GitHub
Grok 4.1 Fast
Josys
Kastra
Modern.ai
Motileo
MythOS
OpenCode
Palmier Pro
Requesty
Supadev
Tragentics
Unabyss

Integrations

Code Fundi
CodeGuide
DocuWriter.ai
GPT-4
GPT-5.5
GPT-6
Gemini 3.5 Flash-Lite
GitHub
Grok 4.1 Fast
Josys
Kastra
Modern.ai
Motileo
MythOS
OpenCode
Palmier Pro
Requesty
Supadev
Tragentics
Unabyss
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Claim Cursor and update features and information
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