Product intelligence for reasoning.
Code intelligence for evidence.
Sourcegraph gives teams and agents code search, navigation, history and analysis at scale. GitMir adds a compact product-level model that can say which behavior matters before anyone drills into the exact implementation.
KEEP YOUR EXISTING WORKFLOW.
Workflow The two products are used side by side, by a person or by the agent they run. Nothing passes directly between them.
What Sourcegraph already does well.
Sourcegraph
- Searches code at the scale of every repository a company owns
- Gives people and agents access to repositories and their history
- Exposes programmatic code analysis to supported clients
GitMir does not stand in for code intelligence. It reasons one level above it and hands the exact question down.
What GitMir adds
- Which product behavior a requirement touches, before anyone searches
- A compact product model that a person or an agent can read whole
- Requirements and development tasks in the same place as the model
- Product-level change across analyzed commits
Start reasoning one level above the code.
Today
- Requirement
- Where is the implementation?
- Read the evidence
- Decide what matters
- Make the change
With GitMir
- Requirement
- Which product behavior matters?
- Where is the implementation evidence?
- Make the change
Both layers are needed. The product layer decides what matters; the code layer proves where it lives.
Two levels, in order
- Requirementwhat the team means to change
- GitMirwhich product behavior matters
- Sourcegraphwhere the implementation evidence is
- Claude Code · Cursor · Codexmake the change
A workflow map. The two products are not connected to each other; a person or a client runs both.
See the level above the code.
The public Supabase model answers a product question and then shows the files behind the answer — the point where a code-search tool takes over.
What could break if subscription cancellation changes?
An example, so you can see the answer without uploading anything of yours.
- Areas it reachesBilling & Subscription · Support · Usage · Project Settings · Organization
- RecordsSubscription · DiskAttributes · OrganizationUsage
- Actions · 9updateOrgSubscription · confirmPendingSubscriptionChange · sendDowngradeFeedback
- Endpoints · 8PUT /platform/organizations/{slug}/billing/subscription · POST /platform/feedback/downgrade
- Screens · 7cancel or downgrade the subscription · change the plan
- Customer pathsChange an organization's plan
One run, published in full.
GitMir has published one measurement, and it does not speak to this combination. It compared context systems answering the same questions about a single repository — a different thing from the workflow this page describes. The full table, every system in it and the method behind it are on the benchmarks page.
It did not measure a stack. A Sourcegraph-assisted workflow has not been run against the same workflow with GitMir added, so this page claims no result for that combination.
What changes, and what does not.
Is GitMir a replacement for Sourcegraph?
No. They work at different levels: one answers what the product does, the other answers where it is implemented.
Do the two products talk to each other?
No. A client such as Claude Code can hold more than one MCP server at a time, so both can be sources inside your client — that composition happens on your side, and we have not tested that particular pairing.
Keep your stack. Add the product layer.
Connect one repository and put a product layer above the code intelligence you already run.
3,000 STARTING CREDITS INCLUDED · YOU SEE THE ESTIMATE BEFORE A BUILD STARTS · PROCESSING STOPS WITH YOUR BALANCE AND RESUMES AFTER A TOP-UP