Cursor

Cursor is worth it if you code often and want AI built in as a core part of the editor, not a plugin bolted onto your usual workflow. It’s a code editor based on VS Code (you can import your extensions and shortcuts with no friction) that lets you chat with your project’s code, request full refactors, or autocomplete entire blocks of logic instead of one line at a time.

The difference from a traditional autocomplete assistant is that Cursor understands the context of several files in the repository at once, which makes it useful for changes that touch multiple parts of the codebase, not just isolated lines. Since mid-2025 it also moved to a credit-based model: every paid plan includes a credit pool equal to its price, which only gets spent when you manually pick a “frontier” model (Claude, GPT, Gemini); Auto mode, which picks the model for you, is unlimited on every paid plan.

In practice

This shows up in tasks like asking it to explain a complex function inherited from another developer before touching it, handing it a refactor that touches ten different files and reviewing the full diff before applying it, using chat to debug an error by pasting the full stack trace, or letting Agent mode complete a task end to end (creating an endpoint, its tests and the docs) while you review the final result.

Plans and pricing (2026)

• Hobby (free) — no credit card required, with a limited allowance of agent requests and access to a smaller set of models.
• Pro (USD 20/mo, or USD 16/mo billed annually) — unlimited Tab completion, extended agent limits, and a USD 20 monthly credit pool for manually using frontier models; Auto mode stays unlimited.
• Pro+ (USD 60/mo) — the same setup as Pro but with a considerably larger credit pool, aimed at people using frontier models more heavily.
• Ultra (USD 200/mo) — the highest individual tier, with the largest credit pool available.
• Teams (USD 40 per user/mo, or USD 32/mo billed annually) — adds centralized administration, team billing, an internal marketplace, automated code review with Bugbot, and SAML/OIDC SSO.
• Enterprise (custom) — pooled usage across the organization, SCIM seat management, repository and model access controls, and audit logs.

For this review we tested chat over a real repository, a refactor touching several files, and Agent mode completing a task end to end on the Pro plan, comparing the result against other editor-integrated coding assistants. We also looked at Bugbot, the automated code review feature included with the Teams plan, on a real pull request to see how well it flagged issues before a human looked at it.

What to know before choosing

As with any generative code AI, it’s worth reviewing changes before shipping them to production: it can introduce subtle bugs that compile fine but break an edge case that wasn’t part of the context it received. The credit system is also less predictable than a traditional flat price — if you use frontier models manually and constantly (instead of leaving everything on Auto mode), it’s easy to burn through the Pro plan’s credit pool before the month ends and end up buying extra credit.

Worth it for developers and product teams already coming from VS Code who want AI to be a structural part of the editor: the migration is practically immediate. For anyone just starting out or coding occasionally, the free Hobby plan is enough to test whether the workflow actually clicks before paying.

Compared with GitHub Copilot, the main difference is approach: Cursor is a full editor built around AI from the ground up, while Copilot gets added as a layer on top of existing editors. If your team is willing to switch editors in exchange for deeper integration with the repository’s code, Cursor makes sense; if you’d rather keep your current editor unchanged, Copilot or a similar extension may be the lower-friction path.