Cursor review: still the IDE to beat for AI-assisted coding

Cursor has had the best AI-coding-in-an-IDE experience for roughly two years, and despite Microsoft pouring resources into Copilot and Anthropic launching Claude Code as a serious alternative, that has not changed in 2026. It is the tool I recommend without qualification to engineers who want one product that does most of what they need without leaving the editor.

This review reflects eighteen months of daily use. I have shipped production code with Cursor in TypeScript, Python, Go, Rust, and Astro. I have used it on greenfield projects and on legacy codebases. I have used it with the default models, with Claude, and with the bring-your-own-key flow. The take here is from working with it, not from a demo session.

What Cursor actually is

Cursor is a fork of VS Code with first-party AI features wired into every place AI belongs in an IDE — autocomplete, inline edits, multi-file edits, a chat sidebar, a project-aware indexer, and an agent mode. The VS Code lineage means your extensions, keybindings, themes, and settings come over almost unchanged. The first-party AI work means the AI features are tightly integrated rather than bolted on as extensions.

The trade is forking: every VS Code release that Microsoft ships, Cursor has to catch up. In practice the lag is small (days to a few weeks) and unless you are on the bleeding edge of VS Code Insiders you will not notice.

The thing it does better than anything else

Tab completion that reads your mind. This is Cursor’s killer feature and has been since launch. The completions are multi-line, context-aware, and almost shockingly accurate at predicting what you are going to type next — including refactors of the line you just edited.

When I am writing a new function, the loop looks like this: I type the signature and the first line. Cursor suggests the next two lines. They are correct. I press Tab. I edit one variable name. Cursor suggests the next chunk, with the corresponding variable name updated. I press Tab. I do this for ninety seconds and a working function exists. Then I read it carefully and fix the two things that are wrong.

Copilot does this too. Cursor does it better and faster. The latency advantage is small but real, and the prediction accuracy in my experience is noticeably ahead. Once you are used to it, switching to plain Copilot feels like dropping a gear.

The other things it does well

Inline edit (Cmd-K / Ctrl-K)

Highlight code, press Cmd-K, describe the change. Cursor rewrites the selection in place with a diff overlay. This is the single most-used AI feature in my workflow after tab completion. Used right, it replaces a category of small refactors that would otherwise be ten minutes of editor work — convert this function to async, extract these constants, add error handling around this block, switch this loop to a map.

The diff overlay is well-designed. You see exactly what changed before accepting. Compared to a chat-based “here is the new code, please paste it back in” flow, this is dramatically less friction.

Composer / multi-file edits

Composer is Cursor’s mid-tier feature — bigger than inline edit, smaller than agent mode. You describe a change that touches multiple files. Cursor proposes the diff across files and lets you accept it as one operation. This is the right tool for jobs like “add a new field to the user model and propagate it to the API, the form, and the tests.” It is not the right tool for “refactor the auth system” — that is agent territory.

Project-wide context

Cursor maintains an embedding-based index of your project. When you @codebase in a chat or ask a question about how the code is structured, the model has the relevant files in context — not the entire codebase, but a much better selection than naively grepping. For mid-sized projects this is good enough to ask architectural questions and get useful answers.

Bring your own key

If you have an Anthropic or OpenAI API key, you can plug it in and route requests through your own billing. The pricing is the API cost rather than the Cursor subscription. For heavy users this is the right move; for everyone else the flat Pro plan is simpler.

Where Cursor has been outpaced

The most important gap to call out is agent mode. Cursor’s agent has improved meaningfully over 2025, and for short multi-step tasks it works fine. But for the hard cases — exploring a large unfamiliar codebase, doing a multi-file refactor that needs ten or twenty iterations, running long-running test loops — Claude Code’s agent is more reliable. It finishes more often. It gets stuck less. If your daily work is heavy on this kind of task, Cursor alone is not enough.

The second is pricing volatility. Cursor has changed its pricing model multiple times in 2024 and 2025. The current Pro plan is a flat $20/month and works well for most individuals. But teams have had to recalibrate budgets a couple of times, and there is no guarantee that does not happen again. For solo engineers this is noise; for teams it is something to factor in.

The third is headless usage. Cursor is designed to be the editor you sit in front of. It does not have a CLI equivalent. If you want to run AI tasks in CI, or from a script, or as part of an automated pipeline, you are reaching for something else (Claude Code, Aider, or a custom integration with the Anthropic API directly). This is a fair design choice — Cursor is an IDE, not a platform — but it caps how far the tool can take you.

Specs that matter

How it pairs with the rest of the stack

The thing that took me longest to figure out is that Cursor is not the whole story for a serious AI-augmented workflow. It is the editor — a very good one. The other tools complete the picture:

• Cursor for editing — tab, Cmd-K, Composer, chat. Where the keystrokes happen.
• Claude Code (in a second terminal) for the heavier agent tasks — multi-file refactors, codebase exploration, long-running test loops. See our Claude Code review for the full take.
• GitHub Copilot CLI or shell-aware tooling for terminal commands.
• The Anthropic API directly for any automation or batch work.

Using Cursor alone is fine. Using Cursor plus Claude Code is dramatically better. We cover the head-to-head in detail in our Claude Code vs Cursor comparison — short version: they are complementary, not substitutes.

Who should buy it

Buy Cursor if: you spend most of your day in an editor, you want tab completion that is meaningfully better than Copilot’s, you work on TypeScript / JavaScript / Python / Go projects under about a million lines of code, and you want one product that does most of the in-editor AI work without configuration. The $20/month is easily justified at any meaningful engineer salary.

Skip Cursor if: you live in Vim, Helix, Emacs, or JetBrains and switching editors is not on the table. The Vim-mode plugin for Cursor is workable but not great, and dedicated JetBrains AI integrations are catching up. Also skip if your work is primarily large-scale refactors and codebase exploration — Claude Code will serve you better there.

For the engineer with a budget for exactly one AI tool, Cursor is still the right pick in 2026. For the engineer with a budget for two, the answer is Cursor plus Claude Code, and the productivity step-up from running both is the largest gain in this space right now.

The bottom line

Cursor is the safest, most polished, most “just works” entry point to AI-augmented coding. It has held that position against well-funded competition for two years. The line-by-line completion experience remains the best in the market. Where it falls behind is at the heavy end of agentic coding, which is a real gap but also one most engineers will not feel daily. For the vast majority of senior engineers, this is the tool to install first and the one you will still be using a year from now.