Product category
Implied
The page never uses a category label like "IDE" or "AI coding assistant" as a definitional statement, but it describes itself via phrases like "A world-class IDE," "Devin Desktop includes a full IDE with syntax highlighting, autocomplete, and debugging tools," and "Manage fleets of local and cloud agents from one surface." Combining these, a reader can infer this is an AI coding agent platform / IDE with agent orchestration, but no single sentence explicitly names the product category (e.g., "Devin Desktop is an AI-powered IDE for managing coding agents").
Target customer
Implied
The homepage refers to "engineer" ("A team of agents for every engineer"), "developers" ("Trusted by developers"), and shows testimonials from Research Engineers, Engineering Leads, and IT Architects at companies like Ramp, Harvey, and NVIDIA. This implies the target customer is software engineers and engineering teams at tech companies/enterprises, but there's no single explicit statement like "built for software engineers" or "our target customers are..."
Primary problem
Implied
There is no explicit sentence naming a problem (e.g., "developers struggle with X"). It can be inferred from phrases like "Manage fleets of local and cloud agents from one surface" and "the first tool that lets them manage all of them together, with shared context, from one place" (from a testimonial) that the problem is fragmented/disorganized management of multiple coding agents across different tools and environments.
Core product
Explicit
"Manage fleets of local and cloud agents from one surface. Plan, delegate, review, and ship without leaving your editor." and "Devin Desktop includes a full IDE with syntax highlighting, autocomplete, and debugging tools built in for you to stay in flow."
Differentiation
Explicit
"Work across models and agents, powered by the Agent Client Protocol (ACP)." and "Fast Context finds the exact files and lines your agent needs—in milliseconds." and "Use Spaces to share context and Git worktrees across all your agents." These are concrete, specific technical capabilities distinguishing the product.
Evidence (social proof)
Explicit
"1M+ Users Trusted by over a million developers worldwide" and "4000+ Enterprise Customers" along with named testimonials such as: "Devin Desktop makes it easy to dispatch and monitor our array of agents from a single command center... Shaiyon Hariri, Research Engineer" and "NVIDIA is joining Cognition's research preview for multi-agent support in Devin Desktop... Subhash Ranjan, Engineering Lead - AI Tools."
Extracted homepage content
* Product
* Solutions
* Customers
* Resources
* Pricing
Contact salesLog inDownload
# Devin Desktop
Manage fleets of local and cloud agents from one surface.
Plan, delegate, review, and ship without leaving your editor.
Download for MacOS
THE HOME FOR EVERY AGENT YOU RUN
LEARN MORE →
Agent
Editor
New session
Sessions
Spaces
Widen the model hidden dimension
Working...
Switch the MLP activation to GELU
42m ago•
Learning rate tuning
Increase the Muon matrix learning rate
Working...
Add a learning rate warmup phase
PR is ready•
Tune the WSD warmdown ratio
Waiting for CI•
Establish the training baseline
3h ago•
Add QK-norm and value embeddings
1h ago•
Sessions
Board
List
Display
Status
Space
Pull request
Agent
Clear filters
Running2
Widen the model hidden dimension
Working...
Learning rate tuning
Increase the Muon matrix learning rate
Working...
Waiting for review2
Learning rate tuning
Add a learning rate warmup phase
PR is ready•
Learning rate tuning
Tune the WSD warmdown ratio
Waiting for CI•
Done3
Switch the MLP activation to GELU
42m ago•
Establish the training baseline
3h ago•
Add QK-norm and value embeddings
1h ago•
main
Launchpad
0
0
Screen Reader Optimized
Ln 231, Col 29
Spaces: 2
UTF-8
{ } TypeScript JSX
Cognition Platform (Enterprise)
Windsurf - Settings
Agent Command Center
## A team of agents for every engineer.
Devin Desktop is the home for coding agents to do *your* best work.
You decide what to build, then your agents write the code, chase the edge cases, and test every detail.
autoresearch
Establish the training baseline
Add QK-norm and value embeddings
A world-class IDE
## The power of an IDE, exactly when you need it.
Read, trace, and debug every change your agents ship.
Devin Desktop includes a full IDE with syntax highlighting, autocomplete, and debugging tools built in for you to stay in flow.
autoresearch
train.py
116
```
self.mlp = MLP(config)
```
117
118
```
def forward(self, x, ve, cos_sin, window_size):
```
119
```
x = x + self.attn(norm(x), ve, cos_sin, window_size)
```
120
```
x = x + self.mlp(norm(x))
```
121
```
return x
```
122
123
124
```
class GPT(nn.Module):
```
125
```
def __init__(self, config):
```
126
```
super().__init__()
```
127
```
self.config = config
```
128
```
self.window_sizes = self._compute_window_sizes(config)
```
129
```
self.transformer = nn.ModuleDict({
```
130
```
"wte": nn.Embedding(config.vocab_size, config.n_embd),
```
131
```
"h": nn.ModuleList([Block(config, i) for i in range(config.n_layer)]),
```
132
```
})
```
133
```
self.lm_head = nn.Linear(config.n_embd, config.vocab_size, bias=False)
```
134
```
self.resid_lambdas = nn.Parameter(torch.ones(config.n_layer))
```
135
```
self.x0_lambdas = nn.Parameter(torch.zeros(config.n_layer))
```
136
```
# Value embeddings
```
137
```
head_dim = config.n_embd // config.n_head
```
138
```
kv_dim = config.n_kv_head * head_dim
```
Agent Client Protocol
## All the models, All the agents.
Work across models and agents, powered by the Agent Client Protocol (ACP).
micrograd
Implement backprop
implement backprop from scratch — a minimal scalar autograd engine, like micrograd
I'll build a single `Value` type that records the computation graph as expressions run, then backpropagates with reverse-mode autodiff. Starting from an empty repo with the node scaffold — the data, its gradient, and the edges to its parents.
engine.py+9
Each forward op returns a new `Value` and stashes a local `\_backward` closure — the chain rule for that op, pushing the output gradient into its inputs.
engine.py+17
engine.py+13
Now the backward pass itself: topologically order the graph from the output, seed its gradient to 1, and run the stored closures in reverse so each node is fully accumulated before its parents are reached.
engine.py+12
Sanity-checking the gradients against PyTorch on a small expression with a reused variable, so the accumulation is actually exercised.
test\_engine.py+9
python -m pytest test\_engine.py -q
Done — a ~50-line autograd engine, written from scratch. `backward()` topo-sorts the graph and applies each op’s local gradient in reverse, accumulating with `+=` so reused sub-expressions sum correctly. The gradient check matches PyTorch to 1e-6.
Code
SWE-1.6 Fast
Devin Local
AgentsDevin CloudDevin LocalCodexClaude AgentOpenCodeCascade
Local
micrograd
Spaces
Spaces
Onboarding Flow Redesign
feat/onboarding-flow-design
Build onboarding UI
Working…
Update onboarding API endpoints
Working…•
Fix authentication error
12m ago•
Improve Unicode normalization
Waiting for approval•
Implement UTF-8 encoding
2d ago•
### One Space for every agent
Use Spaces to share context and Git worktrees across all your agents.
Supercomplete
### Tab, Tab, Ship
Supercomplete predicts your next thought, not just your next edit.
## Agents on ACP
Fast ContextWhere is reconciliation scheduled?
### Instant codebase context
Fast Context finds the exact files and lines your agent needs—in milliseconds.
1 Bug
setFakeTimerMarker sets clock to false instead of resetting itBug FakeTimers.zig:188
3 Flags
Mark all as read
Test order dependency - first test assumes clean stateInvestigate 25869.test.ts:20-23setFakeTimerMarker silently ignores errorsInformational FakeTimers.zig:179-189Comment at line 185-187 is inconsistent with implementationInformational FakeTimers.zig:185-187
### Never miss a detail
Rapidly (or deeply) review every agent diff—before you push.
### Free world-class models
Unlimited access to SWE-1.6, the fastest coding model in the world.
plan.md
To build a dashboard for real-time store sales data, we will stream events from Kafka over websockets and render them onto a three.js globe.
View planImplement in Cloud
### Effortless handoff to the cloud
The only IDE designed for you to close your laptop.
Customers
## Teams building with Devin Desktop
> Devin Desktop makes it easy to dispatch and monitor our array of agents from a single command center. We're excited to partner with Cognition to bring the agents Ramp engineers already use into one shared workspace, making it easier to jump between tasks, preserve context, and get more done.
Shaiyon HaririResearch Engineer
> At Harvey, we built our internal background agent, Spectre, to work across long-running engineering efforts while carrying organizational context for our legal research, engineering, product, and design teams to seamlessly collaborate. With Devin Desktop's support for custom background agents, that context now extends to every engineer's laptop, so humans and agents work from the same shared understanding instead of starting from scratch.
Joey WangEngineering Lead
> NVIDIA is joining Cognition's research preview for multi-agent support in Devin Desktop. Our engineers run multiple agents across complex workflows every day, and we're excited to help define how they share context and coordinate in one place.
Subhash RanjanEngineering Lead - AI Tools
> We've been working closely with Cognition as a design partner on multi-agent support in Devin Desktop. Our engineers run multiple agents every day and Devin Desktop is the first tool that lets them manage all of them together, with shared context, from one place.
Rahul ChalamalaMember of Technical Staff
> Devin Desktop gives our teams the same intelligent agent experience, but with the full permissions and flexibility of their local machines. For development work that benefits from a faster, more hands-on environment, it's a natural fit. It's snappier, it's accessible, and it fits the way a lot of our developers are working today.
Ciprian NechitaSenior IT Architect
## Make Devin Desktop your own
Extend Devin with the tools, skills, and plugins your team already uses.
Slack
MCP Server
Search channels and messages, send and read messages, and access user profiles.
ESLint
Extension
Find and fix problems in your JavaScript and TypeScript code.
Linear
MCP Server
List, create, update, and query issues, projects, initiatives, cycles, and comments.
rust-analyzer
Language Server
Code completion, go-to-definition, and inline diagnostics for Rust.
Notion
MCP Server
Retrieve and manage pages, databases, and comments; search across your workspace.
Prettier
Extension
Opinionated code formatter that enforces a consistent style across your codebase.
Figma
MCP Server
Get files, nodes, and images; manage comments, components, styles, and webhooks.
clangd
Language Server
C and C++ language server with completion, navigation, and diagnostics.
Sentry
MCP Server
Retrieve issue data and stack traces; search, filter, and update issue status.
Windsurf Pyright
Extension
Fast type checking, IntelliSense, and diagnostics for Python.
Stripe
MCP Server
Create and manage customers, products, subscriptions, invoices, payouts, and refunds.
gopls
Language Server
The official Go language server for completion, navigation, and refactoring.
Vercel
MCP Server
Manage projects and deployments, analyze logs, and search Vercel documentation.
Datadog
MCP Server
Retrieve telemetry insights and manage incidents, monitors, logs, dashboards, and traces.
Atlassian
MCP Server
Access Jira and Confluence — manage issues and create enterprise documentation.
## So good you can't work without it
Download for MacOSRequest a demo →
PRICING OVERVIEW
## Learn about our plans
Free
$0
Download
ProPOPULAR
$20per month
Select plan
MaxNEW
$200per month
Select plan
Teams
$80/mo + $40/mo per full seat
Select plan
Enterprise
Let's talk
Contact us
STATS
## Trusted by developers.
1M+
UsersTrusted by over a million developers worldwide
4000+
Enterprise CustomersStartups, agencies, and enterprises
## Frequently Asked Questions
What is Devin Desktop?
Devin Desktop is the new name for Windsurf. We’re building on the IDE foundation of Windsurf to introduce the command center for managing all your agents in one place. The Agent Command Center (Spaces, Kanban view, and multi-agent management) is front and center, while the full IDE experience you know remains fully accessible.
Read the announcement →
How do I upgrade to Devin Desktop from Windsurf?
Devin Desktop arrives as a standard over-the-air update, so your plan, pricing, extensions, and settings all carry over automatically. You can also download the latest Devin Desktop version from the download page.
Will I lose anything if I update?
The IDE, your extensions, workflows, settings, and in-progress work will all remain intact and will be fully migrated when you update. Only the name and branding are changing.
Learn more in the docs →
Does my plan or pricing change?
No. Your current plan and pricing stay exactly the same, including legacy Windsurf Enterprise plans.
Learn more in the docs →
What is happening to JetBrains support?
Windsurf for JetBrains (IntelliJ IDEA, PyCharm, WebStorm, and more) continues to be available for download.
Get Windsurf for JetBrains →
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Metadata
| Source URL | https://codeium.com |
| Crawled | Jul 21, 2026 at 08:48 UTC |
| Analyzed | Jul 21, 2026 at 08:48 UTC |
| Provider / model | anthropic / claude-sonnet-5 |
| Prompt version | v4 |
| HTTP status | 200 |
| Rank by score | #41 of 100 — see Explore to compare |