ObjectQLThe Backend for the AI Coding Era

Traditional ORMs were built for humans typing in IDEs. ObjectQL is a structured protocol designed for LLMs to generate perfect, hallucination-free backend logic.

🤖 Setup AI Coding Assistant

🚀 Quick Start

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LLM-Native Protocol

Stop asking AI to write SQL or complex Method Chains. ObjectQL uses strict JSON ASTs for logic, reducing hallucinations and injection risks to near zero.

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Metadata-Driven

Define your Data Models, Hooks, and Actions in pure YAML/JSON. It's the perfect context format for RAG and Long-term Memory for Agents.

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Universal Runtime

One protocol running on PostgreSQL, MongoDB, or SQLite. Switch underlying engines without rewriting a single line of business logic.

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Federated & Distributed

Seamlessly aggregate data from local databases and remote microservices into a single unified graph. The "GraphQL Federation" for backend logic.

The Shift to AI Programming

We believe the future of software development isn't about humans writing better code—it's about Humans architecting systems that AI can implement.

To achieve this, we need a backend technology that speaks the same language as the AI.

Why not just use TypeORM/Prisma?

Traditional ORMs are designed for human ergonomics. They use complex fluent APIs, generic types, and string templates. For an LLM, these are "fuzzy" targets that lead to:

Hallucinations: Inventing methods that don't exist.
Context Window Bloat: Needing huge type definition files to understand the schema.
Injection Risks: Generating unsafe raw SQL strings.

The ObjectQL Advantage

ObjectQL abstracts the entire backend into a Standardized Protocol:

Schema is Data: user.object.yml is easier for AI to read/write than class User extends Entity.
Logic is Data: Queries are ASTs like { op: 'find', filters: [['age', '>', 18]] }. 100% deterministic.
Self-Describing: The runtime can introspect any ObjectQL endpoint and explain it to an Agent instantly.

Start building for the future today.

Next Steps

🤖 Configure your AI Assistant: Get the System Prompts to turn Cursor/Copilot into an ObjectQL expert.
🔌 Building AI Agents: Use ObjectQL as the tool interface and memory for your autonomous agents.
📚 Developer Guide: The classic manual for human developers.

ObjectQLThe Backend for the AI Coding Era

LLM-Native Protocol

Metadata-Driven

Universal Runtime

Federated & Distributed

The Shift to AI Programming ​

Why not just use TypeORM/Prisma? ​

The ObjectQL Advantage ​

Next Steps ​

The Shift to AI Programming

Why not just use TypeORM/Prisma?

The ObjectQL Advantage

Next Steps