How EJS Chart evaluated Windsurf AI
The evaluation started with the current product docs and the June launch note. That matters because old Windsurf reviews now miss a big part of the story. Cognition says the editor, keybindings, extensions, settings, and plan carry over. It also says Devin Local is the new main local agent and that legacy Cascade support ended after a short handoff.
You can read the official Devin Desktop announcement. It explains the new agent command center, shared Spaces, and support for tools such as Claude Agent, Codex, and OpenCode through the Agent Client Protocol.
Recent user reports were then reviewed for recurring patterns rather than one-off complaints. The same two themes came up again and again: people like the editor and model choice, yet many dislike the new quota system. That split shapes this review.
Windsurf AI at a glance
| Area | What you get |
|---|---|
| Name now | Devin Desktop, built from the Windsurf IDE |
| Main use | Visual coding with local and cloud agents |
| Core agent | Devin Local; Cascade remains in the docs for older flows |
| Good fit | People who want AI work inside a full editor |
| Main risk | Usage limits can be hard to plan around |
What happened to Windsurf?
Windsurf did not simply vanish. Cognition used its IDE as the base for Devin Desktop. The new home screen puts agent work first. A Kanban-style view lets you track local and cloud jobs. Spaces group sessions, pull requests, files, and shared notes.
This is a bigger change than a fresh icon, but the familiar editor still matters. If you came from VS Code, the shape will feel known. Your shortcuts and extensions should have a softer landing than they would in a brand-new IDE.
There is a mild contradiction here. The product is more agent-focused, yet the editor is still one of its best parts. That is fine. A good AI tool still needs a calm place to read diffs, fix small bits, and stop a bad change.
Key Windsurf AI features
Devin Local and the agent command center
Devin Local can read a project, change files, run tools, and use subagents. The command center gives each job a clear spot. This helps when you ask one agent to fix tests while another checks a UI bug.
Do not run two agents against the same file without care. The old Cascade docs warn that edits can race. Worktrees are the safer route when tasks may touch the same code.
Cascade is still useful to understand
The Cascade guide shows why people liked Windsurf. Cascade had Code and Chat modes, tool calls, checkpoints, live context, a linter link, web search, and queued prompts. It could plan a long task, keep a to-do list, and offer a revert point.
The key idea survives: you describe a goal, the agent reads the nearby code, makes a plan, edits files, and runs checks. You still need to read the diff. AI code can look clean and still miss a quiet edge case.
Many model choices
One reason people stayed with Windsurf was model choice. Current paid plans list access to OpenAI, Claude, Gemini, and open models. That is useful when one model is slow, costly, or just wrong for a task.
You know what? Model choice sounds dull until your main model hits a limit at 3 p.m. Then it feels like spare fuel.
Tab, inline edits, and checkpoints
Not every job needs a full agent. Fast completion and inline edits handle the small stuff. A checkpoint helps before a wide edit. Make one before a database change, a file move, or a broad rename.
How a normal flow works
- Open one real project, not a toy folder.
- Ask for a plan before a large change.
- Give a tight goal, key files, and a clear test.
- Let the agent edit and run the check.
- Read the diff before you accept it.
- Run the app and test the risky path yourself.
A good prompt might say: “Add a saved theme choice. Use the current settings store. Do not add a package. Add one test for a page reload.” That is much better than “add dark mode.” Small guardrails give the agent less room to guess.
Windsurf AI pricing and limits
As of July 15, 2026, the public Devin plans show a free level, a $20 per month Pro level, a $200 Max level, and team plans. Prices can change, so check the live pricing page before you pay.
The free level has a light agent quota plus unlimited inline edits and Tab completions. Pro adds more models and more quota. Extra usage may be sold at API rates. The cost of a message can change with the model, task size, and reasoning load.
That last part is the catch. A flat plan does not always feel flat when a hard task burns more of the allowance.
What users say
A recent Windsurf community thread shows both sides well. The author praised its broad model list and said cheaper models still did good work. Replies said the editor can feel great for light and medium jobs. Other users said weekly limits became painful during hard work.
That does not prove what your bill will be. It does tell us what to test: run one real task, watch quota use, and see if the pace fits your week. Do this before moving your whole workflow.
Windsurf vs. GitHub Copilot
| Pick | Why |
|---|---|
| Devin Desktop | You want a full agent command center and broad model choice. |
| GitHub Copilot | You want AI help inside an editor you already use. |
Copilot often feels like an add-on to your workbench. Devin Desktop makes agent work the bench. Neither shape is always better. Pick the one that asks you to change fewer habits.
Who should use it?
Good fit
Visual agent builders
Choose Devin Desktop if you like a VS Code-style editor, want several model choices, and need to watch local and cloud agents in one place.
Pros
- Familiar editor shape
- Good agent view
- Many model choices
- Free level to try
Cons
- Quota use can vary
- Recent brand change
- Large jobs still need close review
Skip it if you need a fixed, easy-to-read work limit or you live in a terminal. In that case, compare Cursor and Claude Code. Also skip it if your team cannot review agent-made diffs. No agent should merge its own guess.
A closer look at AI-powered flows
Windsurf AI became known for AI-powered flows. A flow joins small copilot help with a larger agent task. You can accept a short completion, ask a question, or let the agent work across several files. The useful part is not the label. It is the steady context between those steps.
Imagine a small full-stack JavaScript app. You ask the coding assistant to add a profile field. It finds the form, schema, API route, and test. It writes a plan. Then it makes multi-file edits and runs the test. You read each diff and open the app. That is the promise of an agent-first code editor.
Real-time indexing helps the agent find the right code. Real-time awareness can also follow what you just changed. This reduces the need to repeat every detail in each prompt. It does not remove the need for clear limits. Context can be fresh and still point toward the wrong goal.
Natural language is the start, not the proof
It is easy to code with natural language. It is harder to prove the code is right. Ask for the outcome, the files that matter, and the test that must pass. Name what the agent must not change.
Here is a stronger prompt: “Add a team name to the account screen. Use the current form parts. Save it through the existing API endpoint. Do not change the database package. Add a test for an empty name.”
That prompt gives the Cascade agent or Devin Local a clear path. It also gives you a check. If the agent adds a package or skips the empty state, you know the job is not done.
Terminal integration and run actions
An AI coding tool earns trust by running the same checks you run. Devin Desktop can call the terminal, start a build, read an error, and try again. This is useful for lint rules, unit tests, type checks, and small scripts.
Keep permission controls tight. Let the agent run safe project commands. Stop before secret changes, production data, broad deletes, or a live deploy. Review any command you do not know. A quick “yes” can have a long tail.
Setup tips for a first project
The beginner-friendly path is small. Install Devin Desktop, sign in, and open a repo that already runs. Start with a bug that has a clear result. Do not begin with “build my whole app.”
- Commit or back up the project.
- Open the repo and let indexing finish.
- Ask a question about one file.
- Ask for a plan for one small change.
- Make a named checkpoint.
- Let the agent edit.
- Read the diff and run the app.
This starter flow shows how the tool handles context, AI code, and approval. It also lets you watch usage on the free tier before you buy a paid plan.
Windsurf AI for an engineering team
An engineering team needs more than fast code generation. It needs shared rules, repeatable checks, safe Git habits, and clear owners. Devin Desktop can help manage local and cloud agents, but the team still needs a review path.
Put project rules in the repo. Tell the agent which test command to run. Use branches or worktrees for separate jobs. Require a person to approve code before merge. Keep secrets out of prompts and logs.
Agent work is easiest to trust when each task is small enough to explain. “Fix the cart total bug and add a test” is clean. “Improve checkout” is a fog bank.
Product details to check before you move
Check your operating system, extension needs, Git host, CI tools, and model plan. The Windsurf editor was based on the VS Code world, but no move is perfect. A key extension may behave in a new way. A team rule may live in the wrong folder. A remote setup may need a fresh sign-in.
Also check Figma links, MCP servers, terminal profiles, and company security rules. List the five things your current code editor must do. Test those five first.
The key features need a real project test. Open a full-stack app and ask the tool to trace one action from the page to the server. See whether it can read the entire codebase, find the right functions, and explain the data flow before it makes a change. Good AI-powered assistance should build knowledge before it starts to generate code.
Next, ask for a small refactor across multiple files. A useful task might rename one field in a form, API route, test, and data type. Watch the code diffs in order. The agent should keep the project structure, update the test, and tell you what it did not touch. If it changes files from scratch or edits unrelated code, stop the run and narrow the request.
Then test terminal commands. Ask the tool to run terminal commands for a type check and one test file. Read the command before approval. The ability to run commands is helpful, but it is not proof that the result is safe. A human still has to check the error, the diff, and the final behavior.
Agent mode makes the most sense for multi-step work. Inline completions and autocomplete are better for the beginning of a line, a small function, or a known pattern. Use the light tool for light work. Save the full agent flow for a task where search, edit, test, and explanation need to stay connected.
Developers should also compare Cursor on the same job. Give both tools the same starting commit and the same prompt. Measure how many messages they need, how well they preserve the existing structure, and whether they implement the requested test. These examples reveal more than a feature list.
The additional capabilities only matter when they fit your development workflow. A team may care about remote agents, shared Spaces, and a clean push to a review branch. A solo developer may care more about speed, context, and cheap inline help. Write down the benefits you expect before you pay. That keeps a shiny editor from becoming a costly habit.
Windsurf AI vs. a plain AI extension
A plain extension adds AI to an editor you already trust. Windsurf AI and Devin Desktop place agent work closer to the center. That can reduce context switches. It can also ask you to change more of your setup.
| Work style | Better shape |
|---|---|
| Small inline suggestions | GitHub Copilot or another editor extension |
| Multi-file editing | Devin Desktop agent flow |
| Several local and cloud agents | Devin agent command center |
| Strict fixed editor setup | Keep your editor and add a tool |
There is no shame in the small tool. Many coding tasks need a sharp completion, not an agent meeting.
A seven-day trial plan
Day one: open a repo and ask questions. Day two: make one small edit. Day three: fix a test. Day four: try a multi-file change. Day five: run a second agent in a separate worktree. Day six: check model use and quota. Day seven: compare the week with your old setup.
Write down time saved, time spent fixing AI code, and how often the tool stopped. Feel matters, but notes beat memory.
Frequently asked questions
Is Windsurf AI gone?
The Windsurf IDE became Devin Desktop on June 2, 2026. The editor base remains, while Devin Local replaced Cascade as the main local agent.
Is it easy to use?
It is easy to start if VS Code feels familiar. The hard part is not the first prompt. It is learning when to plan, when to stop, and how to review a large diff.
Can I use it for free?
Yes. The free plan has a light agent quota, limited model access, inline edits, and Tab completion. Check current terms before you depend on it.
Is it good for beginners?
It can help a beginner make progress fast. A beginner should still learn Git, read each change, and keep projects backed up. Speed without a safety net feels fun—right until it does not.
Final take: Windsurf AI grew into Devin Desktop, and the new tool has real promise. The editor is polished. The agent view is clear. The quota story is the part to test with care.
