Intent before SQL
Backenly extracts the entities, relationships, access rules and actions from the description before a single statement is written, so the plan can be read and questioned first.
Your agent asks. Backenly builds it right.
Tables, relations, APIs, auth and access rules, planned as typed actions, applied as one governed change and verified against the running backend.
Your agent, over MCP
You: What tables does this project have?
Agent: read_backend_state
users, recipes, follows, favorites,
with columns, types and relations.
You: Add saved_searches with user_id
and query.
Agent: apply_migration: applied. Served at
/db/saved_searches immediately.
You: Drop the users table.
Agent: Not available over MCP. Sent to the
Review Queue: 1,284 live rows.
Approve it in the dashboard.In practice
Take the description "users can post recipes with photos, follow each other, and save favorites; users only edit their own recipes." Backenly shows the full plan first: four tables (users, recipes, follows, favorites), the foreign keys between them, the API endpoints, and the access policies derived from that last clause. You confirm, the platform applies the plan as governed steps, and then comes the part that separates this from a code generator. It verifies the result behaviourally: a real test signup over live HTTP, real CRUD calls against the new endpoints, and a second test user who is proven to receive zero rows of the first user's private data. Every check comes back with expandable evidence, in your agent's response and in the project history. If one fails, you see the failure, not a green checkmark.
What it is
Backenly turns a description of what your product needs into a running backend. Your coding agent reaches it over MCP, either through typed tools that compile straight to SQL, or by describing the change in natural language and letting Backenly plan it. Either way the result is the same kind of object: ordinary PostgreSQL tables with real relations, served as REST, protected by row-level security, with auth and storage wired in.
How it works
Take a description like "an e-commerce app with products, orders and customers, where each order belongs to a customer and holds several products." Backenly extracts the entities and how they relate, chooses column types, adds foreign keys and indexes, and derives access policies from any rules you stated. All of it becomes a plan of typed actions that says what each step touches. Additive work applies as one atomic change behind a restore point; anything destructive waits for a person. Every new table is served as an API the moment it exists.
Why it matters
An agent can write backend code well. What it cannot do is remember the schema after the session ends, notice that a policy is wrong, or stop itself from dropping a table on a bad turn. Building inside a governed platform keeps what an agent is good at and removes what it is not: the schema persists, every change is checked against the running backend, and nothing destructive happens without you.
What you get
A normalized schema
Correct PostgreSQL column types, constraints, indexes and foreign keys, chosen from the description rather than defaulted.
APIs from the first table
Every table is served as REST the moment it exists: list, create, read, update, delete, filtering and ordering, behind the same authorization as the database.
Changes after the first build
Describe the next change and Backenly plans it against the live schema, incrementally, with no hand-written migration. Every change is recorded with its actor and its diff.
Common questions
Backenly serves a standard REST API, so anything that can make an HTTP request can use it: JavaScript, Python, Swift, Kotlin or anything else. A JavaScript SDK is included, and the CLI generates a typed client from the live schema.
Yes. Describe the change at any time, whether a new table, a renamed column or a new relationship, and Backenly plans it against the live backend and applies it incrementally. Every change is recorded, and on Pro and above any recorded change can be rolled back.
Backenly handles multi-entity schemas with relationships, business rules and role-based access control. It is built for real production applications, and the verification checks run against the live backend whatever its size.
Related features
- Postgres databaseDescribe the data model. Backenly creates the tables, relations, indexes and row-level security, in a schema that belongs to your project alone.
- REST APIEvery table is served by PostgREST, straight from the PostgreSQL catalog. Nothing to regenerate: a table created a second ago is queryable now.
- AuthenticationSign-up, sign-in, sessions and access control on every plan, signed with a secret that belongs to your project alone.
- Operations and autonomyNo Docker, no Kubernetes, no cloud console. Backenly runs the backend, snapshots before every deploy, and watches it every minute once it is live.
Try it on a live project
One free project, no card. Connect your agent over MCP and read the verification evidence yourself.