Devin Desktop vs. SWE-2 Comparison


Devin Desktop Cognition	SWE-2 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 SWE-2 is Cognition’s advanced coding model designed to improve software engineering performance while reducing the cost of agentic coding workflows. The model is post-trained from Kimi K3 and uses reinforcement learning to optimize multiple reasoning-effort levels within a single training run. SWE-2 is designed to explore codebases more selectively, begin implementation sooner, and complete tasks with fewer redundant reads and reasoning steps than earlier Cognition models. Its capabilities include code generation, debugging, test creation, verification, repository analysis, and complex terminal-based software engineering tasks. The model also emphasizes stronger engineering judgment, end-to-end test coverage, instruction following, and evidence-based verification of user assumptions. SWE-2 is available through Devin Desktop and Devin CLI, with broader rollout planned across Devin Web and Fusion.
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 Software developers, engineering teams, AI coding agent users, DevOps professionals, and organizations that need capable agentic software engineering with lower execution cost and more efficient reasoning
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 View more images or videos	Screenshots and Videos View more images or 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 $20/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 Read all reviews	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 Read all reviews
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 The biggest thing that stands out is the cost-performance balance. SWE-2 is not just trying to top one benchmark; it is trying to get very close to frontier coding performance at a much lower cost. For developers, that matters a lot. Coding agents can burn through tokens quickly when they are reading files, making edits, running tests, and iterating. A model that performs near the top while being meaningfully cheaper is much easier to use every day. I also like that SWE-2 seems built for real software engineering workflows, not just isolated code snippets. The strong DeepSWE and Terminal-Bench results make it especially interesting for repo-level tasks, debugging, tool use, and longer agent runs. Cons Benchmarks are useful, but real projects bring messy architecture, flaky tests, undocumented behavior, and weird edge cases.
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 Cognition Founded: 2023 United States cognition.com
Alternatives JetBrains Junie JetBrains	Alternatives Claude Fable 5.1 Anthropic
Bolt.new StackBlitz	Claude Mythos 5.1 Anthropic
Amp Amp Code	GPT-5.6 Sol OpenAI
Cursor	SWE-1.7 Cognition
Cosine View All	SWE-1.6 Cognition View All
Categories Agentic AI AI App Generators AI Code Generators AI Code Refactoring AI Code Review AI Coding Agents AI Coding Assistants AI Copilots AI IDEs AI Tools Code Editors Code Review IDE Vibe Coding	Categories AI Coding Models AI Models
Show More Features 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 C C# C++ CSS Devin Go HTML JavaScript PHP Python R Ruby Swift TypeScript Android Studio Claude Devin Desktop OpenSpec Windsurf Browser XML Show More Integrations View All 136 Integrations	Integrations C C# C++ CSS Devin Go HTML JavaScript PHP Python R Ruby Swift TypeScript Android Studio Claude Devin Desktop OpenSpec Windsurf Browser XML Show More Integrations View All 32 Integrations
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