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Neo Kim is the author of The System Design Newsletter, a weekly publication on Substack aimed at helping readers become more proficient in their work. The newsletter has garnered hundreds of thousands of subscribers.

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Designing an AI chat system at scale requires careful consideration of architecture, performance, and cost management to handle millions of users effectively.
Timsort is a highly efficient hybrid sorting algorithm that optimizes sorting by leveraging existing data order and combining techniques from merge sort and insertion sort.
This post outlines the architecture of search systems, detailing the roles of web crawlers and search engines in efficiently processing and indexing web content.
The post advocates for Context Engineering over Prompt Engineering to enhance AI agent performance by dynamically assembling relevant information for better decision-making.
A practical guide for software engineers on effectively using AI coding tools through an iterative workflow that emphasizes context, planning, and thorough reviews.
ChatGPT Apps revolutionize user interaction by allowing seamless integration of third-party applications directly within the chat interface, enhancing the booking and search experience.
The post explores the intricate architecture of payment systems in ride-sharing apps, emphasizing security, tokenization, and the role of AI in enhancing research workflows.
Designing a hotel booking system requires careful consideration of concurrency, strong consistency, and a well-defined architecture to prevent issues like double bookings.
AI agents represent a significant advancement in automation, enabling more flexible and intelligent task execution compared to traditional robotic process automation.
MCP revolutionizes AI integration by standardizing connections to data sources, enabling dynamic capability discovery, and reducing the complexity of custom integrations.
Context engineering optimizes the information provided to AI models, enhancing their ability to generate accurate responses by managing the context effectively.
A detailed guide on designing a scalable real-time chat application, focusing on architecture, message delivery, and encryption strategies.
An in-depth exploration of stock exchange architecture, focusing on order processing, concurrency, and the integration of AI agents for enhanced system performance.
Designing a video-sharing platform like YouTube involves addressing scalability, processing complexity, and user experience through effective system architecture and API design.
Essential system design concepts for software engineers are explored, highlighting scalability, availability, reliability, and the differences between SQL and NoSQL databases.
Preparation for system design interviews requires a systematic approach, focusing on clarifying requirements and validating assumptions to succeed in ambiguous problem-solving.
Engineers must prioritize cybersecurity by understanding vulnerabilities and implementing best practices to protect systems from potential attacks.
Essential techniques and patterns for successful system design in 2026 are explored, highlighting their functionalities and importance for engineers.
High availability is essential for operational continuity, utilizing metrics to manage performance and recovery, while introducing Orchids.app for customizable app development.
A comprehensive guide to essential system design concepts for software engineers, detailing foundational and advanced topics with practical insights and real-world analogies.
A visual exploration of computer science fundamentals, covering transistors, logic gates, CPUs, and programming languages to enhance understanding of the subject.
Message queues in software systems function like grocery store checkout lines, managing requests efficiently through FIFO ordering and scaling strategies.
Reinforcement Learning enables agents to learn from their environment through trial and error, and this post simplifies 21 key concepts for better understanding and application in AI.
Behavioral interviews assess candidates' interpersonal skills and decision-making, making clear articulation of past experiences essential for success in technical roles.