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Rule Atlas / Adoption Paths / Generated Catalog

26 Cursor Rules, mapped for adoption.

The site first explains what each `.mdc` rule is for, which stack it supports, and how rules combine. Architecture, data flow, and references become evidence layers rather than the homepage identity.

26 Rules6 Categories52 Generated pages

Understand rules by family before entering the full catalog.

Each family represents an adoption context: quality, languages, frameworks, mobile apps, backend services, and engineering infrastructure.

Rules are not a single choice; they compose around project structure.

A file can match language, framework, and engineering rules at the same time. Readers should understand that model before copying rules.

React product UI

typescript.mdcreact.mdctailwind.mdc

Constrain types, component boundaries, and styling expression together.

FastAPI service

python.mdcfastapi.mdcdocker.mdc

Constrain language style, API shape, and containerized delivery together.

Mobile feature work

android.mdcgitflow.mdccodequality.mdc

Constrain platform code, collaboration flow, and quality baseline together.

Rule Catalog

Search, filter, and copy adoptable rules directly.

Results: --
-- Rules-- Categories-- Global

Proof layer

The catalog comes from a generation pipeline, not a hand-written list.

Source Rules

Root `.mdc` files define the real public surface.

Build Pipeline

Validation and catalog generation scripts convert curated rules into runtime assets and localized shells.

Reading Surfaces

Homepage, academy, architecture, and research each serve a distinct explanatory role.

Further reading

Research, related projects, and evolution notes give rule engineering its context.

Open research references

26 curated .mdc rules for better AI coding assistance.