Atris Backend Architecture
Enforces lean, intent-driven backend architecture and prevents over-engineering in AI-generated services and APIs.
The Atris Backend skill provides a structured policy framework for Claude to build efficient, maintainable APIs and data access layers. By integrating with the Atris self-improving context system, it ensures that backend code follows intent-based naming conventions, avoids premature abstractions through the 'rule of three,' and implements robust error handling. This skill guides the AI to check existing project patterns in MAP.md and validate all work against specific architectural policies, ensuring that AI-generated code remains simple, consistent, and production-ready.
Key Features
01Anti-N+1 query prevention and optimized data access patterns.
02Rule-of-three abstraction enforcement to prevent premature complexity.
03Automated policy validation using the 'atris review' workflow.
04Intent-driven naming conventions to eliminate vague utility and manager classes.
05Context-aware error bubbling for improved debugging and observability.
0654 GitHub stars
Use Cases
01Ensuring AI-generated backend services remain maintainable and free of over-engineering.
02Designing consistent REST or GraphQL APIs with predictable, 'boring' patterns.
03Building data access layers that prioritize performance and batching.