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.
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. It rebuilds on every push, and the clusters seeing real activity glow — so the map is never the stale picture in a wiki. 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 codebase brain
It knows your product — including the code
Your architecture as a living graph, on the same spine as customers and revenue. Click through what it gives you.
Your architecture as a graph
- Modules clustered by feature, dependencies as chords
- Rebuilds itself on every push — never a stale wiki diagram
Documentation that writes itself
- Generated from the code graph and kept in sync
- Nobody has to maintain a wiki
It shows what is alive
- Clusters with real activity glow
- See where the work actually is
Code on the customer's record
- Trace a feature to the code that ships it
- …and to the revenue that depends on it
Shown: the real AIOProductOS codebase — we run on this.
The map
Every module, wired the way it actually is.
One interactive graph of the whole codebase: modules grouped into feature clusters, dependencies braided as chords, sized by how load-bearing each piece is. Click a module to open its wiring — and the map rebuilds itself as your code changes.
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.
It stays current on its own: the map rebuilds on every push and twice a day, straight from the GitHub connector — no CI to wire, no diagram to maintain. Need it now? Refresh on demand any time.
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
- · stripe/route.ts — backfills customers + MRR
- · github/mapping.ts — repos, languages, activity
- · sentry/mapping.ts — errors → work items
db · webhooks
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
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. The architecture graph builds from GitHub — connect it and the map appears, no CI or devops on your side — while deploys, errors and schema land on the same spine alongside it.
GitHub · GitLab · Bitbucket
The architecture graph builds from GitHub today — deepest for TypeScript/JavaScript + Supabase. GitLab and Bitbucket sync repo metadata onto the spine next to revenue.
Vercel · Netlify · Cloudflare
A deployment timeline with project, environment, state, branch and commit. Know when a feature actually shipped.
Sentry
Production errors land as work items with stack traces — a live error feed joinable to accounts and features.
Supabase · Firebase
Schema and access posture — tables, policies, auth config. We never read your customers' data rows.
Inngest
Async jobs, failures and retries become visible work items — the invisible half of your system, on the record.
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.
Get started
See your own architecture on the spine.
Connect GitHub in one click — no CI, no YAML, nothing to wire up. Repos and languages sync in minutes, the graph builds from there, and it keeps itself current.
FAQ
Questions, answered
What does Codebase Brain show?
Your architecture as an interactive graph — repos, modules, dependencies and ownership — plus a full code-asset inventory and auto-extracted docs, so you can see the system instead of reading through it.
Which tools feed it?
The architecture graph builds from your GitHub repos — connect GitHub and it appears, with no CI or devops on your side. Alongside it on the same spine: GitLab and Bitbucket repo metadata, deploys from Vercel, Netlify and Cloudflare, and errors from Sentry — next to your customers and revenue.
Where do the docs come from?
They're auto-extracted from the mapped codebase, so documentation reflects the actual modules and their relationships instead of going stale in a wiki.
Why map the codebase inside a product OS?
Because it sits on the same spine as revenue and product work — so a module isn't just code, it's tied to the features and customers it serves. That's the 'why,' priced in revenue and code.
Do I have to keep it updated?
No. Connect GitHub and the map rebuilds itself — on every push and twice a day — with zero CI or devops setup. The clusters seeing real activity glow, so it reflects where work is actually happening. The manual refresh is still there if you ever want it on demand.