Stop Generating Code.
Start Preserving Meaning.
AI-generated code has 2.74x more security vulnerabilities—because code is the wrong artifact to generate. AYIOS eliminates generated code entirely. The schema IS your implementation, tests, and documentation. The compiler validates. The runtime enforces.
The Paradigm Inversion
Schema IS Implementation
Traditional: Requirements → Design → Code → Test → Document → Maintain. With AYIOS: Requirements → Schema → Deploy. No generated code means no generated vulnerabilities. Tests are derived. Documentation IS the schema. No drift because there is only one artifact.
AI as First-Class Developer
AI agents propose schema changes, not code that might be wrong. The compiler validates semantic correctness before anything runs. Humans review what the system should do, not how it does it.
Violations as Data
When something fails, you get structured JSON with mereological paths—not exception strings to parse. AI agents can reason about failures. Every violation includes what failed, why, and the exact path from whole to part.
AI That Remembers
Context windows compact. State vanishes. AYIOS preserves not just what you were working on, but how you were thinking about it. Sessions that persist across context limits.
What's New (March 2026)
Capabilities verified in production. Not roadmap items—working systems.
Schema → Full API
One specification generates CRUD operations, business flows, role-adaptive views, and OpenAPI documentation. Automatically. No code generation—the schema is the implementation.
Policy-Driven Views
Same data, different roles, different views. Server-authoritative security ensures masked data never leaves the boundary. A bank teller sees summaries; an admin sees full history. From the same schema.
Semantic Types
Money minus Money produces Money. The type IS the rendering specification. Not just validation—dimensional arithmetic that preserves meaning through every operation.
3 Runtime Surfaces
Node.js. Browser (WebAssembly). Python. Same semantic core, three deployment targets. Write the specification once; enforce it everywhere.
The Correctness Question
"Good React code in 2025 looks suspiciously like Elm code from 2015."
Elm proved that "if it compiles, it works" is achievable. But it stopped at the frontend. Compile-time only. No runtime enforcement. No domain types. No policy system. No AI agency.
We carry that philosophy to its logical conclusion: full-stack, runtime-enforced, domain-correct, and AI-native.
Thoughtworks named Specification-Driven Development as 2025's key emerging practice. We are the only commercial implementation with both compile-time validation and runtime enforcement.
Beyond Frontend Correctness
How It Works
Model meaning, not syntax. Define entities, predicates, and invariants in a specification language. The schema captures business semantics—what must be true, not how to check it.
Compiler validates, runtime enforces. The compiler catches semantic errors before deployment. The runtime enforces invariants at every operation. Violations return structured data with the full path to failure.
Integrate via AI-native tools. 37 typed, structured AI agent interfaces (MCP tools). Three runtime surfaces (Node.js, Browser, Python) for embedding semantic enforcement in existing systems.
Current Status
The platform is production-validated. One specification generates complete applications with CRUD, business flows, role-adaptive views, and API documentation. Three runtime surfaces from a single Rust core. Self-hosted: AYIOS tracks its own development.
Developer preview access is available for teams building AI-agent-driven applications.
Get Started
Interested in the developer preview or have questions about AYIOS?