I Used Cursor, Windsurf, Zed, and Claude Code for a Week Each. Here Is What Actually Stuck

I picked one real project, a mid-sized Next.js app with a Postgres backend that I have been maintaining for about two years, and used it as the constant while I rotated through four different AI-assisted editors, one week each: Cursor, Windsurf, Zed, and Claude Code running inside my normal terminal setup. The rule was simple, no going back to my old habits mid-week even when I was frustrated, and I kept a running log of friction points as I hit them instead of trying to reconstruct my opinions from memory at the end.

Week one: Cursor

Cursor was the most familiar starting point since it is a fork of VS Code, so the transition cost was close to zero. My settings, my keybindings, most of my extensions carried over without a fight. The tab-completion model is genuinely excellent at predicting multi-line edits, not just the next few tokens, and it got noticeably good at understanding what I was doing across a diff rather than just at the cursor position. If I renamed a prop in a component, it would frequently suggest the corresponding update three lines down before I got there myself.

Where Cursor started to strain was on larger, more open-ended tasks. I asked it to migrate a set of API routes from the older pages router pattern to route handlers, touching about nine files, and the composer mode handled it reasonably well but needed several rounds of correction, mostly around it not consistently applying the same error-handling wrapper I use across routes. It would nail the pattern in some files and drift from it in others within the same batch of changes. Good, not great, and noticeably better when I front-loaded more explicit constraints in the prompt rather than trusting it to infer conventions from the rest of the codebase.

Week two: Windsurf

Switching to Windsurf meant relearning my keybindings, which was a bigger tax than I expected after years of muscle memory. Once past that, the standout feature was Cascade, its agentic mode, which felt noticeably more willing to go explore the codebase on its own before proposing a change, reading related files without being explicitly told to, compared to Cursor's composer which leaned more on whatever context I had manually attached.

This showed up clearly on a bug hunt. I had an intermittent race condition in a webhook handler, and rather than me pre-gathering the relevant files, I described the symptom and let Cascade go looking. It traced through three files on its own and correctly identified that a database write and a cache invalidation were happening in the wrong order under concurrent requests. That was a genuinely impressive moment, the kind of thing that would have taken me twenty minutes of manual file-hopping to piece together myself. The tradeoff was speed. Windsurf's agentic exploration is noticeably slower than Cursor's more targeted composer, and for small, well-scoped edits that cost outweighed the benefit.

Week three: Zed

Zed was the biggest departure, both because its AI features are newer and less deeply integrated into a composer-style workflow, and because the editor itself is a genuinely different piece of software, built from scratch in Rust rather than an Electron fork, and you can feel that in how instantly everything responds. Opening a large file, scrolling through a long diff, switching between tabs, all of it happens with zero perceptible lag in a way that made me realize how much I had unconsciously tolerated in Electron-based editors.

The AI assistant panel is solid for chat-style interaction and inline edits, but it is noticeably less capable at autonomous multi-file changes than Cursor's composer or Windsurf's Cascade were during this same week. I found myself using Zed's AI features more like a smarter version of asking a question in a separate chat tab, and less like a coding partner I could hand a whole task to. For a week where I was doing a lot of focused, single-file refactoring work, that was actually fine, and the editor's raw speed made the week feel lighter even when the AI features were doing less work.

Week four: Claude Code in the terminal

The last week I dropped the IDE-integrated approach entirely and worked from Claude Code running in my terminal alongside a plain, extension-light instance of VS Code for reading and occasional manual edits. This was the week that most changed how I think about the whole category.

The difference was in how much I could delegate as a complete, verifiable unit of work rather than a suggestion I babysit line by line. I would describe a task, something like add pagination to the admin users table using the existing cursor-based pattern from the orders table, and it would go read the orders implementation, replicate the pattern faithfully, run the type checker, run the relevant tests, and only then show me a diff. When the type checker caught an issue, it fixed it itself before I ever saw the broken intermediate state. That loop, plan, implement, verify, fix, repeat, without me in the loop for every iteration, was the single biggest productivity difference across all four tools for tasks that had a clear definition of done. For fuzzier tasks, like improving the visual layout of a settings page where I don't have a test that captures what good looks like, it was less obviously better than just doing it myself with tab-completion assistance.

What actually stuck after the month

I went back to Cursor as my daily driver, but not because it won outright. It won on balance, because most of my day-to-day work is small, well-scoped edits where fast, reliable tab completion and a lightweight composer beat a slower, more autonomous agent. But I kept Claude Code in my terminal as a permanent tool for anything with a clear success condition, tests passing, a migration completing, a build succeeding, because the verify-before-showing-me behavior is worth the extra latency for that category of task. Windsurf's Cascade earned a specific, narrower role in my mind: genuinely gnarly, cross-file bugs where I do not yet know which files are involved. Zed I now recommend to anyone who complains about editor lag more than they complain about AI feature depth, because the raw performance genuinely changes how it feels to work all day.

The biggest thing I unlearned during this month is the idea that there is one right answer to which AI editor to use. They are not competing on the same axis. Some optimize for fast, tight-loop suggestions. Some optimize for autonomous exploration. Some just optimize for the editor being fast, full stop, and let the AI feature set be secondary. Once I stopped looking for a single winner and started matching tool to task shape, the whole category made a lot more sense, and I ended up using three of the four regularly instead of picking one and abandoning the rest.

If I had to give one piece of advice to someone about to run their own version of this experiment, it would be to pick a real project with real stakes, not a throwaway demo repository. Every tool I tested looks impressive on a clean, small, purpose-built demo, that is what demos are for. The differences that actually matter, how a tool handles a codebase with genuine inconsistency, legacy patterns, and half-finished refactors sitting around, only show up under real conditions. My two-year-old Next.js app has plenty of accumulated rough edges, and watching each tool navigate those rough edges, or fail to, taught me far more than any clean benchmark repository would have. A month feels like a long commitment to any one tool, but a week per tool on a real, imperfect codebase was enough to separate genuine capability from polished demo behavior, and I would not trust a shorter evaluation to reveal the same gaps.