459,339 lines of Supabase.
Interpreted once. Reused for every decision.
GitMir transformed the repository into a verified Object Context of domains, entities, actions, APIs, screens, journeys and lifecycles. Now developers, AI agents and architects can understand changes, trace dependencies, plan migrations and verify outcomes — without reconstructing the product from thousands of files every time.
3,972 FILES READ COMPLETELY · 2,263 PRODUCT OBJECTS · 90 KB SERVED INSTEAD OF 15.2 MB FOR MEASURED AGENT QUESTIONS
Five real questions. Answered from the model.
Pick a question. The answer, the impact path, the evidence and the context economics below are computed from the model's reach graph — not written by hand.
Answer
Cancellation is not one function. The model traces it from the cancellation screen through the subscription API into five product areas: the Subscription entity itself, usage accounting (OrganizationUsage), disk add-ons (DiskAttributes), the downgrade exit-survey in Support, and organization plan state. One user journey walks straight through the changed surface — "Change an organization's plan". A keyword search for "cancel" finds none of the usage or add-on dependencies: they share no words with the question.
Impact path
ƒ 9 actions (updateOrgSubscription, confirmPendingSubscriptionChange, sendDowngradeFeedback…) · ⇄ 8 endpoints · ▤ 7 screens
Evidence
Every object traces back to the code that produced it:
Context saved
COMPUTED FROM THE MODEL'S REACH GRAPH (2 HOPS OVER WRITES · CALLS · EMITS · SUBSCRIBES · CONSUMES · TRANSITION EFFECTS) AND THE ON-DISK SIZE OF THE TRACED SOURCE FILES.
Explore the drawing.
THE DRAWING IS LIVE: OPEN AN AREA TO SEE WHAT IS INSIDE IT, SWITCH TO JOURNEYS, DATA AND LIFECYCLES — EVERY OBJECT IS SERVED FROM /api/models/supabase.
One change. Two ways of understanding it.
Without Object Context
Search for "subscription" → dozens of files → relationships reconstructed by hand → dependencies missed because they share no keywords → the agent fills the gaps with assumptions that look convincing.
With Object Context
Subscription → Organization → Plan → Usage → Invoice → Credits → Permissions → Screens → APIs → User journeys
The relationships are already in the model — followed, not rediscovered.
GitMir finds dependencies even when they do not share the same names or keywords — the exact connections text search, GitHub search and code graphs miss, because the link lives in the product's behavior, not in the identifiers.
What one model gives each role.
Sees the full blast radius before changing code — which entities, endpoints, screens and journeys a change reaches, computed in seconds.
Receives only the objects, rules and dependencies that its task touches — 61 KB of billing meaning instead of 221 source files.
Understands the product through journeys and business objects — not through thousands of files and whoever is free to explain them.
Sees the connections between domains, ownership, architectural risk and the areas nobody has claimed.
Turns the affected Object Context into a verification plan: the lifecycles, journeys and contracts that must survive the change.
Sees how a user action travels through UI, API, data and states — the whole path of one decision through the product.
One repository. One product over time. Thousands of repositories.
Understand, change, verify
Everything on this page: blast radius before the change, task-scoped context for the agent, a verification plan after — from one interpreted model.
Product diff, not code diff
A new business object appeared; a lifecycle changed; a role gained access; an endpoint started affecting another journey; a business rule quietly disappeared. Move through the commits and watch the product change — not the code. In preparation on this model's history.
Search software by meaning
Find open-source products with multi-tenant billing. Compare authentication models across five platforms. See how different products implement subscription cancellation. Let AI reason across products by meaning, not filenames.
GitMir indexes software by meaning.
The proof behind the answers.
The Supabase monorepo holds 8,032 source files and more than a million lines — it cannot fit any context window. GitMir measured it, divided it into 359 tasks small enough to be analyzed completely, and processed them through a persistent queue: each task read its code in full, added verified findings to the shared model, and recorded unresolved references instead of inventing them.
The model, the task queue and the progress log are stored on disk, so a new session continues exactly where the previous one stopped — every finding verified, every unresolved reference recorded instead of invented.
Build the same context for your product.
Local. Free. Open source. The model lands in your repo, next to your code.