VS Code, Cursor, or Devin Desktop: Which Fits Your Workflow?

Choose VS Code if you want a flexible editor and control over extensions and AI tools; choose Cursor if you want an AI-assisted code editor built around editing and navigating a codebase; choose Devin Desktop if you want to delegate work to an agent that can operate in a desktop development environment. The right fit depends less on which tool is “best” than on how much you want to steer each coding task.

What These Tools Are

Visual Studio Code (VS Code) is a general-purpose source-code editor from Microsoft. It supports many languages and workflows through extensions, integrated terminal access, source control features, and settings. AI assistance is not one fixed experience: users can add extensions or use Microsoft’s GitHub Copilot offerings, subject to the products and plans available to them.

Cursor is an AI-focused code editor based on the VS Code codebase. Its appeal is that AI assistance is integrated into the editing workflow: depending on the current product features and configuration, you can ask questions about a project, request code changes, and review edits without assembling the same experience from separate extensions. It is still an editor, and you remain responsible for evaluating the changes.

Devin is an AI software-engineering agent, rather than simply another code editor. Devin Desktop provides a desktop environment for working with Devin, including a way to interact with its work. Product capabilities and access can change, so check current documentation for which tasks and integrations are available. The key distinction is the intended relationship: an editor helps you write code, while an agent can be assigned a task and carry out multiple steps with human direction and review.

How the Workflows Differ

In VS Code, the developer typically opens a project, edits files, runs commands, and checks the results. AI can help explain code, generate suggestions, or make edits, but the setup and degree of automation depend on the extensions and services selected. This modularity makes VS Code adaptable, though it may take time to choose and configure a consistent toolset.

Cursor puts AI closer to the central editing loop. A common workflow is to select or describe a change, let the editor propose edits across relevant files, then inspect the diff, run tests, and refine the result. That can reduce context-switching for routine tasks, but it does not remove the need to understand the project or verify generated code.

With Devin Desktop, you can frame a larger task—such as investigating a bug or implementing a defined feature—and let the agent work through a sequence of actions. You then review its progress and output. This can be useful when the work is sufficiently specified and the agent can access the necessary project context. It is less suitable for an ambiguous request that needs constant design decisions unless you are prepared to guide it closely.

Which One Fits Your Work?

• Pick VS Code if you value a familiar, configurable editor, already rely on a particular extension stack, or want to choose AI features separately. It is a sound default when you want direct control over every step.
• Pick Cursor if you spend much of your day editing code and want AI assistance integrated into that activity. It is especially relevant when you often ask for explanations, targeted changes, or help navigating an existing repository.
• Consider Devin Desktop if you want to delegate bounded engineering work and review the result rather than make every edit yourself. Treat it as a collaborator that needs clear instructions and oversight, not as an automatic replacement for engineering judgment.

For example, if you are fixing a small bug while actively debugging, VS Code or Cursor may keep you closest to the code and test loop. If you have a well-defined cleanup task spanning several files, an agent-oriented workflow may be worth trying, provided you can inspect the edits and run the project’s checks afterward.

Control, Review, and Reliability

More automation does not mean less responsibility. AI-generated code can misunderstand requirements, miss edge cases, introduce incompatible changes, or appear plausible without being correct. The important question is not just whether a tool can make a change, but whether you can review its reasoning and verify the result in your project.

For any of the three options, use ordinary software-review habits:

• Keep changes small enough to understand and inspect diffs before accepting them.
• Run relevant tests, linters, builds, or manual checks; a convincing explanation is not evidence that code works.
• Give tools only the project context and access that your organization permits. Review current privacy, data-handling, and account settings before using proprietary or sensitive code.
• Be cautious with terminal commands and changes that affect files, dependencies, or external services. Understand what will happen before approving or running them.

Cursor and VS Code can both support a highly hands-on process. Devin’s delegated workflow can save attention on suitable tasks, but a task that is poorly scoped may require more steering and review than expected. None of these tools guarantees correctness or makes code review unnecessary.

Costs, Setup, and Switching

VS Code is available without a purchase, but some extensions and connected AI services have their own access requirements or charges. Cursor and Devin’s availability, features, and pricing can also vary by plan and change over time. Check each provider’s current product and pricing pages rather than relying on old comparisons; do not assume that a particular model, usage limit, or feature is included.

Setup is another practical difference. VS Code users may need to select extensions and configure them. Cursor may feel more direct for people who want an AI-centered editor, though moving editors can involve importing settings and adjusting habits. An agent workflow may require connecting a project or environment and learning how to define tasks and review work. Try a representative, low-risk task before moving an entire team workflow.

Common Misconceptions and Alternatives

One misconception is that Cursor and VS Code are entirely unrelated choices. Cursor is based on VS Code, so some editor familiarity and workflows may carry over, but the products are distinct and their features, settings, and service terms are not identical. Another is that Devin is merely an editor with stronger autocomplete: its agent-oriented approach is different, because it is designed to handle multi-step work under direction.

You also do not have to choose one tool for every task. A developer might use VS Code for a customized environment, Cursor for AI-assisted editing, or an agent for a bounded assignment, depending on what is available and permitted. Other code editors and AI coding tools are alternatives, but compare them on concrete needs—language support, integrations, review controls, privacy terms, and cost—rather than marketing labels.

Frequently Asked Questions

Is Cursor better than VS Code?
Not for everyone. Cursor is a natural fit if integrated AI editing is your priority; VS Code may suit you better if you value its flexibility, existing setup, or choice of extensions and services.

Is Devin Desktop an IDE?
It is better understood as a desktop environment for working with Devin, an AI software-engineering agent, rather than as a conventional code editor alone. Check current documentation for the exact capabilities available to your account.

Can I use Cursor like VS Code?
Cursor is based on the VS Code codebase and offers a familiar editor-style workflow, but it is a separate product. Do not assume every extension, setting, or service behaves identically.

Should beginners use an AI coding tool?
They can, but they should treat suggestions as material to learn from and verify. Understanding the code, checking errors, and running tests remain important even when a tool explains its changes.

Which tool is best for a team?
There is no universal winner. Compare each option’s fit with your team’s editor habits, approved data handling, collaboration needs, review process, and current plan terms; test it on a representative project before standardizing.

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