awesome-architecture

Why we included this project

Engineers who want to think through a system before writing code will find a lot to work with here. The project is a curated knowledge base rather than a framework tutorial: it walks through an architecture-first method, turning vague requirements into constraints and weighing the trade-offs between performance, availability, consistency, and cost. You also learn to draw diagrams that actually communicate. The material covers classic distributed-systems topics like consensus, sagas, and resilience, and it reaches into newer territory such as RAG pipelines, coding agents, and AI-native system design, which makes it useful both for system-design interview prep and for shipping real production services. Architecture templates of real systems and end-to-end cases give you concrete maps to study instead of abstract theory, and teams working with AI coding tools will also get value from the later chapters on writing architecture constraints for AI and reviewing AI-generated output.