Devin Desktop: The New Name for Windsurf

Windsurf is now Devin Desktop

Windsurf did not close, and its editor did not vanish. Cognition has renamed it Devin Desktop and expanded the idea around it. The product still contains the IDE, extensions, settings and coding workflow familiar to Windsurf users. The new center of gravity is an Agent Command Center where a developer can direct, monitor and review several local and cloud coding agents from one surface. The official migration is delivered as a normal application update, with existing work and configuration carried forward. For buyers, this is a rebrand with a meaningful product direction attached, not a clean break from the old editor.

That distinction matters because the name Windsurf still appears in searches, tutorials, installed applications and team documentation. A person asking whether Windsurf is worth using in 2026 is now really asking two questions. Is the underlying AI-native editor still good for hands-on coding? And does Devin Desktop's wider agent-management layer improve the way an engineer delegates work? The answer depends less on how much code an agent can generate in a demonstration and more on whether the developer can understand, review and safely ship the changes it produces.

The stable record, the active name

WhatAI is keeping the stable windsurf record ID so existing links and discussion history do not break. The visible product name is now Devin Desktop, with Windsurf retained as an alias. This mirrors the company's own migration guidance: Devin Desktop is the new name for Windsurf, and the application arrives through an over-the-air update. Cognition says users keep their plans, pricing, extensions, workflows, settings and in-progress work. The old Windsurf URL now redirects to Devin's Desktop page, while the documentation and changelog have moved into the broader Devin product family.

The change follows Cognition's acquisition of Windsurf and its attempt to bring editor-native assistance and autonomous software work into one environment. Windsurf was already known for Cascade, codebase awareness, inline completion and agentic edits. Devin Desktop preserves those capabilities while adding a workspace for several agents, including Devin Cloud, Devin Local, Cascade and supported third-party agent interfaces. The product is no longer presented only as an AI code editor. It is presented as the desktop command center for engineering agents.

What the Agent Command Center changes

Traditional AI editors assume one developer is having one active conversation beside the code. Devin Desktop assumes an engineer may have several pieces of delegated work in progress. Its command center uses a Kanban-style view to show tasks that are working, blocked, waiting for review or complete. Spaces provide shared context and Git worktrees so different agents can operate without trampling the same files. The developer can move between delegation and direct editing rather than opening a separate agent service, terminal and code-review surface for every task.

This is a useful response to a real problem created by stronger coding agents. When an agent can work for longer, the bottleneck shifts from typing the next instruction to tracking what has been attempted, which branch contains the change, what failed and what is ready to inspect. A command center can reduce that coordination cost. It can also create an illusion of productivity if the board fills with poorly scoped tasks whose outputs all require rescue. More concurrent agents do not automatically create more finished software.

The IDE still matters

Under the agent layer is a full development environment with syntax highlighting, autocomplete, debugging and code navigation. Supercomplete predicts larger edits beyond a simple next-token suggestion. Fast Context is designed to locate the files and lines relevant to an agent request. Cascade remains available with Code and Chat modes, tool calling, checkpoints, voice input, linter integration and awareness of editor and terminal context. Devin Local gives the desktop another local agent path, while Devin Cloud handles longer remote work where the plan includes access.

The balance between delegation and inspection is the product's strongest idea. A developer can ask an agent to investigate or implement a task, then read, trace and debug the resulting change in the same application. That is more credible than treating generated code as an opaque package. The IDE is not merely a fallback for moments when the agent fails. It is the place where the human establishes whether the change fits the architecture, handles edge cases, passes tests and deserves to ship.

Pricing now belongs to the Devin family

The current pricing page lists five plans. Free costs $0 and includes a light agent quota, limited model availability, unlimited inline edits and unlimited Tab completions. Pro costs $20 per month and adds increased quotas, full model availability, access to frontier models from OpenAI, Anthropic and Google, free use of SWE 1.7 and leading open-source models, Devin Cloud access and the option to buy extra usage. Max costs $200 per month and is intended for power users who need significantly higher quotas.

Teams costs $80 per month for the team plan plus $40 per month for each full developer seat. It includes the Pro foundation with shared work, centralized billing, an admin analytics dashboard and priority support. Enterprise uses custom pricing and adds higher-priority support, account management, SAML or OIDC single sign-on, centralized controls and a dedicated deployment option. The comparison table also references integrations such as Slack, Microsoft Teams, Linear, Jira, GitHub, GitLab and Bitbucket, with some capabilities varying by plan.

The price is not the whole cost

Paid plans use allowances that refresh on daily and weekly schedules. Cognition says the cost of a message varies with the selected model, task size, complexity and reasoning. If included usage runs out, extra consumption can be purchased at API pricing. That means two developers on the same plan can have very different experiences. Short fixes using smaller models may stretch a quota, while large repositories, long contexts and premium reasoning models can consume it faster.

A buyer should not compare Pro and Max using the monthly price alone. Run a representative week of work and record which model was used, how much context was supplied, how many retries were needed and whether the output reached an accepted pull request. Prompt caching, model selection and task scope can change consumption. The Adaptive router may help choose a model and display pricing context, but it does not remove the need to understand usage. The useful unit is cost per reviewed outcome, not messages sent.

Start with one agent, not a fleet

The command-center design makes it tempting to launch several agents immediately. A better evaluation begins with one contained task in a repository the developer understands. Choose work with a clear acceptance test: fix a reproducible bug, add validation to a known endpoint, refactor a module without changing behavior or implement a small feature behind a flag. Provide the relevant architecture notes, test commands and boundaries. Ask the agent to explain its plan before changing files.

Review the first run as evidence about process, not just output. Did the agent locate the correct code? Did it understand the repository conventions? Did it change unrelated files, introduce dependencies or weaken existing tests? Could it explain why the solution was appropriate? Run the normal test suite, linting, static analysis and security checks outside the conversation. A green agent summary is not a substitute for the repository's actual quality gates.

Once one agent can complete a bounded task reliably, introduce a second task in a separate worktree. Use Spaces to share only the context both tasks require. Keep ownership clear and avoid assigning overlapping changes to multiple agents. The purpose of concurrency is to reduce waiting, not to create a merge-conflict factory. A team should know who reviews each result, what happens when an agent is blocked and when the human should stop delegation and edit directly.

Cascade, Devin Local and cloud agents are different tools

Devin Desktop can place several agent types beside one another, but they should not be treated as interchangeable names for the same behavior. Cascade is the editor-aware assistant familiar from Windsurf, with checkpoints, modes and access to local development tools. Devin Local is another local agent integrated into the desktop. Devin Cloud can continue work remotely. Third-party agents may connect through supported protocols and bring their own models, permissions, configuration and billing conditions.

The practical choice is task-dependent. Tight interactive debugging benefits from an agent that sees the active editor, terminal and selected code. A longer migration or research task may suit a cloud agent that can continue independently. A fast inline completion does not need a full autonomous session. Teams should define which agent is approved for which data, repository and action instead of letting every agent inherit every permission because it appears in the same interface.

Skills, rules and memories improve repeatability

Cascade Skills can package scripts, templates, checklists and instructions for complex work. Rules communicate persistent preferences at global or workspace level, while Memories can carry useful context between conversations. These features reduce the need to repeat repository conventions in every prompt. They also turn hidden prompt behavior into an operational asset that needs maintenance. A stale deployment checklist or incorrect rule can cause the same mistake repeatedly, at agent speed.

Keep these instructions in version control where possible, assign an owner and test changes on representative tasks. Separate universal engineering standards from repository-specific rules. Do not put secrets into memories or prompt files. If a skill can execute scripts or guide tool use, review it with the same care as automation code. The more consistently an agent follows an instruction, the more important it is that the instruction is correct.

Data controls need deliberate attention

Cognition's security documentation states that data is encrypted in transit and at rest and that the company has SOC 2 Type II certification. It also says customer data may be used for model training by default. Paid-plan users can opt out through Data Controls, after which Cognition says customer data will not be used for training and zero-data-retention settings will be enabled with model providers. On Teams, an administrator controls that opt-out. Enterprise data is not used for training without prior written consent.

That default is important for source-code use. Before opening a private repository, confirm the account's data setting, the organization's policy and the agreement that governs the plan. Review which model provider receives context, what is retained, who can share conversations and which repositories each integration can access. Use least-privilege credentials and keep production secrets out of prompts, logs and test fixtures. A coding agent's usefulness depends on deep context, which is exactly why its data boundary must be understood.

Cognition states that code and other work product produced by Devin are treated as the user's intellectual property for commercial use, subject to a restriction on using output to train a competing product. That vendor statement is helpful, but organizations should still review licensing, generated dependencies and copied code. An agent can introduce a package or reproduce a familiar pattern without providing the provenance a legal or security team expects. Automated dependency and license checks belong in the normal review path.

Where Devin Desktop fits

Cursor remains the closest comparison for developers who want an AI-first editor with strong interactive assistance and agent modes. GitHub Copilot is a natural fit for teams that want AI inside established IDEs and GitHub workflows. Replit is more browser-centered and combines coding with hosted execution and deployment. Devin Desktop is most distinctive when a developer wants a full local IDE plus a visible command center for several local and cloud agents.

It is not automatically the best option for a beginner learning basic programming. The product assumes enough engineering judgment to scope tasks, inspect diffs, understand tests and recognize architectural mistakes. It may also be excessive for a developer who mainly wants autocomplete and occasional chat. Its value rises with the amount of delegated work a capable reviewer can manage, not with the number of agents a user can launch.

The WhatAI verdict

Devin Desktop is a credible evolution of Windsurf. It keeps the editor, Cascade, Tab completions and codebase-aware workflow that made Windsurf recognizable, then adds a management layer for agent work. The rebrand is potentially confusing, but the migration itself is unusually clear: existing Windsurf users receive the new product through an update and retain their plans, extensions, settings and in-progress work. The stable WhatAI record therefore remains windsurf while presenting Devin Desktop as the active name.

The product should be judged as a development environment, not as a promise of autonomous software delivery. Start with one bounded task, measure accepted outcomes and usage, verify data controls, and require the same tests and review used for human code. Add concurrent agents only when the team can supervise them without lowering quality. Devin Desktop's command center may help engineering work scale, but the human ability to define, inspect and own the result is still the part that makes the fleet useful.

WhatAI Decision Box

Devin Desktop is the active name for Windsurf. It keeps the AI-native IDE, Cascade, completions, extensions, and settings while adding an Agent Command Center for managing local and cloud coding agents from one desktop workspace.

Plans range from Free to Pro at $20, Max at $200, Teams at $80 plus $40 per full developer seat, and custom Enterprise. Usage allowances refresh daily and weekly, while extra paid usage is available at API pricing.

Existing Windsurf users receive Devin Desktop through a normal update and keep their plans, extensions, workflows, settings, and current work. The main buying question is whether its wider multi-agent command center improves real development outcomes.

Use Cases

Pricing varies by plan and region — see current pricing.

Plan features change — last updated: 2026-08-24.

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How to Get Results with Devin Desktop: Step-by-Step Workflow

1. Update the application

   Install the current Devin Desktop release and confirm that Windsurf extensions, settings, workflows, and projects migrated correctly.

2. Review data controls

   Set the training preference, model access, repository permissions, and organization policy before opening private source code.

3. Choose one bounded task

   Select a reproducible bug, small feature, or refactor with clear acceptance criteria and manageable risk.

4. Provide repository rules

   Supply architecture notes, coding standards, test commands, protected files, and explicit out-of-scope changes.

5. Ask for a plan

   Have the agent locate relevant code and explain its intended approach before allowing file or terminal changes.

6. Run in one worktree

   Keep the first task isolated and monitor tool calls, file changes, assumptions, and checkpoints.

7. Verify independently

   Inspect the diff and run the repository's tests, linting, types, security checks, and manual acceptance steps.

8. Measure usage and rework

   Record model choice, quota consumption, retries, review time, rejected changes, and cost per accepted result.

9. Add controlled concurrency

   Use Spaces and separate Git worktrees for non-overlapping tasks only after the single-agent process is reliable.

10. Commit with ownership

    Keep a human reviewer accountable for the final code, dependency choices, license checks, and deployment decision.

Devin Desktop Gotchas and Limits to Know Before You Start

• Windsurf is now branded Devin Desktop, so older tutorials, screenshots, and plan names may be outdated.
• The stable WhatAI record ID remains windsurf to preserve existing links and discussion continuity.
• Included usage varies by model, context, task complexity, and reasoning rather than a simple fixed message count.
• Extra usage after plan quotas is billed at API pricing and can make heavy-agent costs less predictable.
• Launching several agents can multiply review work, merge conflicts, and incorrect assumptions.
• Generated code still requires independent tests, security checks, dependency review, and human ownership.
• Customer data may be used for training by default unless eligible paid users or administrators opt out.
• Third-party agents and model providers can have distinct permissions, retention, billing, and usage policies.
• Skills, rules, and memories can repeat stale instructions or expose sensitive context if poorly maintained.
• The product is most useful when the user already has enough engineering judgment to evaluate agent output.

Which Devin Desktop Feature Fits Your Use Case

Starter Prompts for Devin Desktop

Is Windsurf now Devin Desktop?

Yes. Cognition officially describes Devin Desktop as the new name for Windsurf. The IDE remains available, while the product adds an Agent Command Center for managing local and cloud coding agents.

Do Windsurf users need to reinstall?

Devin Desktop is delivered to Windsurf users through a standard application update. Cognition says existing plans, pricing, extensions, workflows, settings, and in-progress work carry over automatically.

How much does Devin Desktop cost?

Free costs $0, Pro is $20 per month, Max is $200, Teams is $80 per month plus $40 for each full developer seat, and Enterprise uses custom pricing.

What is included in the free plan?

The Free plan includes a light quota for coding with agents, limited model availability, unlimited inline edits, and unlimited Tab completions.

How does usage work?

Paid plans include allowances that refresh daily and weekly. Message cost varies with the model, task size, complexity, and reasoning. Extra usage can be purchased at API pricing after the included quota is exhausted.

What is Cascade?

Cascade is the editor-aware coding agent inherited from Windsurf. It provides Code and Chat modes, tool calling, checkpoints, voice input, linter integration, and real-time editor and terminal context.

What is the Agent Command Center?

It is the multi-agent workspace in Devin Desktop. Developers can plan, dispatch, monitor, and review local and cloud agent tasks through status views while retaining access to the full IDE.

Does Cognition train on user data?

Cognition says data may be used for training by default. Paid users can opt out in Data Controls, Teams administrators control the team setting, and Enterprise data is not used for training without prior written consent.

Which systems integrate with Devin?

The current platform lists GitHub, GitLab, Bitbucket, Slack, Microsoft Teams, Linear, Jira, and custom source-control options, with availability and controls varying by plan.

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