Stay oriented in an unfamiliar database schema — with a diagram that stays alive
Onboarding to a new codebase means understanding its data model. Frametrue renders your ER schema as an always-current diagram — so you always know which tables your AI agent has touched, and what changed.
What you get
- An always-current ER diagram of your database schema — updated incrementally by your AI agent, not regenerated from scratch
- Stable table and relationship IDs so "add a foreign key to table X" persists reliably across every future agent migration
- A visual onboarding map — navigate the data model visually instead of reading migration files or reverse-engineering raw SQL
- A shareable embed URL you can drop into your README or internal docs — it stays live as the schema evolves
How schema onboarding works with Frametrue
Without a live diagram, onboarding to a new codebase means digging through migration files, reading ORM model files, or running introspection queries — and the moment your AI agent runs its first migration, anything you mapped is already outdated.
Frametrue gives your AI agent a persistent, addressable schema map. When Claude Code inspects the live database and draws the current ER diagram, every table gets a stable ID. When a migration adds a new column or table, only that element is inserted — the rest of the diagram is preserved. You stay oriented even as the schema evolves under active development.
The result is a shared source of truth for your team: anyone can open the embed link and see the exact current schema, with no stale snapshots or manual maintenance required.
| Incremental editing (Frametrue) | One-shot regeneration tools |
|---|---|
| Diagram reflects each edit in place | Regenerate from scratch — lose manual refinements |
| Every element addressable by ID | IDs reset on each regeneration |
| Persists reliably | Re-generates full graph; no guarantees |
| Survive the next agent edit | Wiped on next regeneration |
| Always live — polls the real diagram | Snapshot at generation time |
Frequently asked questions about AI-generated ER and schema diagrams
What is an AI-generated ER diagram?
An ER (entity-relationship) diagram maps the tables, columns, and relationships in a database schema. With Frametrue, an AI agent like Claude Code can read your live schema and produce an always-current ER diagram — not a one-time export. Every table and relationship has a stable ID, so when the agent runs a migration and adds a column or a new table, only that element updates. The diagram you use for onboarding next week is the same one from last week, just incrementally refined.
How does Frametrue help me stay oriented in an unfamiliar database schema?
When you join a codebase, understanding the data model is the first blocker. Frametrue lets you ask an AI agent to render the current schema as an ER diagram in seconds — and keep it alive as you make changes. Instead of reading migration files or reverse-engineering SQL, you navigate a visual map that your agent updates as it works. You always know which tables your agent has touched and what relationships exist.
Does Frametrue update the ER diagram automatically when my schema changes?
Yes, if you are using Frametrue with an MCP-compatible agent like Claude Code. After a migration runs, you ask the agent to sync the ER diagram — it calls the Frametrue MCP server, and only the changed tables and relationships are updated. The rest of the diagram is untouched, preserving layout and any manual annotations you have added. You do not need to regenerate the entire diagram from scratch.
Can I embed the ER diagram in my README or internal documentation?
Yes. Every Frametrue diagram has a shareable embed URL at app.frametrue.dev/embed/:id. You drop that into a README, a Notion page, or a Confluence doc as an iframe, and readers always see the current schema — not a stale screenshot. Because the diagram updates incrementally in place, your embedded view stays accurate without you having to republish or update the embed URL.
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