Zed with AI: a fast editor for people fleeing VS Code

If you open VS Code and wait two seconds for the window to stop flickering while your laptop fan spins up on the first Copilot suggestion — Zed is for you. It is an editor written in Rust by the people who once built Atom (and before that Tree-sitter and Electron). This time they decided not to repeat the mistake of a decade ago: instead of building on the browser, they wrote their own GPU rendering engine. The effect is tangible from the first second — Zed is simply fast. The question is whether in 2026 speed plus AI are enough to abandon an ecosystem everyone already knows.

What Zed actually is

Zed is a native code editor — not a VS Code fork, not a Chromium wrapper, but a separate program compiled to native code. Three things set it apart from the rest of the field. First: the language. The whole core is in Rust, which gives predictable performance and no garbage collector to stall the UI at the worst possible moment. Second: rendering. Zed draws its UI on the GPU through its own framework (GPUI), so scrolling a huge file and typing stay smooth even at 120 Hz. Third: a collaboration architecture built in from the start, not bolted on as a plugin.

The team behind Zed is not a startup with no track record. These are the same people who created Atom for GitHub and along the way shipped Tree-sitter — the parser half the industry relies on today, Neovim included. Atom lost to VS Code mainly because it was built on Electron and grew sluggish over time. Zed is their second attempt, this time with the lesson learned to the end: zero performance compromises at the foundation.

Why speed is not a fetish but flow

It is easy to dismiss the speed argument as a benchmark fetish. “Who cares whether an editor starts in 200 or 800 milliseconds.” You do care, but not because of those milliseconds. It is about input latency — the time between a keypress and the character appearing. Above a certain threshold the brain stops treating the editor as an extension of thought and starts noticing it. That noticing kicks you out of flow.

Zed was designed around this single obsession. GPU rendering, no DOM layer, no JavaScript bridge — all so the character shows up instantly. In practice the difference is most noticeable on large files, in a monorepo with hundreds of thousands of lines, and while working with Tree-sitter syntax highlighting on. Where VS Code starts dropping frames, Zed holds an even pace. This is not a feature you appreciate in a demo. It is a feature you appreciate after eight hours of work, when the interface has not worn you down.

The AI assistant and agent mode

AI in Zed has two faces. The first is a classic assistant panel — you talk to a model, feed it context (files, selections, terminal output) and get answers inline in the editor rather than in a separate chat window. The second face is agent mode: the model gets a task, browses the repo, edits multiple files, runs commands and comes back with a diff to approve. This is the same direction everyone went — the difference is in the execution and in how deeply the agent is woven into the native interface.

Zed’s strength is model-provider neutrality. You plug in your own API key — Anthropic, OpenAI, Google, local models via Ollama — or use Zed’s hosted offer. For a team that does not want to route its code through a middleman and would rather pay directly for tokens with a chosen provider, that is a real edge over solutions that lock you into a single pipeline. Exact prices and limits change too often to quote here — check the current pricing before a team decision, because it is one of the more important parameters.

Inline edits (that is, “select a fragment, describe the change, get a diff”) work smoothly and are my favourite mode for daily work. Less theatre than a full agent, and 80% of real changes are minor refactors you do not want to type by hand anyway.

Collaboration built into the editor

Here Zed does something VS Code forks do not have out of the box: pair programming as a first-class feature. You share a project, the other person joins, you see each other’s cursors, you can edit in parallel, there is a built-in voice channel. This is not a Live Share–style plugin glued onto the editor — it is part of the core, so it is fast and consistent. In a world where some pair programming is now human–agent and some is still human–human, that architecture makes sense for the future.

In practice most solo developers will not touch this feature daily. But for distributed teams, junior mentoring and live debugging sessions it is an argument that can tip the scales. And it is something you cannot easily retrofit into an editor that never thought about collaboration from the foundations.

Zed versus VS Code forks (Cursor, Windsurf)

This is the most important comparison, because this is exactly where most people make the decision. Cursor and Windsurf are VS Code forks — they take a mature, familiar editor and bolt a strong AI layer onto it. The upside is obvious: you get the entire extension ecosystem, familiar shortcuts, ready settings and literally zero switching cost. The downside too: you inherit the Electron baggage and the full weight of VS Code.

Zed plays the opposite hand. It puts performance and nativeness first, and builds AI into its own consistent interface. You pay for that with a smaller ecosystem and the fact that some extensions you got used to simply do not exist. Put brutally simply:

• Cursor/Windsurf — maximum compatibility and the deepest AI integration available today, at the cost of performance.
• Zed — maximum performance and a clean native interface, at the cost of ecosystem maturity.

There is no single winner here. There is a question of what hurts you more day to day: editor lag or a missing plugin.

The honest downsides

Let us not pretend Zed is ready for everything. First, the extension ecosystem is far smaller than the VS Code world. If your workflow depends on a niche plugin for a specific framework, check that before you switch for good — you may come back disappointed.

Second, the AI features are still maturing. Agent mode can be less polished than at the leaders who had more time to grind that particular layer. This changes month to month, but if you are judging Zed today, judge the real state, not the roadmap.

Third, platform support and patchy gaps. Historically Zed started on macOS, then Linux, with Windows coming later — check the current status for your platform. Add the small stuff: some advanced debugger configurations or integrations that are obvious in VS Code require a workaround in Zed, or do not exist yet.

Who should switch and who should not

Switch to Zed if: you mostly work in mainstream languages (Rust, Go, TypeScript, Python), performance and flow are sacred to you, the weight of VS Code annoys you, and you approach AI pragmatically — you want solid inline edits and an agent for small tasks, without being tied to a single model provider.

Stay with what you have if: your daily workflow stands on specific VS Code extensions, you need the deepest agent integration available today (then Cursor or Windsurf are closer to the goal), or you work in an exotic stack with weak language support in Zed. This also applies to teams with a heavy investment in devcontainers and VS Code–style remote development — here the forks win on maturity.

Practical advice: do not migrate the whole team in a single day. Install Zed alongside your current editor, work in it for a week on a real project, and see whether the performance gain beats the cost of missing habits. The switch is cheap to reverse — it is a good candidate for an experiment.

TL;DR

Zed is a Rust-written, GPU-rendered editor from the Atom people that puts performance above everything and delivers real flow over long sessions. Its AI comes as an inline assistant, an agent mode and — importantly — a choice of model provider. Collaboration is built in, not bolted on. You pay for it with a smaller extension ecosystem and a still maturing agent. Choose Zed over VS Code forks (Cursor, Windsurf) if lag hurts you more than a missing plugin. If your workflow stands on extensions or you need the deepest AI integration — stay with a fork. Test it for a week side by side; the decision is cheap to reverse.