Devin Desktop

Devin Desktop

Cognition
+
+

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About

Devin Desktop (formerly Windsurf) is an AI-powered development environment that combines a full-featured IDE with advanced coding agents in a unified workspace. Formerly known as Windsurf, the platform enables developers to manage local and cloud-based AI agents, delegate tasks, review code, and ship software without leaving their editor. Developers can use multiple coding agents simultaneously to research, write, test, debug, and improve code while maintaining full visibility into every change. Devin Desktop includes features such as agent orchestration, shared workspaces, intelligent code completion, contextual code search, and integrated review tools. The platform supports a wide range of models, extensions, language servers, and MCP integrations, allowing teams to work with their preferred tools and workflows. Devin Desktop helps engineering teams accelerate software development, improve productivity, and manage AI-assisted coding at scale.

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

Devin Desktop is designed for software developers, engineering teams, DevOps professionals, technical leads, startup engineering organizations, enterprise development teams, AI-assisted coding users, and businesses seeking to improve software development productivity through autonomous coding agents and intelligent development workflows

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

Free
Individual Plans:

Free Plan: $0
Pro: $15/month
Pro Ultimate: $60/month

For Organizations:

Teams: $35/user/month
Teams Ultimate: $90/user/month
Enterprise: Contact us
Free Version
Free Trial

Pricing

$3/user/month
Free Version
Free Trial

Reviews/Ratings

Overall 4.7 / 5
ease 4.7 / 5
features 4.5 / 5
design 4.4 / 5
support 4.1 / 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

  • * The context awareness is the best I've seen (knows my whole repo). * The quality of the autocomplete/supercomplete is excellent. * New features all the time and they're actually good.
  • It's helpful for any project with little bits of help it gets you really far, gets you to the finish line.
  • - Smart business model. Compared to the raw ChatGPT model you don't feel that message limit, and even when you do, you have plenty of other competitive models to use while you're getting back your capacity. - Auto-completion is useful, but it's pretty much for any assistant - They are listening. Compared to the whales in this niche they do hear us and quickly react, reflect, and implement leading ideas.
  • The autocomplete is easily my favorite feature and the one I use the most. It gets better as you develop more and it really does a great job of understanding your coding style and adapting to it. The conversation chat is also really helpful when I have general app architecture or syntax related questions. I also find myself using the inline commenting feature quite frequently and I love not having to type out all the comments myself.
  • Using Codeium has made refactor suggestions easy by having the ability to highlight specific sections of the code within an IDE! I specifically use VS Code and it has been working pretty smoothly. I also like having the option of having a chat box so that I can discuss other topics.

Cons

  • * The documentation is lacking. * They have the option to use their own models or OpenAI or Anthropic but there's no quantitative comparison of their quality.
  • Content awareness, chat focus, working folder awareness.
  • - The "Ctrl + I" code generator I found to be exceptionally useless. It breaks or deteriorates your code. - GPT-4o is overrated.
  • Although I use the inline action buttons a decent amount, sometimes they clutter the code as I am trying to read through the file. I am not sure if there is an easy way to add a keyboard shortcut that allows for toggling these on/off, but if there is, that would be a nice feature to add.
  • Codeium sometimes struggles to connect to my IDE and I am unable to use. I haven't been able to figure out the cause of this but sometimes I am unable to use Coddium for a couple days and then all of the sudden it is back.

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

Cognition
Founded: 2023
United States
devin.ai/desktop

Company Information

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

Alternatives

JetBrains Junie

JetBrains Junie

JetBrains

Alternatives

Bolt.new

Bolt.new

StackBlitz
Amp

Amp

Amp Code
Claude Design

Claude Design

Anthropic
Devin

Devin

Cognition AI
v0

v0

Vercel

Categories

Categories

Code Editors Features

API
Auto-Complete
Code Folding
Column Editing
Customizable Themes
Debugging
Formatting / Table Editing
Keyboard Shortcuts
Multi-Monitor Editing
Syntax Highlighting
WYSIWYG

Integrations

AIxBlock
Brief
Claude Sonnet 3.7
Deepgram Saga
Figma
GPT-5.2-Codex
GPT-5.5
GPT-5.5 Pro
Gemini 3.5 Flash-Lite
GoLand
JetBrains Aqua
Koidex
Laravel
Maguyva
Mailtrap
Model Context Protocol (MCP)
React
Ruby
RustRover
Windsurf Browser

Integrations

AIxBlock
Brief
Claude Sonnet 3.7
Deepgram Saga
Figma
GPT-5.2-Codex
GPT-5.5
GPT-5.5 Pro
Gemini 3.5 Flash-Lite
GoLand
JetBrains Aqua
Koidex
Laravel
Maguyva
Mailtrap
Model Context Protocol (MCP)
React
Ruby
RustRover
Windsurf Browser
Claim Devin Desktop and update features and information
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