--- title: Best Medium posts — June 2025 | daily.dev description: The most upvoted Medium posts from June 2025, curated by the daily.dev community. canonical: https://daily.dev/sources/medium_js/best-of/2025/06 twitter:card: summary_large_image twitter:site: @dailydotdev og:url: https://daily.dev/sources/medium_js/best-of/2025/06 og:type: website og:site_name: daily.dev og:title: Best Medium posts — June 2025 | daily.dev og:description: The most upvoted Medium posts from June 2025, curated by the daily.dev community. og:image: https://media.daily.dev/image/upload/s--VAY5ToZt--/f_auto/v1724209435/public/daily.dev%20-%20open%20graph --- # Best of Medium — June 2025 1. 1 [](https://daily.dev/posts/how-to-build-production-ready-ai-agents-in-5-steps-ciczxx7d0 "How to Build Production Ready AI Agents in 5 Steps") Article Medium · 1y 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. 277 5 2. 2 [](https://daily.dev/posts/14-logic-driven-ui-design-tips-to-improve-any-interface-zgcm5q85j "14 logic-driven UI design tips to improve any interface") Article Medium · 1y 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. 253 9 3. 3 [](https://daily.dev/posts/how-kafka-saved-our-payment-system-and-helped-us-scale-to-10-million-users-f9fremmqr "How Kafka Saved Our Payment System And Helped Us Scale to 10 Million Users") Article Medium · 1y 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. 143 5 4. 4 [](https://daily.dev/posts/why-we-replaced-kafka-with-grpc-for-service-communication-bvsddrxm7 "Why We Replaced Kafka with gRPC for Service Communication") Article Medium · 1y 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. 135 7 5. 5 [](https://daily.dev/posts/how-server-actually-works--bbichymbv "How server actually works?") Article Medium · 1y 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. 131 3 6. 6 [](https://daily.dev/posts/5-hidden-laravel-features-that-will-instantly-clean-up-your-code-8vzvp6nlf "5 Hidden Laravel Features That Will Instantly Clean Up Your Code") Article Medium · 1y 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. 132 4 7. 7 [](https://daily.dev/posts/the-5-most-surprising-ingenious-data-structures-and-what-they-actually-do-wt4v7ihqd "The 5 Most Surprising, Ingenious Data Structures and What They Actually Do") Article Medium · 1y The 5 Most Surprising, Ingenious Data Structures and What They Actually Do Explores five advanced data structures that solve complex problems beyond basic arrays and lists: B-Trees for efficient database storage with shallow depth, Radix Trees for fast prefix-based lookups in routing, Ropes for efficient text editing in large documents, Bloom Filters for probabilistic membership testing at scale, and Cuckoo Hashing for constant-time operations using eviction strategies. Each structure addresses specific performance challenges in real-world systems. 89 1 8. 8 [](https://daily.dev/posts/top-ui-ux-design-trends-to-watch-in-2025-haur9qmpz "Top UI/UX design trends to watch in 2025") Article Medium · 1y Top UI/UX design trends to watch in 2025 UI/UX design in 2025 focuses on intelligent design systems with AI-assisted components, meaningful microinteractions, and subtle personalization. Key trends include voice UI integration, accessibility as a foundation rather than afterthought, smarter Figma workflows, motion design integration, trust-building interfaces, and adaptive UI that responds to user environment. The emphasis shifts from following trends blindly to understanding user needs and creating purposeful, accessible experiences. 87 3 9. 9 [](https://daily.dev/posts/level-up-your-laravel-forms-with-these-5-validation-tricks-ytnsc1yzw "Level Up Your Laravel Forms with These 5 Validation Tricks") Article Medium · 1y Level Up Your Laravel Forms with These 5 Validation Tricks Laravel offers advanced validation techniques beyond basic rules like 'required' and 'email'. Five key methods include Rule::when() for conditional validation, bail to stop at first failure, asterisk notation for dynamic array validation, sometimes for optional field validation, and validated() method to safely retrieve only validated data instead of all input. 52 1 10. 10 [](https://daily.dev/posts/laravel-under-pressure-high-traffic-optimization-with-cache-queue-session-tactics-x2gp5ntcp "Laravel Under Pressure: High-Traffic Optimization with Cache, Queue & Session Tactics") Article Medium · 1y Laravel Under Pressure: High-Traffic Optimization with Cache, Queue & Session Tactics Laravel applications can handle high traffic effectively when properly configured. Key optimizations include switching from file-based to Redis caching, using proper queue drivers instead of database queues, implementing route/config/view caching, managing sessions with Redis, and ensuring stateless architecture for horizontal scaling. The guide covers practical tactics like eager loading to prevent N+1 queries, batch job processing, rate limiting, and proper monitoring tools for production environments. 39 1 11. 11 [](https://daily.dev/posts/10-libraries-for-django-projects-2osdjztm0 "10 Libraries for Django projects") Article Medium · 1y 10 Libraries for Django projects A curated list of 10 modern Python libraries that enhance Django development, including Python Dotenv for environment management, Django Ninja as an alternative to DRF, Pydantic for form validation, Python Social Auth for authentication, Pika for message queuing, HTMX for reactive frontends, Django Templates Partial and Django Cotton for better templating, Faker for test data generation, and Python Systemd for logging. The author emphasizes choosing more Pythonic libraries over traditional Django-specific solutions. 38 1 12. 12 [](https://daily.dev/posts/i-launched-a-side-hustle-with-ai-this-weekend-mrltimxjx "I Launched a Side Hustle With AI This Weekend") Article Medium · 1y I Launched a Side Hustle With AI This Weekend A step-by-step guide showing how to launch an AI-powered side hustle over a weekend using only ChatGPT and free tools. The process covers finding profitable digital product ideas in the diet niche, creating compelling offers and lead magnets, generating viral social media content, and implementing effective call-to-action strategies. The author shares their practical experience launching on Instagram with 78 followers and highlights what worked best: quality lead magnets, strategic CTA placement, and comprehensive content creation. 34 6 13. 13 [](https://daily.dev/posts/the-art-of-doing-everything-all-at-once-in-python-hence-multithreading--sh1ukum59 "The Art of Doing Everything All at Once in Python! Hence, Multithreading.") Article Medium · 1y The Art of Doing Everything All at Once in Python! Hence, Multithreading. Python's map(), filter(), and reduce() functions provide functional programming alternatives to traditional loops for data transformation and filtering. Multithreading enables concurrent execution of tasks, particularly useful for I/O-bound operations, though Python's Global Interpreter Lock (GIL) limits true parallelism for CPU-intensive tasks. Thread synchronization using locks prevents race conditions when multiple threads access shared resources. 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