Cursor Rules Template: Compliance Training from Internal Policy Manuals

Overview

Cursor rules configuration defines the constraints, roles, and workflow expectations Cursor AI uses to convert internal policy manuals into a compliant training assistant. This Cursor rules template targets the Python FastAPI + PostgreSQL stack and codifies how prompts, citations, and quizzes are generated from policy sections. Cursor rules template ensures safe, auditable AI-assisted development.

Direct answer: This template provides a ready-to-paste .cursorrules block and a concrete project layout to build a production-grade compliance training assistant with Cursor AI.

When to Use These Cursor Rules

Transform internal policy manuals into training prompts with policy citations.
Ensure auditable prompts and citations that survive code reviews.
Provide a production-ready folder structure with testing and linting in place.
Enforce authentication, secret management, and secure data handling.

Copyable .cursorrules Configuration

.cursorrules
version: 1.0
stack: python-fastapi-postgresql

frameworkRole: Developer Experience Engineer for Cursor AI
context: You are building a compliance training assistant that ingests internal policy manuals and returns training prompts, quizzes, and policy citations. Citations must reference policy sections and redact secrets.

codeStyle: PEP8, Black, isort
architecture:
  - app/
  - config/
  - infra/
  - tests/
  - scripts/
  - docs/

authentication:
  type: OAuth2 with JWT
  tokenHeader: Authorization: Bearer 

database:
  orm: SQLAlchemy 2.x
  migrations: Alembic
  database: PostgreSQL

testing:
  unit: pytest -k unit
  integration: pytest -k integration
  lint: flake8 or ruff
  ci: GitHub Actions

prohibited:
  - Do not embed internal policy documents in prompts without citation
  - Do not hard-code credentials
  - Do not log policy documents in plain text
  - Do not bypass policy approvals

notes: This is a practical template; replace placeholders with repo specifics.

Recommended Project Structure

compliance-app/
├── app/
│   ├── api/
│   │   └── v1/
│   │       ├── training.py
│   │       └── policies.py
│   ├── core/
│   │   ├── config.py
│   │   └── security.py
│   │── models/
│   │   └── policy.py
│   └── main.py
├── config/
│   └── settings.py
├── tests/
│   ├── unit/
│   └── integration/
├── scripts/
└── docs/

Core Engineering Principles

Safety-first design with auditable policy citations
Data minimization and secret management
Clear separation of concerns and dependency injection
Deterministic prompts and deterministic tests
Observability through structured logging and tracing
Continuous validation against policy manuals

Code Construction Rules

Use FastAPI with async endpoints and SQLAlchemy 2.x ORM
Validate policy citations with Pydantic models; require citation blocks
Leverage dependency injection for auth, DB sessions, and services
Avoid dynamic imports; keep code review-friendly and testable
Do not hard-code policy data; load from policy docs or versioned storage

Security and Production Rules

Do not log PII; redact sensitive fields in all outputs
Store secrets in a dedicated vault or environment with least privilege
Enforce TLS, rate limiting, and robust input validation
Audit prompt generation with policy citations and versioned policy sources

Testing Checklist

Unit tests for prompt transformers and citation extractors
Integration tests for the API endpoints and DB interactions
End-to-end tests with sample internal policies
Linting, type checks, and CI workflow validation
Security scanning and dependency checks

Common Mistakes to Avoid

Missing policy citations or incorrect references
Exposing internal policy documents unintentionally
Hard-coded secrets or credentials
Overly large policy documents not streamed or batched

FAQ

What is Cursor Rules Template?

A Cursor Rules Template is a copyable configuration block that encodes stack-specific rules for Cursor AI. It governs how internal policy manuals are ingested, transformed into training prompts, and cited. It is designed for rapid paste into a project root as a starting point for compliant AI-assisted training.

Which stack does this template target?

This template targets a Python FastAPI + PostgreSQL stack using SQLAlchemy 2.x, OAuth2 JWT authentication, and Alembic migrations. It emphasizes safe, auditable prompt generation from internal policy documents.

How do I paste and use the .cursorrules block?

Copy the entire code block under Copyable .cursorrules Configuration into your repo root as .cursorrules and ensure the project loads the rules at startup to shape prompts and citations.

How can I customize for my internal policy manuals?

Point your policy sources to a versioned store, implement a policy citation extractor, and map policy sections to training prompts while validating outputs against policy changes.

What security practices are enforced?

Redact secrets, enforce least privilege, store credentials in a vault, enforce TLS, and audit every policy citation reference source. Do not leak internal policy data in prompts or logs.

Target User

Use Cases