Codebase Brain

Your architecture, as a living graph.

Repos, modules, dependencies, who owns what — drawn from the code itself, not a diagram someone made in 2023. Docs extract automatically. And it all sits on the same spine as your customers and revenue, so "what does this feature touch?" finally has an answer.

Shown: the real AIOProductOS codebase — we run our company on this.

The map

Every module, wired the way it actually is.

One interactive graph of the whole codebase: modules as nodes, dependencies as edges, sized by how load-bearing each piece is. Click a module to open its wiring. Refresh in-app and the graph rebuilds from the repo.

    Built from the code

    Nodes, edges and module boundaries come from what the code actually imports — routes, functions, components, tables — not from a hand-drawn diagram that drifted.

    Ownership on the node

    Each module carries who owns it and how many files. New engineers get a map instead of a tribal-knowledge tour.

    Dependencies with weights

    Module-to-module edges show how hard things lean on each other — see what breaks before you touch it.

One button rebuilds it: hit "Refresh brain" in the app and the graph republishes from your repository.

Living docs

Documentation that writes itself.

Per-module docs generated straight from the graph: what the module is for, what it's made of, its most-connected pieces, the tables and RPCs it owns, and what it depends on. READMEs extracted from your repos sit alongside.

  • Deterministic — computed from the graph, no model call, no token bill.
  • Always current: every time the graph republishes, the docs already match.
  • "Depends on / used by" per module — the wiring in prose, not just pixels.
codebase / docs / connectors

connectors — 546 pieces

routes 38 · functions 412 · mappings 51 · tables 9

Key pieces

  • · stripe/route.ts — backfills customers + MRR
  • · github/mapping.ts — repos, languages, activity
  • · sentry/mapping.ts — errors → work items

Depends on

db · webhooks

Used by

pm · analytics · modules

Generated from the code graph · Example data

codebase / inventory
  • route api/connectors/stripe connectors 64
  • table analytics_event db 58
  • function stitchIdentity db 41
  • component BoardView pm 37
  • route api/codebase/brain/refresh codebase 22

Languages · all synced repos

TypeScript 68% · SQL 22% · other 10%

Sorted by connections — load-bearing first · Example data

The inventory

Every code asset. One searchable catalog.

Every node in the graph as a flat, filterable list: kind, name, module, file, and how many things connect to it — sorted load-bearing first. The tabular twin of the map, from the same source, so it's never out of sync.

  • Search and filter by kind, module, or name — find the piece, then its file.
  • Language breakdown aggregated across every synced repository.
  • Repo list with activity, visibility, stars, and open issues per code host.

What feeds it

Three code hosts in. Deploys, errors, and schema alongside.

Connect the engineering stack you already run. Everything listed here is live today with real sync — nothing on this page is a roadmap item.

    Code hosts

    GitHub · GitLab · Bitbucket

    Sync repositories with language breakdown and activity — your engineering architecture lands on the spine next to revenue.

    Deploys

    Vercel · Netlify · Cloudflare

    A deployment timeline with project, environment, state, branch and commit. Know when a feature actually shipped.

    Errors

    Sentry

    Production errors land as work items with stack traces — a live error feed joinable to accounts and features.

    Database schema

    Supabase · Firebase

    Schema and access posture — tables, policies, auth config. We never read your customers' data rows.

    Background jobs

    Inngest

    Async jobs, failures and retries become visible work items — the invisible half of your system, on the record.

    Out again

    Zapier · webhooks

    Spine events fire to outbound webhooks, so the rest of your tooling reacts without polling.

Each source lands per connector — connect one and its data flows; connect more and the picture fills in.

One spine

Code on one side. Customers on the other. Same record.

Most teams keep architecture in one tool and revenue in another, with nothing in between. Here, repos, deploys and errors land on the spine that already holds your accounts, subscriptions and feedback — so the feature, the code behind it, and the customers waiting on it stop being three separate questions.

Honest edge: code data joins the spine per connector. Sentry errors arrive as work items today; richer per-customer code views light up as each join lands.

1,734 nodes · 4,217 edges · 36 modules

The graph at the top of this page is our own. Those are the real numbers from the AIOProductOS architecture map — the same screen our team opens to onboard engineers and decide what a change will touch. We're not demoing a concept; we're showing you our codebase.

Early access

See your own architecture on the spine.

Connect GitHub in one click — repos and languages sync in minutes, and the graph builds from there. We'll walk you through it on your real stack.