Get reliable answers.
Ask what exists, how it works, what changed or what a requirement touches — without investigating the source manually.
GitMir reads a repository once and keeps a description of what the product does: the records it holds, the screens and endpoints, the rules, and what depends on what. After that you type a question in plain English and get an answer written from that description, with the parts it was assembled from shown underneath so you can check it. The same answers are available to an AI assistant over MCP, and it is the same material either way.
Connect a repository — GitHub, GitLab or Bitbucket — to a project in your workspace.
Press Build and wait for the first read to finish.
Type your question in the Ask box on the project page, or press one of the suggested starters, which are filled in with the areas of your own product.
Read the answer, then open the parts it was built from to see where it came from.
Switch the view — Developer, CTO, Product or AI Product — to change which questions are offered first.
Answers come from the model built from your repository, not from a running system: GitMir knows nothing about live data, current traffic or production incidents. One model is one repository — there is no screen for asking one question across several repositories at once. Nothing can be asked before the first build finishes, and the empty repository page says so rather than showing a blank box. Free-typed questions in the workspace's assistant rail are capped at 6 a minute and 40 an hour per team.
See it on a real product.
Three models are published in full and open without an account. Ask one of them the question this page is about.