Javarevisited·1ySystem Design CheatSheet for Interview
This post provides a comprehensive cheatsheet of essential system design concepts commonly covered in interviews. Topics include REST API, networking, OAuth & JWT, cookies vs sessions, CI/CD workflows, Kafka, various databases, system testing, Git, Docker, Kubernetes, design patterns, logging, load balancing, and more. It's aimed at helping readers quickly revise these concepts before an interview.
Amir·24wIs Frontend Dead? The Evolution You Can't Ignore
Frontend development has evolved from simple UI work into full-system engineering. Modern frameworks like Next.js blur client-server boundaries with server components, edge deployment, and integrated data fetching. Developers now handle state management, security, performance optimization, and deployment—responsibilities traditionally split between frontend and backend roles. The shift demands understanding the complete user experience stack, from rendering strategies to authentication flows. This evolution creates opportunities for those who adapt by either broadening their skills across the full stack or specializing deeply in performance and user experience.
DEV·23wYou're Not Building Netflix: Stop Coding Like You Are
Over-engineering is a common trap for intermediate developers who apply enterprise patterns and abstractions to simple problems. The article argues against premature abstraction, showing real examples of unnecessarily complex code that could be replaced with straightforward solutions. Key principles include: abstract only what changes frequently, wait for three use cases before creating abstractions, avoid interfaces with single implementations, and prioritize readability over architectural sophistication. Simple, boring code that solves actual problems scales better than over-architected solutions designed for hypothetical future requirements.
System Design Newsletter·35w7 Best Practices for API Design 🔥
Seven essential practices for designing robust APIs: REST fundamentals for organizing data resources, proper error handling with clear status codes, API versioning for backward compatibility, rate limiting to prevent abuse, pagination techniques (offset vs cursor) for large datasets, idempotency to avoid duplicate processing, and filtering/sorting for efficient data retrieval. Each practice includes implementation details and trade-offs to consider.
LogRocket·1yA guide to modern frontend architecture patterns
Frontend architecture patterns provide reusable guidelines for structuring the frontend codebase of software products. Key patterns include monolithic, modular, component-based, microfrontend, and Flux architectures. Each pattern has its strengths, weaknesses, and best use cases based on project complexity, scalability, maintainability, and developer preferences. Understanding these patterns is crucial for creating scalable and maintainable frontends while avoiding costly refactors.
Hacker News·40wRead That F*cking Code!
AI coding tools like Claude Code enable developers to generate working code without reading it, but this practice leads to three critical issues: architectural decay, loss of domain knowledge, and security vulnerabilities. The author advocates for two responsible approaches: fast prototyping with post-session review for peripheral features, and synchronous pair-coding for core functionality. A comprehensive checklist covers architecture consistency, security scoping, meaningful tests, documentation, error handling, and performance considerations.
ByteByteGo·37wEP177: The Modern Software Stack
Explores the 9 layers of modern software architecture from presentation to infrastructure, explains the key differences between concurrency and parallelism in computing, compares JWT and PASETO authentication tokens, provides a Linux Cron scheduling cheatsheet, and introduces AI agents versus Model Context Protocol (MCP) for AI system integration.
Javascript developers·1yFrontend Clean Architecture - (Reactjs, Nextjs)
Simple React project structure based on Atomic Design and Clean Architecture principles, aimed at organizing folders for scalable projects. No error handling, authentication, or logic included, just a clean setup to start faster.
ByteByteGo·1yEP156: Software Architect Knowledge Map
Becoming a Software Architect involves mastering programming languages, gaining proficiency in essential tools, understanding key design and architectural principles, and acquiring knowledge in platforms, data analytics, networking, and security. Supporting skills such as decision-making, communication, and leadership are also crucial for a well-rounded skill set.
Javarevisited·27w6 Must-Read Books for Backend Developers in 2026
A curated list of six essential books for backend developers covering software architecture, design patterns, distributed systems, microservices, and data engineering. The recommendations include classics like "Designing Data-Intensive Applications" by Martin Kleppmann, "The Pragmatic Programmer," and "Building Microservices" by Sam Newman, focusing on fundamental principles that remain relevant despite changing frameworks and tools. Each book addresses critical aspects of backend development from API design and scalability to data pipelines and architectural trade-offs.
API Evangelist·1yOpenAPI Doctor is What API Innovation Looks Like Today
OpenAPI Doctor by Princess B33f Heavy Industries enhances API management by making OpenAPI and Spectral more visually manageable. The tool offers creative visual enhancements and abstracts complex rules to improve usability. It supports exploring API infrastructure with better visibility of requests and responses. Users are encouraged to try it out with their own OpenAPI specs and experience its functionalities, including YAML view and governance rule applications.
Javarevisited·51wMicroservices Architecture
Microservices architecture is advocated as an alternative to the monolithic style, offering scalability, flexibility, and independent deployment. It involves breaking down an application into multiple independent services, minimizing tight coupling and easing fault isolation. Considerations for adopting microservices include scalability needs, team expertise, and project complexity, while weighing their advantages and potential high setup costs and management complexity.
ByteByteGo·1yEP151: 24 Good Resources to Learn Software Architecture in 2025
ByteByteGo Newsletter shares 24 valuable resources for learning software architecture in 2025, including books, tech blogs, YouTube channels, and whitepapers. It also compares API styles (SOAP vs REST vs GraphQL vs RPC) and AWS services (SQS vs SNS vs EventBridge vs Kinesis). Additionally, it outlines methods to enhance API performance and introduces Grok-3, a powerful AI developed by xAI.
Three Dots Labs·49wSynchronous vs Asynchronous Architecture
Explores the trade-offs between synchronous and asynchronous architecture patterns for backend systems. Synchronous approaches offer simplicity and predictability but can create bottlenecks and tight coupling. Asynchronous patterns using message queues and events provide better scalability and resilience but introduce complexity in debugging, testing, and error handling. The discussion covers common anti-patterns like distributed monoliths, naive background processing approaches, and improper message ordering. Emphasizes that good design matters more than technology choice, and recommends starting with synchronous architecture by default, then adopting async patterns where they provide clear benefits like handling external API failures or traffic spikes.
freeCodeCamp·27wHow to Improve Your Programming Skills by Building Games
Building games teaches essential programming skills that extend beyond game development. Through creating games, developers learn systems thinking, event-driven architecture, performance optimization, and debugging complex states. Games force practical application of math concepts like vectors and trigonometry, while teaching component-based architecture similar to modern frameworks. The hands-on experience with user input handling, reusable code patterns, and creative problem-solving translates directly to building better web applications, backend services, and software systems. Even simple 2D games provide valuable lessons in modular design, UX instincts, and managing code complexity that traditional tutorials rarely offer.
gitconnected·29wHow to Scale Like a Senior Engineer (Servers, DBs, LBs, SPOFs)
Scaling systems is about solving problems incrementally, not jumping to complex solutions. Start with understanding single server limitations, identify bottlenecks (CPU, memory, disk I/O), then make informed decisions about vertical vs horizontal scaling. Database optimization is often the real bottleneck, not application servers. Load balancers require careful algorithm selection and configuration. Even redundant architectures have single points of failure that need identification and mitigation. The key is adding complexity only when necessary and understanding the tradeoffs at each step.
ITNEXT·1yProgramming and architectural paradigms
Different programming paradigms, such as object-oriented, functional, and procedural programming, each have their unique strengths and are suited to particular tasks. These paradigms are also reflected in various distributed system architectures like SOA, microservices, and data mesh. The choice of paradigm and technology depends on specific project requirements and the context in which they're applied.
Medium·1y21 Essential System Design Building Blocks for Software Engineers
System design is crucial for building scalable, efficient, and reliable systems. This post outlines 21 essential components such as CDN, databases, rate limiter, and API Gateway that form the foundation for robust system architecture. It emphasizes the importance of these building blocks in interviews and real-world applications like e-commerce platforms, and recommends resources for further learning.
Tech Lead Digest·21wTraits of a good Tech Lead
Tech Leads are responsible for technical direction across three pillars: architecture (defining decisions, managing technical debt), quality (maintaining standards), and mentorship (enabling team growth). Good Tech Leads use written artifacts like RFCs and PoCs to structure decisions, actively negotiate technical scope with product stakeholders, and establish operating principles that enable autonomous decision-making. They generate team velocity through clarity, reduce ambiguity, and influence without authority. Key anti-patterns include making improvised decisions without documentation, overdesigning solutions, and centralizing knowledge instead of distributing it across the team.
Hacker News·1yPatterns for building realtime features
Realtime features enhance applications by ensuring updates are immediately reflected across users. Various patterns can achieve this, such as Poke/Pull, Push State, Push Ops, and Event Sourcing. Each has its advantages regarding state synchronization, data handling, and scalability. Additionally, different transport mechanisms like websockets, server-sent events, and polling can be used to maintain the client-server connection necessary for these features.
ByteByteGo·1yEP161: A Cheatsheet on REST API Design Best Practices
REST API design involves best practices such as using resource-oriented paths, applying HTTP verbs properly, maintaining API versioning, and utilizing standard error codes. Ensuring APIs are idempotent and supporting pagination can enhance performance and reliability. Security measures like using API Keys, JWTs, OAuth2, and HTTPS are crucial for protecting APIs in production.
Three Dots Labs·1yIs Clean Architecture Overengineering?
Discussing whether Clean Architecture is overengineering or a best practice for organizing code, highlighting its benefits for complex projects and larger teams. Emphasizes separation of concerns for maintainable code, and suggests starting simple and evolving the architecture based on project needs. Related patterns like Hexagonal and Onion Architecture are also mentioned.
Container Solutions·1yWhy I'm No Longer Talking to Architects About Microservices
Microservices discussions are often unproductive due to unclear definitions, abstract conversations disconnected from business goals, and lack of necessary organizational changes. Instead of focusing on microservices as an end, it's crucial to address concrete challenges like faster feature deployment, reducing system coupling, and scaling efficiently. Effective microservices implementation requires cross-functional, autonomous teams and a mature DevOps culture. Organizational change is harder than software change and essential for microservices' success.
