Codex inspects repositories, modifies code and runs development tasks end to end. GitMir gives it product-level context before it drills into implementation — and checks each change against the product before it is committed.
Updated
Yes. Add GitMir as an MCP server in Codex: it gets the business logic a task touches before it starts, and with GitMir Vibe each change is checked against the product before it is committed.
Codex 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.
With GitMir Vibe each change Codex makes is checked against the product before it is committed; GitMir Business Review reports what each push changed in the product.
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 Codex 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
One command adds GitMir Vibe to Codex — your GitMir account shows it, and so does gitmir.com/with/codex. You sign in, pick the repository on GitHub, and GitMir starts reading it.
GitMir does not replace Codex 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 Codex 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 Codex and not a promise about yours.
Codex
A coding agent that inspects repositories, modifies code and runs development tasks end to end, using the tool and data connections configured for it.
Codex is built to carry a task through on its own — read, change, run, check — in the terminal or in the cloud. Like any agent, it starts each task from what it can read; the product's rules and customer paths are rebuilt from the files every 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.
Carrying a task end to end amplifies what the agent does not know: a rule in another area, a customer path the change reaches. Without a model of the product, each run rediscovers them — or misses them.
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 Codex: it gets the business logic a task touches before it starts, and with GitMir Vibe each change is checked against the product before it is committed.
GitMir does not replace Codex 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.
One command adds GitMir Vibe to Codex — your GitMir account shows it, and so does gitmir.com/with/codex. You sign in, pick the repository on GitHub, and GitMir starts reading it.
Carrying a task end to end amplifies what the agent does not know: a rule in another area, a customer path the change reaches. Without a model of the product, each run rediscovers them — or misses them. 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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