Best of Medium — 2025

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    Authentication Explained: When to Use Basic, Bearer, OAuth2, JWT & SSO

    Authorization controls what users can do after authentication through three main models: RBAC assigns permissions to roles, ABAC uses attributes and context for fine-grained control, and ACL attaches permissions to individual resources. Real applications like GitHub and Stripe often combine these models. OAuth2 enables delegated authorization without sharing credentials, while JWTs and bearer tokens carry user identity and permissions across systems. The key is choosing the right combination of models and mechanisms based on your application's complexity and security requirements.

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    Mastering n8n: Step-by-Step Beginner’s Guide

    A comprehensive beginner's guide to n8n, a visual automation platform that connects apps and automates workflows without coding. Covers setup options (cloud vs self-hosted), understanding the workflow canvas, five types of nodes (trigger, action, logic, code, AI agent), testing and debugging strategies, and building modular systems. Introduces agentic workflows that can reason through context and adapt to changing conditions, with practical examples for social media automation, sales research, data analysis, and personal AI assistants.

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    The Most Underrated Tool in Engineering

    Effective communication is key to successful software projects. Visual tools like Mermaid can enhance clarity and understanding among team members, reducing complexity and improving efficiency. Mermaid is an open-source, easy-to-use diagramming tool that helps illustrate processes, system interactions, and logical structures through different types of diagrams. These visuals can aid in spotting issues early, facilitating code generation with AI, and ensuring everyone is on the same page.

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    10 System Design Concepts You Must Master Before Your Next SDE Interview (with Resources)

    Preparing for system design interviews, especially for roles at big tech companies, requires mastering key concepts like web fundamentals, core components of large-scale systems, databases, caching, messaging and queuing systems, system communication, scalability, security, high availability, and fault tolerance. Practical knowledge and examples, such as designing an event notification system or Netflix architecture, are also crucial. Detailed resources and guides are recommended for in-depth understanding and effective preparation.

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    Vue is Too Easy

    Vue is renowned for its simplicity and powerful capabilities. It features an easy learning curve, versatile components, efficient state management with tools like Pinia, and comprehensive support for routing and animations. It also integrates well with TypeScript and encourages good practices in unit testing.

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    Is Golang the new Python Killer for AI?

    Golang, known for its simplicity and efficiency, is emerging as a strong contender for machine learning despite Python's current dominance. Key features of Go include high performance, concurrency, static typing, and scalability. While its ecosystem of ML libraries is still growing, Go is particularly advantageous for high-throughput prediction serving, large-scale data preprocessing, and resource-constrained environments. Notable Go ML libraries include Gorgonia, GoLearn, GoMind, GoCV, and Gonum. Go offers compelling advantages for specific use cases, making it worth considering for future ML projects.

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    How to Build Production Ready AI Agents in 5 Steps

    A comprehensive 5-step guide for building production-ready AI agents, covering Python foundations with FastAPI and async programming, implementing robust testing and logging, mastering RAG for knowledge retrieval, designing scalable agent architectures with frameworks like LangGraph, and establishing continuous monitoring and improvement processes. The guide emphasizes moving beyond prototype demos to create reliable, maintainable systems that can handle real-world production environments.

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    21 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.

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    7 AI Apps That Are a Must-Have in 2025

    In 2025, several AI apps can significantly boost productivity and efficiency across various tasks. These include HoldSpeak for fast voice-to-text, Vidnoz for creating AI videos quickly, StealthGPT for generating human-like content, Gumloop for workflow automation, Buildpad for product development guidance, Feyman AI for enhancing learning and memorization, and Another Wrapper for building custom AI apps effortlessly.

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    14 logic-driven UI design tips to improve any interface

    A comprehensive guide presenting 14 practical UI design principles based on logic rather than intuition. Covers essential topics including proper spacing using 8-point grids, WCAG accessibility contrast ratios (3:1 for UI elements, 4.5:1 for text), button hierarchy and target sizes, typography best practices, and visual consistency. Demonstrates these principles by transforming a poorly designed profile page interface, addressing issues like inadequate contrast, confusing navigation, poor spacing, and accessibility problems. Emphasizes that good UI design follows structured guidelines rather than artistic instinct.

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    Building a TikTok-like recommender

    A comprehensive guide on building a TikTok-like real-time personalized recommender system, detailing the architecture, including the 4-stage recommender model, and the two-tower neural network design. It uses an H&M retail dataset for practical application, teaches feature engineering, model training, and serving using the Hopsworks AI Lakehouse. The post is part of an open-source course focused on deploying scalable recommenders.

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    Duolingo Just Ended The Term “UX Design”

    Duolingo has announced a shift from using the term UX design to PX (Product Experience) design, reflecting their product-focused approach. This change has sparked varied responses from the design community, with some seeing it as a smart move and others considering it a marketing strategy. The evolution of design terminology continues with concepts like Developer Experience (DX) and Agent Experience (AX) also emerging. Despite the evolving terms, the core principles of UX and UI design remain vital.

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    Software Architecture for Developers

    Software architecture involves more than layers and patterns; it's about systems thinking, where architecture is seen as a dynamic, interconnected system. This approach emphasizes fluidity, adaptability, and the role of each developer in shaping the system. Different developers - from junior to senior, including frontend, backend, and platform engineers - benefit from understanding architecture through interactions, message moderation, and bindable components. This shift leads to clearer data flows, greater autonomy, and a more collaborative, resilient system.

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    🚀 Start Learning System Design Easily with 30 Core Concepts

    System design is crucial for backend and full-stack engineering but can be intimidating for beginners. This guide simplifies the subject with 30 core concepts, each explained with concise definitions. Topics covered include client-server architecture, DNS, APIs, databases, scaling, load balancing, and more. This foundational knowledge is ideal for interview prep and practical application in system design.

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    OOP vs. Functional is Dead

    Modern programming language classifications based on paradigms like functional or object-oriented are becoming less useful as languages increasingly blend multiple paradigms. Instead, classifying languages by their memory management approach offers a more practical framework. Languages can be categorized as Sovereign (manual memory management), Guardian (ownership/RAII), Custodian (garbage collection), or Accountant (automatic reference counting). This classification impacts performance, safety, and developer experience, providing clearer insights when selecting a language for a specific application domain.

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    How I Built a Local MCP Server to Connect Obsidian with AI

    The post details the process of building a custom MCP server to connect personal knowledge bases in Obsidian with AI tools, enabling enhanced, context-aware assistance. It discusses the motivation behind the project, the use of Claude Desktop, and the implementation of the server using Python and FastMCP. The post highlights the ability of AI models to perform tasks like identifying incomplete notes and generating questions from existing content. Emphasizing security and control, it provides insights on integrating local AI resources and suggests future steps for independence from external providers.

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    How Kafka Saved Our Payment System And Helped Us Scale to 10 Million Users

    A payment system was failing due to synchronous processing of multiple tasks (email, notifications, logging) in a single thread, causing delays and duplicate charges. The team implemented Kafka as a message broker to decouple services through event-driven architecture. After a payment succeeds, the system publishes a single event to Kafka, allowing independent services to consume and process it asynchronously. This approach eliminated blocking operations, improved response times, reduced support tickets, and enabled the system to scale to 10 million users while maintaining reliability and making it easier to add new features.

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    The Best Software I’ve Ever Used Was Written by One Person

    Solo developers create superior software because they maintain complete creative control and focus on solving specific problems rather than pleasing committees or investors. One-person projects feel more coherent and deliberate, with every feature earning its place through ruthless prioritization. While these tools risk disappearing when their creators move on, they offer an intimate user experience and resist the bloat that comes from corporate growth strategies. The author argues these projects represent acts of resistance against extraction-focused software design, providing focused tools that prioritize user needs over monetization.

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    Why We Replaced Kafka with gRPC for Service Communication

    A development team replaced Kafka with gRPC for synchronous service communication in their loan servicing platform after experiencing issues with debugging, latency, and operational complexity. While keeping Kafka for appropriate use cases like audit logs and fan-out patterns, they found gRPC provided better performance (70-80% latency reduction), easier debugging, and simpler infrastructure management for request-response interactions. The key lesson was using each tool for its intended purpose rather than forcing one solution everywhere.

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    How server actually works?

    NGINX serves as a powerful web server and reverse proxy that handles three critical functions: load balancing (distributing traffic across multiple servers using methods like round robin and least connections), caching (storing frequently requested content for faster delivery), and security (encrypting communications and hiding backend infrastructure). The article explains how these features work together to keep websites fast and reliable, using real-world analogies like restaurant kitchens and nightclub bouncers to make complex concepts accessible to beginners.

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    5 Hidden Laravel Features That Will Instantly Clean Up Your Code

    Laravel offers several underutilized features that can significantly improve code quality and readability. Key features include @forelse for handling empty collections in Blade templates, when() method for conditional query building, sortByDesc() for collection sorting, isEmpty() for cleaner empty checks, and whereRelation() for simplified relationship filtering in Laravel 9+. These methods replace verbose conditional statements and make code more expressive and maintainable.

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    Open-Source Tools for Agents

    Developing AI agents can be challenging with many outdated or overly complex tools. This post offers a curated list of effective open-source libraries for building robust AI agents in various tasks such as document parsing, voice interaction, and automation. Focus on choosing practical and well-maintained tools to streamline your development process.

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    Building a modern Data Warehouse from scratch

    Learn how to build a modern data warehouse using SQL Server. The project guides you through designing data architecture with Medallion Architecture, setting up ETL pipelines, developing data models, and creating data analytics and reporting solutions. Key steps include setting up project tools, implementing data quality checks, and creating bronze, silver, and gold layers for data processing and hierarchy. Resources and detailed instructions are provided for each phase.

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    50 TypeScript F*ck Ups (I’ve Made So You Don’t Have To)

    A comprehensive guide covering 50 common TypeScript mistakes and anti-patterns, from basic misuses like relying on 'any' and ignoring strict mode, to advanced pitfalls with generics, async operations, and type system features. Each mistake includes practical examples and actionable solutions, emphasizing proper use of type guards, utility types, discriminated unions, and runtime validation. The guide stresses that TypeScript is a modeling tool requiring deliberate type design, not just a stricter linter.

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    Build Your First Agent in 5 Days

    A practical 5-day guide for building AI agents from scratch, covering essential tools like OpenAI GPTs, n8n for automation, CrewAI for multi-agent systems, Cursor for AI-powered coding, and Streamlit for user interfaces. The guide provides a structured approach with a reusable recipe framework breaking agents into brain, tools, orchestration, interface, and hosting components, plus a complete Python code example for a basic agent implementation.

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