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Cursor, Claude Code, Windsurf?! My AI coding stack after 40 dev experiments

#webdev #ai #programming #powerplatform

For devs drowning in AI tool hype who just want to know what actually stuck

40 tools, 3 survivors

If you’ve ever installed a new AI coding tool on a Monday, spent the whole evening configuring it, been genuinely impressed for about three days, and then quietly gone back to your old setup by Thursday you’re not alone. Some devs binge Netflix. I install AI tools.

I went through a phase (fine, a four-month spiral) where I tested nearly every tool promising to make me ship faster, code smarter, or finally stop copy-pasting stack traces into a browser tab. Most of them were fine. A few were actually good. One deleted a file I needed. But out of the 40+ IDEs, agents, plugins, extensions, and CLI tools I ran through real work projects not toy repos, actual PRs three made it through.

Cursor. Claude Code. Windsurf.

This isn’t a “best of 2026” roundup written by someone who ran each tool for 20 minutes. It’s what survived four months of daily use across real backend work, DevOps tasks, and the occasional frontend emergency. Tools I open every morning without thinking about it. The ones that made my workflow cleaner, faster, and way less frustrating.

If you’re still on vanilla Copilot wondering why things still feel slow, or you’re deep in comparison hell and just want someone to cut through it this one’s for you.

TL;DR: Cursor handles multi-file feature work and agentic refactors. Claude Code owns the terminal tests, deploys, migrations, anything CLI. Windsurf runs Cascade in the background while you stay in flow. Together they cover every slot in a serious dev workflow. Separately, each one is still better than most of the 37 tools I’m not writing about.

Let’s get into it.

Table of contents

  • Why your AI tool stack actually matters now
  • Cursor the IDE that started arguing back
  • Claude Code the terminal agent I didn’t know I needed
  • Windsurf the dark horse nobody warned me about
  • How Cursor, Claude Code, and Windsurf work together
  • Final thoughts: you don’t need 40 tools
  • Helpful resources and links

Why your AI tool stack actually matters now

Here’s the thing nobody tells you when you first install an AI coding tool: the tool isn’t the hard part. The hard part is figuring out which problems you actually have, and whether what you just installed solves any of them.

Most devs treat AI tooling like a plugin they’ll figure out later. They install Copilot, use it for autocomplete, occasionally ask it to explain a regex, and call it done. That worked fine in 2024. In 2026 it’s the equivalent of using a GPS only to check if it’s raining.

The conversation has moved. Agents are the standard now, not the novelty. The tools worth your time aren’t the ones that finish your line of code they’re the ones that read your whole codebase, plan a multi-step task, execute it, run your tests, fix the failures, and come back when it’s done. That’s not autocomplete. That’s a different category of tool entirely.

And the cost of getting this wrong isn’t just a wasted subscription. It’s the context-switching penalty. Every time you break flow to copy an error into a chat window, switch tabs to ask a question you should be able to ask inside your editor, or manually run a command sequence an agent could handle that’s compounding friction. The DORA 2025 report found that high-performing engineering teams are pulling significantly ahead of the rest, and tooling decisions are a real part of that gap.

The developers figuring out the right AI stack right now aren’t the ones with the most tools installed. They’re the ones who stopped treating AI like a fancy tab completion and started treating it like a collaborator with a job description. You wouldn’t hire one person to do your backend, frontend, DevOps, and code review. Same logic applies here.

That’s the frame for everything that follows not which AI tool is best, but which tool owns which job, and how you stack them so nothing falls through the cracks.

Cursor the IDE that started arguing back

I thought AI-assisted coding meant better autocomplete. Then Cursor refactored a function I didn’t ask it to touch, the PR passed review without a single comment, and I had to sit with that for a minute.

Cursor isn’t a smarter Copilot. It’s a different thing entirely. Where Copilot watches what you’re typing and tries to finish the sentence, Cursor reads your whole codebase and forms opinions about it. You can ask it to build a feature and it’ll touch six files, write the tests, and explain what it changed and why.

What I actually use it for:

  • Multi-file edits This is where it earns its keep. I don’t use Cursor for writing single functions. I use it when a change needs to ripple across the codebase updating an interface, migrating an API, refactoring auth logic. It plans the changes, shows you the diff across every affected file, and lets you approve before anything gets written.
  • cursorrules Drop this file in the root of your project. Cursor reads it at the start of every session preferred patterns, things to avoid, naming conventions and actually respects that context every time.
# .cursorrules
You are working on a Node.js REST API.
Always use async/await. Never use callbacks.
Prefer explicit error handling. Never swallow errors silently.
Add JSDoc comments to all exported functions.

This alone cuts the back-and-forth in half.

  • Cmd+K inline editing Highlight a block, hit Cmd+K, describe what you want. Rewrites in place. No sidebar, no context switching, no copy-paste. Fastest way to refactor something small without losing your train of thought.
  • Agent window Cursor 3 April 2026, Cursor shipped a new interface built from scratch around agents. Multiple agents running in parallel across different repos, all visible in one sidebar. You dispatch tasks, review diffs, approve changes. It looks less like a code editor and more like an engineering manager’s dashboard. In a good way.

I still write code manually. Cursor doesn’t replace that. But for anything involving more than one file, more than one decision, or more than five minutes of thinking I hand it off and review the output. That’s a different relationship with your tools than most devs are used to, and it takes about a week to actually trust it.

Worth it.

cursor.com

Claude Code the terminal agent I didn’t know I needed

Most AI coding tools live inside your editor. Claude Code lives in your terminal. No IDE. No sidebar. No chat window. You talk to it like a senior engineer who already read the repo, and it writes files, runs commands, fixes test failures, and ships. It’s not a chatbot with code awareness. It’s a collaborator.

The first time it ran a full test suite, found a failing edge case I hadn’t noticed, fixed it, and committed while I was reviewing a completely different PR I had to close my laptop and think about my career choices for a moment.

Why I stuck with it:

  • Terminal-native workflow Claude Code lives where backend and DevOps work actually happens. No tab switching, no copy-pasting output into a chat window, no losing context. You stay in the terminal, it stays in the terminal, and the whole session feels like pairing with someone who never gets tired or distracted.
  • Natural language task execution You describe what you want in plain English. It reads the repo, makes a plan, executes it, and tells you what it did.
$ claude "refactor the auth middleware to use JWT RS256,
run the tests, and fix anything that breaks"

It reads the codebase, plans the changes, runs the tests, iterates on failures without you touching anything.

  • MCP tool integrations Claude Code connects to external tools via MCP GitHub, databases, deployment pipelines. You can give it real reach beyond just the codebase and it handles multi-step workflows that would normally take you 20 manual commands.
  • Computer use On Mac, Claude Code can open apps, click through UI, screenshot the result, and verify it worked. Build a feature, launch it, test it visually from one terminal session. That one still gets me every time.

I still use it with human oversight on anything production-critical. But for local dev, test environments, and deploy pipelines it runs. I review. That’s the whole loop.

docs.anthropic.com/claude-code

Windsurf the dark horse nobody warned me about

Everyone I know is on Cursor. Windsurf kept coming up in my Discord as the tool that people switched to and then got annoyingly quiet about like they’d found something they didn’t want to share yet.

I tried it out of mild spite. They were right and I was annoyed about it.

Windsurf isn’t trying to beat Cursor on features. It’s trying to beat it on feel. The whole thing is built around Cascade an agentic AI that doesn’t wait for you to ask it something. It watches what you’re doing, understands the context, and acts. The difference between using Cursor and using Windsurf is the difference between having a very capable assistant and having a very capable assistant who also pays attention.

What makes it essential:

  • Cascade agent Multi-file edits, terminal commands, test runs all without you directing every step. You describe the goal, Cascade figures out the path. It’s similar to Cursor’s agent mode but the flow feels less interrupted. Less “here’s what I’m going to do, approve?” and more “here’s what I did, check it.”
  • Codemaps Windsurf indexes your repo and builds a visual map of your architecture how files relate, where the entry points are, what connects to what. Useful when you’re jumping into a codebase you didn’t write, and genuinely helpful for giving the AI accurate context on large projects.
  • Drag-and-drop screenshot → UI generation Drop a screenshot of a design into Cascade and it generates the frontend code. For anyone doing UI work this is the kind of feature that makes you feel like you skipped two steps.
  • $15/month Cursor Pro is $20. Windsurf Pro is $15. Same tier, same power level, lower price. Not the reason to pick it, but not nothing either.

As of February 2026, Windsurf sits at number one in the LogRocket AI Dev Tool Power Rankings ahead of Cursor and GitHub Copilot. And with the Cognition AI acquisition bringing Devin integration into the roadmap, it’s about to get significantly more powerful.

I run Windsurf when I want to stay in flow on a feature without stopping to manage the AI. It gets out of the way in a way that Cursor, for all its power, sometimes doesn’t.

windsurf.com

How Cursor, Claude Code, and Windsurf work together

Each tool on its own is solid. Stacked right, they cover every layer of the workflow without overlap and without gaps. It’s not about having three tools open at once it’s about each one owning a different job.

Here’s how they fit into my actual day:

  • Windsurf for active feature work When I’m building something new and want to stay in flow, Windsurf is open. Cascade handles the context, suggests the next move, runs the changes. I steer, it executes.
  • Cursor for multi-file refactors and reviews When a change is complex, touches multiple services, or needs careful diff review before anything gets committed Cursor. The agent window and .cursorrules context make it the right tool for surgical, deliberate work.
  • Claude Code for everything terminal Tests, deploys, migrations, environment setup, CI debugging. Anything that lives in the command line. Claude Code handles the full sequence while I’m doing something else.

The real-world flow looks like this:

Feature branch
→ Windsurf/Cascade writes the feature
→ Cursor agent reviews multi-file diffs
→ Claude Code runs tests + deploys to staging
→ Push PR

Three tools, zero browser tabs open to paste errors into.

I stopped thinking of these as “AI tools” and started thinking of them as team members with specializations. Different strengths, different contexts, different jobs. Once you frame it that way the stack stops feeling like overkill and starts feeling obvious.

Final thoughts: you don’t need 40 tools

I didn’t set out to build some ultimate AI coding stack. I just wanted something that worked without me having to think about it every week.

After testing more than 40 tools, the three that actually made my workflow better were:

  • Cursor for multi-file feature work and agentic refactors
  • Claude Code for terminal tasks, deploys, and anything CLI
  • Windsurf for staying in flow with Cascade running alongside you

They’re not trying to do the same thing. They don’t step on each other. And none of them require you to change how you code they just remove the parts that were slowing you down.

If you’re still running vanilla Copilot and calling it your AI stack that’s fine. But you’re leaving a lot on the table. The tooling gap between devs who’ve figured this out and devs who haven’t is real, and it’s only getting wider.

Start with one. Get comfortable. Add the next. By the time you’ve run all three for a month you won’t remember what the friction felt like.

Helpful resources and links

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