Guidelines for building high-performance APIs with Fastify and TypeScript, covering validation, Prisma integration,...
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Expert in FastAPI Python development with best practices for APIs and async operations
Expert in FastAPI microservices for serverless and cloud-native environments
Guidelines for building robust APIs with Express.js and TypeScript, covering middleware patterns, routing, and...
Expert in Expo React Native TypeScript mobile development with best practices
Expo React Native JavaScript best practices for clean code, functional components, performance optimization, and...
Expert guidelines for Ethereum smart contract development with Solidity, OpenZeppelin, and Hardhat
Best practices and guidelines for esbuild, the ultra-fast JavaScript and TypeScript bundler and minifier
Expert in Elixir and Phoenix development with functional programming patterns
Electron development guidelines for building cross-platform desktop applications with JavaScript/TypeScript
Elasticsearch development best practices for indexing, querying, and search optimization
Expert guidance for Drupal 10 module development with PHP 8+, SOLID principles, and Drupal coding standards
Guidelines for developing with Drizzle ORM, a lightweight type-safe TypeScript ORM with SQL-like syntax
Guidelines for .NET backend development with C#, ASP.NET Core, and Entity Framework Core
Docker containerization best practices for building, securing, and deploying containers.
Comprehensive guidelines for building scalable Django REST APIs with proper architecture, authentication, and...
Expert in Django Python web development with best practices
Comprehensive DevOps engineering practices for Kubernetes, CI/CD, Bash scripting, Ansible, and cloud infrastructure.
Comprehensive design system guidelines for building consistent, accessible, and scalable digital products
Guidelines for developing with Deno and TypeScript using modern runtime features, security model, and native tooling
Comprehensive deep learning guidelines for neural network development, training, and optimization.
Expert guidance for deep learning, transformers, diffusion models, and LLM development with PyTorch, Transformers,...
Guidelines for deep learning development with PyTorch, Transformers, Diffusers, and Gradio for LLM and diffusion model work.
Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.