Tools / Coding & Development AI
Cursor
by Anysphere
Pricing
Has a free plan. Paid plans start at $20/mo.
Visit Cursor →Affiliate link — we may earn a commission at no extra cost to you. Full disclosure.
What it does
Cursor, built by Anysphere, is a fork of Visual Studio Code with AI wired into the editor rather than bolted on as an extension. Because it's a fork, your existing VS Code extensions, themes, keybindings, and settings import on first launch, so the surface feels familiar while the AI sits closer to your code than a plugin can.
Three capabilities do most of the work:
- Tab (autocomplete): predicts your next edit, not just the next token. It will suggest multi-line changes, jump the cursor to the next place you likely need to edit, and propose deletions, not only insertions.
- Chat with codebase context: ask questions about your repo and Cursor retrieves relevant files via an indexed embedding of the project, so answers reference your actual code instead of generic patterns.
- Agent (Composer): describe a change in plain language and Cursor plans it across multiple files, writes the edits, runs terminal commands when allowed, and presents a diff for approval.
You bring your own intent; Cursor handles the mechanical typing, file-hopping, and boilerplate.
Who it's best for
Working software engineers who live in their editor for hours a day. The value scales with codebase size and edit frequency: the more files you touch and the more conventions your project carries, the more Cursor's repo-awareness pays off. It fits full-stack and backend web developers especially well, since those stacks involve frequent small edits scattered across many files.
It's a poor fit for someone who opens an editor once a week to tweak a config. For that, a browser chat tool is simpler and cheaper.
Where it's strong
Next-edit prediction. Cursor's Tab model is the feature people switch for. It reads recent edits and surrounding files, then predicts where you're going. After a rename or a signature change, it will often offer to propagate the same edit down the file with repeated Tab presses. The accuracy gap versus a plain single-file autocomplete is noticeable once you're in a real codebase.
Agent mode that respects review. Ask for "add a rate limiter to the login route" and the Agent locates the route, writes the middleware, wires it up, and shows a diff. Nothing lands without your approval, and you can run it against a checkpoint so reverting a bad run is one click. It's not autonomous in any trust-it-blindly sense, but it removes the tedium of multi-file plumbing.
Model flexibility. Cursor lets you pick the underlying model per task, with frontier options from Anthropic, OpenAI, and Google available, plus a fast default for routine completions. Choosing a stronger reasoning model for a gnarly refactor and a cheaper one for autocomplete is a real lever competitors that lock you to one provider don't give you.
Codebase indexing. The embedded index means chat and Agent can find the right file without you naming it. On large repos this is the difference between a useful answer and a confidently wrong one.
Where it's weak
Cost is unpredictable at the high end. The free tier is limited, and the main paid plan starts at $20/month. That covers most individual developers, but heavy Agent users — large refactors, long sessions, premium models — can run through included usage and incur overage on top of the subscription. If your monthly spend matters, watch the usage dashboard for the first few weeks before assuming the base price is your real price.
Stability and churn. Cursor ships fast, and rapid releases occasionally bring regressions or shift behavior between versions. Teams that need a frozen, predictable toolchain may find the pace disruptive.
It can over-edit. Agent mode sometimes touches more than you asked — reformatting untouched lines, "fixing" code it considers wrong, or sprawling a small request into a large diff. The approval gate catches this, but only if you actually read every diff. Rubber-stamping defeats the safety net and is how subtle bugs slip in.
Privacy posture needs checking. Code is sent to model providers for completion and chat. Cursor offers a privacy mode that prevents code retention, but if you work under strict data-handling rules, confirm the current policy and your organization's requirements before enabling it on sensitive repositories.
Lock-in to the workflow. Once multi-file edits and next-edit prediction become muscle memory, plain VS Code feels slow by comparison. That's a switching cost worth pricing in.
Pricing context
There's a free tier with capped completions and limited premium-model requests — enough to evaluate the workflow, not enough for daily professional use. Paid plans start at $20/month for individuals, with higher business tiers adding centralized billing, seat management, and privacy/admin controls. The figure to scrutinize isn't the sticker price; it's your usage-based overage if you lean on the Agent and premium models. (Prices change; verify current tiers on Cursor's site.)
How it compares
- Windsurf (Codeium) is the closest competitor — also a VS Code-derived AI editor — and starts at a lower paid tier. Its agentic flow is more streamlined out of the box; Cursor's Tab and model choice are generally stronger. Worth trialing both.
- GitHub Copilot is cheaper and integrates as an extension inside your existing VS Code or JetBrains setup, so there's no editor switch. It's the safer pick if you want AI assist without changing tools or if your shop standardizes on the GitHub/Microsoft stack. Cursor pulls ahead on whole-repo agentic edits.
- For non-developers building apps from prompts, a tool like Lovable or v0 fits better than any of these IDE-first editors.
Verdict
If you write code professionally, Cursor is worth the base subscription for the Tab model alone. The day-to-day uplift on routine work — renames across files, adding a feature flag, scaffolding tests, wiring a new endpoint — is real and consistent. Treat the Agent as a fast junior who needs every diff reviewed, watch your usage if you push it hard, and confirm the privacy settings if your code is sensitive. For most engineers it's the strongest AI editor to start with, with Windsurf and Copilot as legitimate alternatives depending on budget and how much editor change you're willing to absorb.