Claude Code vs Cursor for a team working from a backlog

Stefan-Iulian Tesoi · 12 October 2026 · 7 min read

Choose by how work changes hands. Cursor suits a developer steering changes from inside an editor; Claude Code suits handing a whole item to an agent and reviewing what comes back. Plenty of teams run both, and both can read one backlog over MCP, so the choice does not have to be made once for everyone.

Claude Code vs Cursor is mostly not a contest of models: Cursor offers Claude models among others, so one model can sit behind both. The products differ in where the developer is while the work happens. Product details below are from each vendor's documentation in October 2026.

What is the actual difference between Claude Code and Cursor?

Cursor is an AI code editor, a fork of VS Code with agents built in; Claude Code is an agent that started in the terminal and now also runs in IDEs, a desktop app and the browser. Cursor has a CLI, invoked as agent, with a print mode for scripts and CI. Claude Code ships an extension that installs into Cursor itself. Both run cloud sessions that open pull requests, both connect to MCP servers, and both have hooks that can block an action before it runs.

What is left is a default posture. Cursor agent mode puts the diff in front of the developer as it forms, in the editor where they would have made the change by hand. Claude Code, as a terminal coding agent, assumes the developer has described the job and stepped back: it reads, edits, runs the tests and reports. Each can be pushed towards the other's posture. Teams that pick one usually pick it for its default.

Steering versus delegating: two ways work changes hands

Steering keeps a person in the loop at every step; delegating moves the person to the two ends, the work order and the review.

The difference matters most to a team working from a backlog, because it decides what the item has to carry. A developer steering in an editor reads the item and fills its gaps as they go: the file it forgot to name, the edge case nobody wrote down. The gaps stay unwritten. A delegated run has nobody to fill them. The item is the whole specification, and a thin one comes back as a plausible change to the wrong thing.

Teams often discover their backlog problem the week they start delegating, because steering had hidden it. A tracker built for people to read hides it too, which is the argument of Jira alternatives for teams running coding agents.

Which kinds of work suit each one?

The split is by item, not by person. The same developer can steer one change in the morning and delegate three items before lunch.

Steer, in Cursor's editor or in Claude Code inside an IDE, when:

• the result has to be seen, as with layout and interaction work;
• the code is unfamiliar and needs reading alongside the agent;
• every hunk of a refactor needs a decision;
• writing the work order would take longer than making the change.

Delegate, to Claude Code from the terminal or to either product's cloud agent, when:

• the item has acceptance criteria a test can check;
• a migration or dependency upgrade has a test suite behind it;
• a bug has a reproduction;
• several independent items can run at once.

For parallel runs, a Claude Code background agent moves into its own git worktree under .claude/worktrees/ before editing, so several sessions can share one checkout without colliding. Cursor's cloud agents, formerly called background agents, each run in their own VM and are charged at API pricing for the selected model. Either way, the review queue is the limit, not the agent count.

Claude Code vs Cursor on rules, context and review

Rules are where a team using both tools pays, because each reads its own files first.

Both tools load some instructions late, and that is the property to design around. A Cursor rule attached by glob arrives once a matching file is in context. A CLAUDE.md in a subdirectory arrives when Claude Code first reads a file there. Our own workspace is a parent directory over six repositories, each with its own CLAUDE.md, and a session started from the parent loads none of the six at launch. The rule we could least afford to have read late, never edit the shared checkout, is not left to the file. A hook refuses edits and git writes there, whatever the agent has or has not read.

An instructions file asks. A hook refuses. The rules a team cannot afford to have skipped belong in the second.

The shared part of the instructions belongs in one AGENTS.md that both tools read, with CLAUDE.md importing it, as what belongs in an AGENTS.md file sets out. Cursor's rules documentation is explicit that a plain .md file in .cursor/rules is ignored, which is how a rules folder copied from another project goes quietly unread.

Cursor's team features, as an AI code editor for teams, are mostly shared configuration: Team Rules an admin can enforce, team hooks on Enterprise plans, and cloud agents teammates can watch but not redirect unless an admin allows it.

What does each one hand back for review?

In the editor, a diff a person has already watched; from a delegated run, a branch or a pull request the reviewer sees for the first time.

A steered change had a reviewer the whole way, its author, and needs a lighter second look. A delegated change had none, so it needs evidence a reviewer can re-run: the commands, their exit codes, the criteria checked. Cursor's cloud agents attach screenshots, videos and logs. A Claude Code background agent ends with a report saying what it did and where the work is, commits without asking, and pushes the branch when the repository has a remote.

Either way, the reviewer checks the change against the item's acceptance criteria.

Laimonade sits on that side of the handover. Both tools connect to the same MCP endpoint, fetch the same item with its criteria and the project's CLAUDE.md, AGENTS.md and Cursor rules files, and hand the work back with evidence. A coding agent in either tool can take an item to In Review and no further. Setup for both is in connect your coding agent.

Frequently asked questions

Do CLAUDE.md and Cursor rules have to be kept in sync?

Only the part both tools need, and that part is better kept in one file. Put shared conventions, commands and no-go areas in AGENTS.md, which Cursor reads natively, and start CLAUDE.md with @AGENTS.md so Claude Code reads it too. Keep tool-specific instructions in each tool's own file. Two copies of one rule drift, and the stale copy is the one that gets read.

Can both tools connect to the same MCP server?

Yes. One server can serve both, configured in .mcp.json for Claude Code and .cursor/mcp.json for Cursor, each committed to the repository. Cursor's cloud agents support HTTP and stdio servers, with OAuth for servers that need it. Sign each person in separately rather than sharing one API key, so work stays attributed to whoever drove the agent, as connecting Claude Code to your backlog explains.

Can a team run both against the same backlog?

Yes. The item, its acceptance criteria and the review standard stay the same whichever tool produced the diff. What has to be shared is the handover: one place items come from, one instructions file, one definition of done. The stages of running coding agents in a team workflow assume no particular editor.

Which is easier for a developer new to agents?

Cursor, usually, because the agent works in an editor the developer already knows and every change is visible as it is made, which is also how a newcomer learns what agents get wrong. Claude Code asks for more up front: a clear task, permission settings, and the habit of reviewing a finished diff rather than watching it form.