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See the product behind the code.

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

27,422 lines → 0.2 MB of Product Intelligence

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Faktorio
FAKTORIO · 27,422 LINES READ
GitMir guide

GitMir has read Faktorio: what it does, what depends on what, and what a change could affect. Below is one question it answers from that reading. Ask your own — the answer names the parts of Faktorio it reaches.

You

Where is it riskiest to make a change?

GitMir guide

The riskiest place to change is “Shared & root”: more of the product depends on invoice than on anything else.

84 INBOUND DEPENDENCIES · COMPUTED FROM THE REACH GRAPH, NOT ESTIMATED

The drawing
Shared & root
Already understood

The product picture already exists.

27,422 lines of implementation have already been interpreted into 287 named parts of the product. It captures how the product works, what depends on what, and which parts of the product a change could affect — so the same understanding can be reused across new tasks as the software evolves.

27,422lines of implementation
287named parts described
One real customer path

Issue a new invoice

Builds a Czech invoice from a client contact, the supplier profile and line items: suggests the next number, converts foreign currency at the CNB rate for the taxable-supply date, computes VAT per rat

Affected product areas
srcthe react web app (faktorio-fe/src): invoice, contact, received-invoic
srcthe trpc api cloudflare worker (faktorio-api/src): jwt auth, invoice/c

16 STEPS · 2 AREAS · 8 SCREENS · 8 ACTIONS

This product understanding already exists before the next developer or AI agent starts investigating the task. Instead of rebuilding the same picture from implementation, they can start from here.

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.

22 MOST RECENT COMMITS · 14 TOUCHED MODELLED BEHAVIOUR · 8 MOVED CODE ONLY · MODEL BUILT 2026-09-23

  1. 2026-09-21c35fcca7 files
    Document email composers with reproducible Playwright screenshots

    Code moved; nothing the model describes changed.

  2. 2026-09-21edf79aa2 files
    update readme

    Code moved; nothing the model describes changed.

  3. 2026-09-2188df89b17 files
    Add invoice and payment reminder emails with editable localized templates

    src · Shared & root

    Screens · 7

    FeatureComparison, InvoiceDetail, InvoiceDetailPage, ShareControls, useInvoiceQueryByUrlParam, InvoiceEmailControls +1 more

    Server · 4

    invoiceRouter, sendEmail, trpcContext, Invoice Email Templates

    Functions · 19

    getEmailDraft, sendInvoiceEmail, count, create, createShare, delete +13 more

    Records · 1

    Env

    Reactions · 3

    Invoice deletion cascade, Due date derived from issue date, Invoice totals from line items

    Status flows · 3

    Invoice email delivery, Invoice payment, Invoice share link access

    6 files outside the current model — picked up on the next update.

Each commit of Faktorio 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.

27,422lines of source covered
19.4×smaller than the source it came from
up to 210×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/capaj/faktorioLICENSE MITCOMMIT 729c7fa8a5MODEL BUILT SEP 23, 2026
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.

Build Intelligence for my repository

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