Give coding AI the
understanding it is missing.
Use GitMir intelligence from the AI tools and agents you already work with, through MCP.
1,000 CREDITS FREE · NO CARD · NO MODEL MIGRATION · WORKS THROUGH MCP
Less context. Better results.
| Metric | GitMir | Augment Code | Unblocked | Sourcegraph Cody |
|---|---|---|---|---|
| Answer quality | 92% | 74% | 78% | 69% |
| Context | 8.4K | 31.6K | 27.4K | 38.1K |
| Cost / answer | $0.07 | $0.22 | $0.19 | $0.26 |
SAME MODEL. SAME REPOSITORY. SAME QUESTIONS. DIFFERENT INTELLIGENCE.
Closer to human intent.
This is how people work.
Without GitMir
- Ask
- Search
- Read
- Reconstruct
- Reason
- Answer
With GitMir
- Ask
- GitMir
- Answer
People ask about changes, problems and outcomes — not files and functions. GitMir reduces the work AI has to do before it can answer the actual question.
GitHub → GitMir → MCP.
Authorize a repository
As your software changes, GitMir intelligence changes with it
Access GitMir through MCP from the AI tools you already use
SCALE — · SHEET 1/1
Ask the system,
not the codebase.
This change affects several customer-visible behaviors and downstream operations.
- 4 critical consequences
- 2 conflicting behaviors
- 3 areas requiring verification
- 3 possible failure paths found
- 6 affected behaviors
WORKED EXAMPLES OF THE ANSWER FORMAT. PUT YOUR OWN QUESTION TO REAL SOFTWARE BELOW.
Don't take our word for it.
Ask GitMir about software you already know.
459,339 lines in.
90 KB served.
SAME REPOSITORY. SAME QUESTION SET.
Keep your AI stack.
GitMir works with the models, agents and development tools your company already uses.
Same intelligence.
Different decisions.
- What can break if I make this change?
- Where is complexity creating the most risk?
- What changes for customers if we ship this?
- Where are we paying AI to understand the same thing again?
One week of engineering,
measured twice.
Run the same team and AI workflow for one week without GitMir and one week with GitMir. Seven workflows every team runs weekly, measured both ways.
The agent starts from what the product actually does instead of guessing at it, so the second pass stops being where the work is.
SHARE OF A CHANGE SPENT AFTER IT WAS FIRST SHOWNThe same team, the same hours — less of them spent recovering understanding somebody already had.
CHANGES ACCEPTED PER QUARTER, INDEXEDWhat it touched and what it reached comes back with the answer, so review is a look rather than an archaeology.
MINUTES TO VALIDATE ONE AGENT TASKThe answer is on a screen both people are looking at, so the question stops being asked.
HOURS A WEEK PER ENGINEERHow the product behaves is already established, so the reading is minutes rather than an afternoon.
MINUTES BEFORE WRITING A LINEA person or an agent starts from what the product does, rather than from the repository and whoever is free to explain it.
DAYS TO A FIRST ACCEPTED CHANGEThe reach of a change is computed in both directions, so the answer is a screen instead of three meetings.
HOURS FOR A PM TO SIZE ONE CHANGEUnlike Benchmark 001 above, this table is a model of the mechanism rather than measured customer outcomes. Your own figures come from your own week.
What is reconstruction
costing your AI stack?
The benchmark above is a measurement. This is not — it is your own numbers run through two factors, both shown with where they came from. Connect GitMir to replace it with a measurement of your own.
per month · $716,252 a year, from work you are already doing.
THIS IS AN ESTIMATE. CONNECT GITMIR TO MEASURE THE REAL NUMBER. THE 63% AI FACTOR IS MEASURED ON BENCHMARK 001; THE 68% REWORK FACTOR IS ILLUSTRATIVE. ONE ENGINEER-MONTH IS TAKEN AS 150 HOURS. NOTHING YOU TYPE LEAVES YOUR BROWSER.
Your code stays
where you decide.
Source code stays in your environment
Use the GitMir Local Connector when repository source cannot leave your infrastructure.
View securityEverything inside your boundary
Private GitMir deployment for VPC, on-premise and isolated environments.
Talk to usCredits build and keep your
Intelligence current.
Building your Intelligence and keeping it in step with the product is real work, and that is what a credit buys. Asking it questions costs nothing — a GitMir answer needs 8.4K tokens of context where the alternatives need 27.4K, which is why we can leave it unmetered and they cannot.
Intelligence for 10 lines
A 100,000-line repository takes about 10,000 credits. You see the estimate before anything starts.
Connecting and staying current
Building the Intelligence for a source, and keeping it current as things change. Nothing else draws on them.
Asking questions
Unlimited on every plan, including free. Questions are what make the model worth having.
| Free | Developer | TeamRecommended | Company | Enterprise | |
|---|---|---|---|---|---|
| Price | $0no card required | $29per month | $199per month | From $999per month | Customscoped to your boundary |
| Credits | 200 / month plus 1,000 on sign-up | 5,000 / month | 20,000 / month | 100,000 / month | Agreed in the contract |
| Models up to | 12,000 lines | 50,000 lines | 200,000 lines | 1M lines | Your whole estate |
| Who it is for | Trying it out | One developer | Up to 10 users | Multiple teams | Your organization |
| Repositories | One | GitHub repositories | Multiple repositories | Multiple projects | Your sources, wherever they are |
| Questions | Unlimited | Unlimited | Unlimited | Unlimited | Unlimited |
| MCP access | Yours | Yours | Shared across the team | Shared across teams | Private MCP |
| Deployment | Cloud | Cloud | Cloud | Cloud | VPC, on-premises or isolated |
| Integrations | — | — | — | Company integrations, AI workflows | Custom integrations |
| Access control | — | — | — | — | SSO / RBAC |
| Support | — | — | — | — | SLA |
| Get started | Get 1,000 credits | Start on Developer | Start on Team | Talk to us | Contact sales |
RUN OUT MID-WAY AND THE MODELLING STOPS WHERE IT IS — NOTHING OVERSPENDS. TOP UP ANY TIME: 10,000 CREDITS FOR $45, ENOUGH FOR ANOTHER 100,000 LINES.
Connect a repository.
Measure the difference.
Run GitMir against the AI workflow you already use.
NO MODEL MIGRATION · MCP COMPATIBLE
SAME AI. DIFFERENT INTELLIGENCE.