Windsurf is an AI code editor whose agent plans and makes multi-file changes. GitMir gives that agent the business logic of your product before it edits — and checks each change against the product before it is committed.
Updated
Yes. Add GitMir as an MCP server in Windsurf: the agent asks GitMir what a task touches before it edits, and GitMir Business Review can report what each push changed in the product.
Windsurf gets the rules, customer paths and features the task touches and how they connect — including parts that share no word with the task — and the commit that answer is current to.
GitMir Business Review reports what each push changed in the product — the customer paths, status flows, rules and records — so a person sees what Windsurf's work did.
The part of the product a task needs instead of the whole repository: in Benchmark 001 the same model worked from 8.4K tokens a question with GitMir against 61.3K reading the repository.
What Windsurf is told is what your people see in GitMir and ask in Slack — so a person can check what the agent was working from.
How to connect
Add GitMir's MCP address to Windsurf — your GitMir account gives the address and a key for any MCP client. Connect the repository in GitMir, and the agent can ask it from the first task.
GitMir does not replace Windsurf as your coding agent — it makes it work from the product. Where you would hand a whole accepted task to an agent and supervise it, GitMir Cloud Compute can carry it out instead: it does work a person has accepted on the project's board, in its own sandbox, from the same Intelligence, and commits it back with its checks and what it changed in the product — a Remote Worker at $99 per project per month, with no per-token billing.
Add GitMir when a change starts reaching parts Windsurf did not open, when several people and agents work on the same product, or when someone has to explain what a commit did to the business.
Measured on the projects GitMir has run — the same workflows timed with and without GitMir under the coding agents those teams use; the AI cost is from Benchmark 001. A measurement of those projects, not of Windsurf and not a promise about yours.
Windsurf
An AI code editor with an agent that plans a change, edits across files and runs commands inside the editor, and connects to outside tools through MCP.
Windsurf is built around an agent that keeps the flow of a change inside the editor. Its knowledge of the product is what it reads from the repository for the task in front of it, so the rules and customer paths in other areas are re-inferred each time.
GitMir
Features, rules, customer paths and how they connect, built from your code and kept current with every push.
GitMir establishes what a product does once, from the repository, and serves each task only what it needs — with every statement traceable to the source it came from.
Multi-file changes reach further than the files in view. The rule a change breaks and the customer path it reaches are the product, not code the agent happened to open.
Positioning per each vendor’s own public description. Nothing here says a tool is bad at what it is built for.
Yes. Add GitMir as an MCP server in Windsurf: the agent asks GitMir what a task touches before it edits, and GitMir Business Review can report what each push changed in the product.
GitMir does not replace Windsurf as your coding agent — it makes it work from the product. Where you would hand a whole accepted task to an agent and supervise it, GitMir Cloud Compute can carry it out instead: it does work a person has accepted on the project's board, in its own sandbox, from the same Intelligence, and commits it back with its checks and what it changed in the product — a Remote Worker at $99 per project per month, with no per-token billing.
Add GitMir's MCP address to Windsurf — your GitMir account gives the address and a key for any MCP client. Connect the repository in GitMir, and the agent can ask it from the first task.
Multi-file changes reach further than the files in view. The rule a change breaks and the customer path it reaches are the product, not code the agent happened to open. GitMir builds the business logic of the product once — features, rules, customer paths and how they connect — keeps it current with every push, and gives the part a task touches to people and to AI.
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