See the product behind the code

GitMir turns cal.com into a living model of how the product works — what is connected, what depends on what, and what changes affect.

365,422 lines → 4.7 MB of Product Intelligence

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cal.com
CAL.COM · 365,422 LINES READ
GitMir guide

GitMir has read cal.com: what it does, what depends on what, and what a change could affect. Here is one question it answers — ask your own below.

You

Where is it riskiest to make a change?

GitMir guide

The riskiest place to change is “platform”: more of the product depends on platform-libraries than on anything else.

138 inbound dependencies · computed from the reach graph, not estimated

The drawing
platform
Your existing stack + GitMir

Your tools already plan, find, build and review
GitMir gives them the same product understanding

Claude Code, Cursor, Sourcegraph, Augment and the rest of your engineering stack already help people and AI reach the right implementation, dependencies and history. GitMir adds the understanding of how the product works that would otherwise have to be rebuilt for every new task.

Your stack today
  1. Task
  2. Find the relevant implementation, dependencies and history
  3. Understand how this part of the product works
  4. Reason about the change
  5. Implement

For each new task, the relevant product understanding still has to be reconstructed from implementation context.

Add GitMir
  1. Task
  2. Start with existing Product Intelligence
  3. Reason about what exists and what needs to change
  4. Open the exact implementation needed
  5. Implement with the tools you already use

The product understanding is already there — for this task, the next task and the next person or agent.

Keep your tools. Give them the same understanding of the product.

GitMir turns that shared understanding into reusable Product Intelligence.

Claude Code · Cursor · Codex · Linear · Jira · Sourcegraph · Augment · CodeRabbit

See how GitMir works with your stack
Product history

The product has a history too

Git shows how the code changed. GitMir keeps those changes connected to the product. Across analyzed commits, you can see which product areas, behaviours, screens and customer paths each change reached. Implementation-only commits remain visible without being presented as product changes.

16 MOST RECENT COMMITS · 14 TOUCHED MODELLED BEHAVIOUR · 2 MOVED CODE ONLY · MODEL BUILT 2026-09-03

  1. 2026-08-08176037d0af2 files
    fix(emails): customReplyToEmail no longer dropped when hideOrganizerEmail is true (#29940)

    lib

    Server · 1

    lib utilities

    Functions · 1

    getReplyToHeader

  2. 2026-08-05b2c28a23ab2 files
    fix: language update functionality #29900 (#29901)

    web

    Screens · 2

    GeneralView, UserForm

  3. 2026-08-055e3fe3cbe61 file
    fix(bookings): provide stable country fallback for phone input (#29740)

    web

    Screens · 1

    PhoneInput

Each commit of cal.com is mapped onto the model through the files the model was read from. The cabinet goes further on your own repository: every push updates the model, and the history compares two builds to say what was added, changed, renamed or removed.

Measured on supabase

Compact enough to reuse

365,422lines of source covered
19.4×smaller than the source it came from
up to 2,247×less text served to answer a measured question

MEASURED ON THE PUBLISHED SUPABASE SCOPE — APPS/STUDIO + PACKAGES/PG-META — AT THIS VERSION AND THIS QUESTION WORKLOAD.

The founder-attested record exists for the Supabase run; for this one the figures come from the run ledger and the model index — verified by tooling, not attested.

SOURCE github.com/calcom/cal.comLICENSE MITBASED ON COMMIT 176037d · READ SEP 3, 2026

Based on commit 176037d, read on Sep 3, 2026 — the model shows the product as of that commit, not today’s branch.

Why this repository

A product with real consequences

Booking is where software meets money and time

A change to availability or cancellation reaches calendars, payments, notifications and the people on both sides of the meeting. It is exactly the kind of product where “what would this break” is worth answering from product behaviour first, and confirming in the files second.

A third shape for the method

A dense product surface with a large integration store — different again from a database platform and from a coding agent. The same run filled it completely, with zero conflicts and no invented references.

Record status

The figures above come from the run ledger and the model index. Cal.com is published under the MIT licence; the model is built from the source at the commit named above.

Your turn

See your own product this way

Connect one repository. GitMir builds a reusable understanding of how your product works, so your people, AI agents and existing tools can work from the same product picture.

Current product logicwhat exists now
Requirementswhat you want to change
Development taskswhat needs to be done
Product historywhat actually changed over time
Shared product understandingthe same product picture for your people and AI

One understanding of your product. Reused by every person, agent and task that needs it.

10,000 STARTING INTELLIGENCE CREDITS INCLUDED

Pricing · Security and deployment

What would make this more useful for you?

Tell us what you would want to ask, analyze, compare or understand next. We use this feedback to decide what capabilities to build next.

— received— reviewed— actioned

Something wrong in the model of GitMir Model — Cal.com? ·