What is an IDE? Cursor, Windsurf, VS Code, and the new AI coding layer
A beginner-friendly guide to IDEs, Visual Studio Code forks, Cursor vs Windsurf, coding agents, and why some founders think the editor is becoming a higher-level system design surface.
In this guide
An IDE is the place where code is written, searched, debugged, run, and increasingly delegated to AI agents.
Cursor and Windsurf matter because they are AI-first editors built around the familiar Visual Studio Code style of working, but they compete on agent workflow, context, models, and developer control.
The next shift may be away from editing individual files and towards planning systems, reviewing architecture, and supervising agents that write most of the code.
The short version
An IDE, or integrated development environment, is the workspace developers use to build software. At a minimum it gives you a code editor, file tree, search, terminal, debugging tools, extensions, and a way to run or test the project. For a beginner, think of it as the cockpit for a codebase.
The confusing part is naming. Microsoft has Visual Studio, a full IDE with deep support for large professional software projects, especially in the Microsoft ecosystem. It also has Visual Studio Code, usually called VS Code, which began as a lighter, extensible code editor and became the default home base for a huge share of modern web development.
Cursor and Windsurf sit in that second lineage. They feel familiar to VS Code users, but their bet is different: AI is not a plugin on the side. It is part of the main workflow. The editor can read files, propose changes, run commands, explain a codebase, and increasingly act like a junior developer you supervise.
What an IDE actually does
A plain text editor lets you type into files. An IDE helps you understand and operate the whole project. It shows the folder structure, highlights syntax, catches errors, formats code, integrates with Git, runs a terminal, opens previews, suggests completions, and helps you move around a large codebase.
That matters more than beginners expect. A real product is not one file. It has pages, components, APIs, tests, styles, configuration, package files, environment variables, database migrations, and deployment settings. The IDE is where all of those pieces become visible.
For professional engineers, IDE fluency is assumed. They may argue about whether they prefer VS Code, JetBrains, Visual Studio, Neovim, Cursor, or a terminal-first setup, but they still need to navigate files, read diffs, use Git, run tests, and understand the shape of a system.
Visual Studio versus Visual Studio Code
Visual Studio is Microsoft's traditional full IDE. Microsoft describes it as a place to edit, debug, build, and publish applications. It remains important for C#, .NET, desktop software, enterprise teams, and developers who want an integrated, batteries-included environment.
Visual Studio Code is different. Microsoft positions it as a lightweight, extensible code editor. The public source lives in the Microsoft VS Code repository under the MIT licence, while Microsoft's packaged Visual Studio Code distribution includes Microsoft-specific customisations and licensing.
When people say Cursor or Windsurf are "forks of Visual Studio", they usually mean VS Code, not the full Visual Studio IDE. That distinction is useful. The AI IDE wave grew because VS Code gave the market a familiar, extensible editor surface that new companies could adapt around AI-native workflows.
Why Cursor became the breakout AI IDE
Cursor, built by Anysphere, became popular because it kept the familiar file-based editor model while making AI useful inside the codebase. You can ask questions about the project, select files as context, request edits, review diffs, and keep control over the final changes.
The company has also moved beyond simply routing prompts to outside models. Cursor introduced Composer as its own coding model in Cursor 2.0, then followed with Composer 2 in March 2026. Cursor says Composer 2 is a frontier-level coding model with large gains on its own coding benchmarks and a lower cost profile than its previous model family.
The growth story is now part of the news. In April 2026, Cursor announced a partnership with SpaceX on model training, saying it would use xAI's Colossus infrastructure to scale its models. AP and TechCrunch reported that the arrangement also gave SpaceX an option to acquire Cursor for $60 billion later in 2026, or pay $10 billion for the partnership work. That is not the same as a completed acquisition; it is an option tied to a strategic compute and model-training partnership.
What happened with Windsurf
Windsurf, formerly associated with Codeium, is the other name beginners now hear alongside Cursor. Its core assistant is Cascade, which Windsurf describes as an agentic AI assistant with code and chat modes, tool calling, checkpoints, real-time awareness, and linter integration.
The acquisition story around Windsurf is messy but important. OpenAI was reported to be pursuing a multibillion-dollar acquisition. That deal collapsed in July 2025. Google then hired Windsurf leaders and obtained a non-exclusive licence to certain technology. Days later, Cognition, the company behind Devin, announced a definitive agreement to acquire Windsurf, including its IP, product, trademark, brand, business, and remaining team.
That sequence explains why the AI IDE market feels so volatile. These are not just editor companies. They are distribution layers for AI models, proprietary coding data, enterprise developer workflows, and the next generation of software agents.
Cursor vs Windsurf
The useful comparison is not which tool is objectively better for every developer. Cursor has the stronger mindshare among professional web developers and teams that want tight control over code review, file edits, and model choice. Windsurf has leaned heavily into flow, planning, Cascade, and now the broader Cognition-Devin orbit.
For a beginner or intermediate coder, Cursor is usually easier to recommend first if you want an AI-assisted version of the VS Code mental model. It is strong when you want to inspect every file change, steer the model carefully, and keep a clear relationship between prompt, diff, terminal output, and commit.
Windsurf is worth trying if you want a more guided, agentic experience, especially around longer tasks, todo planning, memories, and app-building flow. Its acquisition by Cognition may also matter if Devin-style autonomous coding becomes tightly integrated into the IDE.
Cursor vs Windsurf for newer coders
A practical rating for people learning how AI IDEs fit into real software work.
| Criteria | Cursor | Windsurf | Trackk view |
|---|---|---|---|
| Beginner friendliness | 8/10 - familiar if you have seen VS Code, but still asks you to review real code changes | 8/10 - Cascade and planning features can feel more guided | Both are approachable; Cursor teaches the codebase model a little more directly. |
| Professional control | 9/10 - strong file-level control, diffs, context selection, and review loop | 8/10 - strong agent flow, with more emphasis on guided execution | Cursor edges this category for developers who want to stay close to the code. |
| Agent workflow | 9/10 - Composer, multi-agent interface, codebase-aware edits, terminal work | 9/10 - Cascade, planning, todos, checkpoints, tool use, and Cognition-Devin upside | This is close; choose based on whether you prefer editor control or guided agent flow. |
| Market momentum | 10/10 - major growth, proprietary coding models, and the SpaceX/xAI compute partnership | 7/10 - high-profile acquisition drama, now part of Cognition | Cursor has the cleaner growth narrative; Windsurf has the more complex reset story. |
| Best first use case | Learning how AI edits a real repo while you still inspect the work | Letting an AI assistant walk through a feature or prototype with more visible planning | Try both on a small project before trusting either with a production codebase. |
Ratings are editorial, not benchmark scores. They reflect beginner/intermediate ergonomics, market position, and workflow control as of June 8, 2026.
How AI IDEs differ from vibe coding tools
Vibe coding tools usually optimise for getting from an idea to a working prototype quickly. That can be valuable. A non-technical founder can describe a landing page, dashboard, internal tool, or simple app and get something visible without learning the full development workflow first.
An AI IDE is closer to professional software work. You are still inside the file system. You can see the folder structure, inspect the diff, run the tests, check the terminal, manage Git, keep secrets out of the client, and decide whether an architectural change belongs in the app, API, database, or deployment layer.
That control is the difference. Vibe tools compress the distance between idea and demo. AI IDEs help you build and maintain a codebase that can survive more users, more features, more teammates, more tests, and more operational responsibility.
Agents are now built into the editor
The big shift is that AI assistance is no longer just autocomplete. Cursor has Composer and a multi-agent interface. Windsurf has Cascade. Microsoft now has GitHub Copilot agent mode in Visual Studio and agent workflows in VS Code. The pattern is becoming standard: describe a task, let the agent plan, let it edit files, approve terminal commands, and review the result.
That does not remove the need to understand code. It changes the job. The human increasingly writes intent, chooses architecture, supplies context, checks the diffs, reviews security implications, and decides when the agent has gone too far.
For professional coders, that means IDEs are still useful, but less magical. A senior engineer already understands file structure, dependency boundaries, testing, deployment, and rollback. The AI helps with speed and breadth. It does not replace engineering judgement.
Is the IDE dead?
There is a serious argument that the IDE, as we know it, is not the final interface. In interviews on 20VC, founders such as Legora CEO Max Junestrand have talked about AI moving knowledge work up a level: from manual drafting towards systems where professionals review, orchestrate, and apply judgement to AI-generated work.
Applied to software, the implication is clear. If most code is agent-written, the most valuable interface may become less about typing into files and more about architecture, product intent, system maps, data flows, permissions, test coverage, and deployment risk. The future coding surface may be more visual, more architectural, and more operational.
That does not mean you should ignore IDEs today. It means the IDE is becoming a transition layer. It teaches you how software is structured while agents become capable enough to work across that structure.
What to learn first
If you are new, learn one IDE well before chasing every tool. Start with VS Code or Cursor. Learn the file tree, terminal, search, source control, extensions, environment variables, package scripts, and how to read a Git diff.
Then add the AI layer. Ask the IDE to explain a component. Ask it to trace where data comes from. Ask it to propose a small change. Before accepting, read the diff and run the tests. That habit matters more than which AI model is fashionable this month.
Once you understand the workflow, tools like Windsurf, Cursor, Copilot, Claude Code, OpenAI Codex, and other agentic coding options become easier to evaluate. You are no longer asking "which tool writes code for me?" You are asking "which tool gives me the best control over a system I understand?"
How Trackk helps
Trackk is useful because AI coding makes tool choice easier and operational discipline harder. If you add Cursor, Windsurf, Copilot, or another coding agent to your stack, record what it is allowed to do: local edits, terminal commands, tests, database migrations, deployments, or production credentials.
For each project, Trackk can turn that into a readiness formula: IDE set up, environment variables documented, AI rules added, tests runnable, deployment preview verified, secrets protected, and rollback path known.
That is the practical middle ground. Use the AI IDE to move faster, but use Trackk to make sure the project remains understandable after the agent has touched fifty files.
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