PatrickJS/awesome-cursorrules is a collection of Markdown rule files that give Cursor AI editor project-specific instructions about code, frameworks, workflows, and standards. Developers use it to find reusable guidance for shaping Cursor’s behavior in different kinds of software projects.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/PatrickJS/awesome-cursorrulesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/patrickjs/awesome-cursorrules/fastapi-production-architecture-cursorrules-prompt-file)<a href="https://agentmods.dev/rules/patrickjs/awesome-cursorrules/fastapi-production-architecture-cursorrules-prompt-file"><img src="https://agentmods.dev/badge/rules/patrickjs/awesome-cursorrules/fastapi-production-architecture-cursorrules-prompt-file/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/rules/patrickjs/awesome-cursorrules/fastapi-production-architecture-cursorrules-prompt-file"><img src="https://agentmods.dev/badge/rules/patrickjs/awesome-cursorrules/fastapi-production-architecture-cursorrules-prompt-file.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01939 | $0.01939 |
| Opus 5.5 | $0.00776 | $0.00776 |
| Sonnet 5.5 | $0.00388 | $0.00388 |
| Haiku 4.5 | $0.00194 | $0.00194 |
Grade A, and why
fastapi-production-architecture-cursorrules-prompt-file scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FastAPI Production Architecture Rules
Principles for production-ready FastAPI services.
LAYER ARCHITECTURE (Principles A1-A8)
This codebase follows strict 4-layer architecture: Router → Service → Repository → ORM/HTTP/Storage. Imports flow downward only. Each layer has hard boundaries you must NOT cross.
Router rules (app/routers/**)
- Handlers are THIN: ≤10 lines of executable code per handler
- Allowed imports: fastapi, app.schemas., app.core.deps, app.services.
- FORBIDDEN imports: sqlalchemy, httpx, boto3, app.models., app.repositories.
- Every endpoint declares response_model= for OpenAPI fidelity
- Every protected/business endpoint requires user_id: str = Depends(get_current_user_id)
- Public endpoints (health checks, webhooks, callbacks) are exempt from auth
- Business logic lives in services. Routers parse input, call one service method, return response.
GOOD: @router.post("/wallet/charge", response_model=WalletResponse, status_code=201) async def charge( req: ChargeRequest, user_id: str = Depends(get_current_user_id), svc: WalletUserService = Depends(get_wallet_service), ) -> WalletResponse: wallet = await svc.charge( user_id=user_id, amount=req.amount, idempotency_key=req.idempotency_key, ) return WalletResponse.from_domain(wallet)
BAD (business logic + SQL in router): @router.post("/wallet/charge") async def charge(req: ChargeRequest, db: Session = Depends(get_db)): wallet = db.query(Wallet).filter(Wallet.user_id == user_id).with_for_update().one() ...
Service rules (app/services/**)
- FORBIDDEN imports: sqlalchemy, httpx, boto3, redis, FastAPI Request/Response/HTTPException
- Constructor injects Protocol-typed dependencies, not concrete classes
- Raise domain exceptions (InsufficientFundsError), not HTTPException
GOOD: from app.repositories.protocols import WalletRepoProtocol class WalletUserService: def init(self, repo: WalletRepoProtocol): # Protocol, not SQLAlchemy Session self._repo = repo
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 210 lines · 0 tokens per session scan A 62503a48d4aa
fastapi-production-architecture-cursorrules-prompt-file is a cursor rule published in the GitHub repository PatrickJS/awesome-cursorrules (41,072 stars, last pushed 5mo ago), licensed CC0-1.0. It adds 1,939 tokens to every session, about $0.0078 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other cursor rules, from other repositories
fastapi-file-structure
A recommended FastAPI project structure that separates routes, configuration, security, database sessions, create/read/update/delete operations, models, and schemas into modules.
fastapi-dependency-injection
Guidelines for using dependency injection in FastAPI. Dependency injection lets a function receive services such as database sessions, settings, or the current user instead of creating them itself.
graphql-apollo-client-usage
A usage guide for fetching, changing, and subscribing to GraphQL data with Apollo Client in React. It covers loading and error states, cache updates, refetching, and reusable GraphQL fragments.
fastapi-performance-metrics
Rules for measuring and improving FastAPI performance, including response time, request capacity, error rate, resource use, database queries, caching, and load testing.
springboot-jpa-best-practices
A set of Chinese-language rules for structuring Java Spring Boot applications that use JPA, a library for database access.
django-best-practices
A broad set of coding rules for Django projects, covering views, models, forms, databases, APIs, security, testing, and project structure. Django is a Python web framework.