Modern development is about speed, feedback, and staying in a state of creative flow. The biggest disruption to that flow is often the database. Developers are constantly forced to switch contexts: from writing application code in their IDE, to managing migrations with a CLI, to verifying data in a separate GUI. This friction slows down development and breaks concentration.
StatelyDB is designed to bring the entire database workflow directly into your IDE. Through a combination of schema-as-code, powerful code generation, and AI-assisted tooling, we provide a development experience where the database feels like a natural extension of your code, not a separate system you have to fight with.
The foundation of StatelyDB is a TypeScript-based Elastic Schema™. By defining your data model in a schema.ts file right in your project, you get all the benefits of a modern IDE for your database design.
Get suggestions for data types, field options, and validation rules as you type.
Your IDE will instantly highlight typos or incorrect type definitions, catching bugs before they ever reach the database.
Use standard JSDoc comments to document your item types and fields, and get that documentation surfaced automatically in your editor.
This schema-as-code approach turns your data model into a first-class citizen of your codebase, making it easier to understand, evolve, and maintain.
The foundation of StatelyDB is a TypeScript-based Elastic Schema™. By defining your data model in a schema.ts file right in your project, you get all the benefits of a modern IDE for your database design.
Get suggestions for data types, field options, and validation rules as you type.
Your IDE will instantly highlight typos or incorrect type definitions, catching bugs before they ever reach the database.
Use standard JSDoc comments to document your item types and fields, and get that documentation surfaced automatically in your editor.
This schema-as-code approach turns your data model into a first-class citizen of your codebase, making it easier to understand, evolve, and maintain.
Once your schema is defined, the stately schema generate command creates a native, type-safe client for your programming language. This is where the magic happens. The database's structure is instantly reflected in your application code, providing a seamless and powerful development loop.
Add a new field, change a type, or define a new item.
This single command updates your language-specific client.
Your editor will immediately provide:
This tight feedback loop eliminates the guesswork and manual checks common in other database workflows. You know your code is correct because the compiler and your IDE can verify it against the schema.
Once your schema is defined, the stately schema generate command creates a native, type-safe client for your programming language. This is where the magic happens. The database's structure is instantly reflected in your application code, providing a seamless and powerful development loop.
Add a new field, change a type, or define a new item.
This single command updates your language-specific client.
Your editor will immediately provide:
This tight feedback loop eliminates the guesswork and manual checks common in other database workflows. You know your code is correct because the compiler and your IDE can verify it against the schema.
For an even faster workflow, StatelyDB integrates directly with modern AI assistants through our Model Context Protocol (MCP) Server. This turns your editor into a conversational partner for database design. Instead
You:
"I need a StatelyDB schema for a simple plant watering app. It should track Users, their Plants, and a log of when each plant was watered."
The AI Assistant:
(Generates an initial schema.ts file, then uses the statelydb-validate-schema tool to check its own work.)
"I've created an initial schema, but it looks like I made a mistake in the WateringLog key path. Let me fix that... Okay, the schema is now valid. It includes User, Plant, and WateringLog item types. Does this look right to you?"
This "vibe coding" approach, as we call it, allows you to go from a high-level idea to a validated, production-ready schema in seconds, without ever breaking your creative stride. It is a core part of how we see the future of agentic software development.
For an even faster workflow, StatelyDB integrates directly with modern AI assistants through our Model Context Protocol (MCP) Server. This turns your editor into a conversational partner for database design. Instead
You:
"I need a StatelyDB schema for a simple plant watering app. It should track Users, their Plants, and a log of when each plant was watered."
The AI Assistant:
(Generates an initial schema.ts file, then uses the statelydb-validate-schema tool to check its own work.)
"I've created an initial schema, but it looks like I made a mistake in the WateringLog key path. Let me fix that... Okay, the schema is now valid. It includes User, Plant, and WateringLog item types. Does this look right to you?"
This "vibe coding" approach, as we call it, allows you to go from a high-level idea to a validated, production-ready schema in seconds, without ever breaking your creative stride. It is a core part of how we see the future of agentic software development.
With StatelyDB, the slow, context-switching loop of traditional database development is replaced with a fast, integrated, and enjoyable workflow that keeps you in your editor.
