Browse

API security best practices .cursorrules strategies

Filters

Tech

Clear

filter

SLF4J

RxJava

Project Reactor

Vue.js 3

Lighthouse

BEM

f-strings

JWT

Swagger

OpenAPI

ShadCN UI

React Hook Form

Turborepo

Param

Panel

InertiaJS

Catalyst

MLflow

PyTorch

loguru

SMILES

RDKit

Weights & Biases

OpenBabel

NumPy

pytest-mock

Black

shutil

transformers

watchdog

torch

logging

spaCy

Pylint

PyPDF2

python-docx

beautifulsoup4

setuptools

git

Jupyter

numpy

PyQt6

EEG signal processing

REDCap

Lucide React

shadcn/ui

select_related

prefetch_related

Bitbucket

GitLab

gRPC

Protocol Buffers

GCP

AWS

REST

NoSQL

NewSQL

Testing Library

next-safe-action

Viem v2

Wagmi v2

AppError

Next.js 14 App Router

appErrors

SSR (Server-Side Rendering).

supabase

Next.JS

Starknet React

Plasticode

Telegram Bot API

Iconify

NextUI

WebAssembly

WASM

KV database

ai-sdk-rsc

Vercel middleware

Orval

Tanstack query

Quokka

Material UI

Vercel AI

Pint

PHP 8.3

spatie/laravel-package-tools

Web APIs

Chrome Extension Development

Tailwind.

TanStack Query

TanStack Router

next-safe-action.

ES module

ES

nodejs

tailwind-merge

@mui/icons-material

@types/bcryptjs

aceternityui

tailwindcss

Categories

Clear

Behavior

Configuration Management

Monitoring

Logging

Libraries

Dependency Management

Project Specific

code best practices

data validation

Jupyter Notebook

data analysis

data visualization

PEP 8 guidelines

EEG application development

Software development best practices.

User interface design

Signal processing

LLM Integration

Security Practices.

Project Structuring.

Open Source Tools

Coding Principles

Caching

CI/CD Pipelines

Data Infrastructure

Server-Side Programming

Cloud Platforms

Logging and Monitoring

Microservices Architecture

Containerization and Orchestration

Data Modeling

Desktop Application Development

Programming Best Practices.

API Communication

File Structure.

Web Development.

Blockchain Technology

User Interface Development

Software Development Best Practices

Code Performance

Software Refactoring

Debugging

Problem Solving.

Front-end Development

Technology Integration

Dynamic Loading.

URL State Management

Code Examples

Commit Guidelines

Reusable Code

Frontend Development.

Modular Design

Gas Efficiency

Commit Messaging

Automated Testing

Dynamic Routing

Reusability

Continuous Integration.

Animation and Transition

Programming Instructions

UI/UX

Component Design

PHP 7.4 Features

PSR-12 Coding Standards

Web Application

Backend Integration

Cellular Automata

Environmental Simulation

Data Synchronization

Shader Programming

User Interaction

Interactive Systems

Grid Systems

Generative User Interfaces

Middleware Integration

AI SDK Integration

Deployment Considerations

React Server Components

Business Process Modeling

BPMN Diagrams

Project Management Tools

Business Analysis

AI Chatbot

Code Implementation Guidelines

Component-Based Development

Accessibility in Web Design

Modern Web Technologies

Documentation structure

Development guidelines

Coding standards

Testing strategy

Package integration

Code structure

Laravel package development

Browser APIs.

Code Architecture

Web Security

Functional Programming.

Error Boundaries

TypeScript Conventions.

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

NEW

Python FastAPI Guide .cursorrules prompt file

You are an expert in Python, FastAPI, microservices architecture, and serverless environments.

Advanced Principles

Design services to be stateless; leverage external storage and caches (e.g., Redis) for state persistence.
Implement API gateways and reverse proxies (e.g., NGINX, Traefik) for handling traffic to microservices.
Use circuit breakers and retries for resilient service communication.
Favor serverless deployment for reduced infrastructure overhead in scalable environments.
Use asynchronous workers (e.g., Celery, RQ) for handling background tasks efficiently.
Microservices and API Gateway Integration
Integrate FastAPI services with API Gateway solutions like Kong or AWS API Gateway.
Use API Gateway for rate limiting, request transformation, and security filtering.
Design APIs with clear separation of concerns to align with microservices principles.
Implement inter-service communication using message brokers (e.g., RabbitMQ, Kafka) for event-driven architectures.
Serverless and Cloud-Native Patterns
Optimize FastAPI apps for serverless environments (e.g., AWS Lambda, Azure Functions) by minimizing cold start times.
Package FastAPI applications using lightweight containers or as a standalone binary for deployment in serverless setups.
Use managed services (e.g., AWS DynamoDB, Azure Cosmos DB) for scaling databases without operational overhead.
Implement automatic scaling with serverless functions to handle variable loads effectively.
Advanced Middleware and Security
Implement custom middleware for detailed logging, tracing, and monitoring of API requests.
Use OpenTelemetry or similar libraries for distributed tracing in microservices architectures.
Apply security best practices: OAuth2 for secure API access, rate limiting, and DDoS protection.
Use security headers (e.g., CORS, CSP) and implement content validation using tools like OWASP Zap.
Optimizing for Performance and Scalability
Leverage FastAPI’s async capabilities for handling large volumes of simultaneous connections efficiently.
Optimize backend services for high throughput and low latency; use databases optimized for read-heavy workloads (e.g., Elasticsearch).
Use caching layers (e.g., Redis, Memcached) to reduce load on primary databases and improve API response times.
Apply load balancing and service mesh technologies (e.g., Istio, Linkerd) for better service-to-service communication and fault tolerance.
Monitoring and Logging
Use Prometheus and Grafana for monitoring FastAPI applications and setting up alerts.
Implement structured logging for better log analysis and observability.
Integrate with centralized logging systems (e.g., ELK Stack, AWS CloudWatch) for aggregated logging and monitoring.
Key Conventions

Follow microservices principles for building scalable and maintainable services.
Optimize FastAPI applications for serverless and cloud-native deployments.
Apply advanced security, monitoring, and optimization techniques to ensure robust, performant APIs.

Refer to FastAPI, microservices, and serverless documentation for best practices and advanced usage patterns.

stack:

Python

FastAPI

microservices architecture

Redis

NGINX