Best Practices

FastAPI’s speed, async capabilities, and automatic API documentation make it ideal for building production-grade APIs serving Large Language Models (LLMs). This guide details best practices for deploying scalable, secure FastAPI applications handling LLM inference, streaming responses, and high-throughput requests.[1][3][5] LLM APIs often face unique challenges: high memory usage, long inference times, streaming outputs, and massive payloads. We’ll cover project structure, async optimization, security, deployment, and LLM-specific patterns like token streaming and caching. ...

Introduction Ultrathink is not a methodology—it’s a philosophy of excellence in software engineering. It’s the mindset that transforms code from mere instructions into art, from functional to transformative, from working to inevitable. In an era where AI can generate code in seconds, the differentiator isn’t speed—it’s thoughtfulness. Ultrathink is about taking that deep breath before you start, questioning every assumption, and crafting solutions so elegant they feel like they couldn’t have been built any other way. ...

Introduction TypeScript is a typed superset of JavaScript that compiles to plain JavaScript. It brings static typing, modern language features, and first-class tooling to the world’s most popular programming language. Whether you’re building front-end apps, Node.js services, or publishing libraries, TypeScript helps you catch bugs earlier, refactor safely, and communicate intent through types. This guide takes you from zero to hero. We’ll start with the essentials and build up to advanced topics like generics, conditional types, module augmentation, project references, and publishing typed libraries. You’ll see practical examples, configuration tips, and real-world best practices. At the end, you’ll find a curated list of high-quality resources. ...

Design patterns are time-tested solutions to recurring problems in software design. In Python, patterns take on a uniquely “pythonic” flavor because the language emphasizes readability, duck typing, first-class functions, and batteries-included libraries. This guide takes you from beginner to advanced—covering the classic Gang of Four (GoF) patterns, Pythonic equivalents, concurrency and async patterns, architectural patterns, and metaprogramming techniques. You’ll learn when to use a pattern, the pitfalls to avoid, and how to apply patterns idiomatically in Python so you can ship maintainable, scalable systems and be more capable than 99% of your peers. ...

Object-Oriented Programming (OOP) in Python is a superpower when you learn to use the language’s data model and protocols to your advantage. This tutorial is a comprehensive, end-to-end guide—from the very basics of classes and objects to advanced features like descriptors, protocols, metaclasses, and performance optimizations. The goal: to make you more capable than 99% of your peers by the end. What makes Python’s OOP special isn’t just syntax—it’s the “data model” that lets your objects integrate naturally with the language (iteration, context managers, arithmetic, indexing, etc.). We’ll cover essentials, best practices, pitfalls, and real-world patterns, with concrete code examples throughout. ...