Architecture as Instruction

How Sirpi makes AI-driven development 100% reliable.

Context Anchoring

The biggest failure of LLMs is architectural drift. Sirpi prevents this via SIRPI.md—a machine-readable manifest that acts as a "Sovereign Truth" for the AI. When an LLM enters a Sirpi project, it is instantly primed with the constraints of the 9 Laws.

Semantic Rejection

The Sirpi Linter doesn't just fail; it coaches. It provides high-signal feedback that tells the LLM exactly why a pattern violates Object Calisthenics and how to refactor it. This creates a self-correcting development cycle where the AI learns the architecture through the build gate.

Token Efficiency

By using the **Sculpt DSL**, we minimize the boilerplate the LLM has to generate. This keeps the AI focused on business logic rather than infrastructure, reducing costs and increasing the accuracy of the generated features.