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LEGEND 💫 Dennis Ritchie: Created C. Bjarne Stroustrup: Created C++. Anders Hejlsberg: Created C#. James Gosling: Created Java. Brendan Eich: Created JavaScript. Rasmus Lerdorf: Created PHP. Yukihiro Matsumoto: Created Ruby. Guido van Rossum: Created Python. Larry Wall: Created Perl. These individuals have profoundly shaped the landscape of software development, each contributing a language that is widely used in various domains today. Glocal University (Official) Glocal University - Saharanpur Uttar Pradesh #ProgrammingLanguages #CodeLegends #TechPioneers #SoftwareDevelopment #CodingHeroes #Innovators #TechIcons #CProgramming #JavaScript #Python #Java #Ruby #CPlusPlus #PHPLanguage #CSharp #TechHistory #DeveloperLife #CodeCommunity #OpenSource #ProgrammingMasters

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Join James Titcumb as he shares his experience in surviving and thriving in legacy projects! 💻 Starting a new job can be overwhelming when you dive into a legacy codebase filled with WTFs per minute. In this talk, James will guide you through the process of maintaining and improving legacy code, covering when to refactor, the importance of communication, documentation, testing, and ideas for automated tests. You’ll leave with practical advice to make the best of legacy projects and avoid the common pitfalls! ⚡ Watch Living the best life on a legacy project by James Titcumb 🔗 https://lnkd.in/e4TZYQF3 #developerlife #DPC25 #coding

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IT traineeship: How quickly can I become an AI developer? https://lnkd.in/emBd49aw The time it takes to become an #AI_developer varies depending on several factors, such as your current level of knowledge, the intensity of your #IT_traineeship, your learning capacity and how quickly you pick up new concepts. In general, the learning path of a competent #AI #developer requires a solid foundation in mathematics, statistics, #programming and #MachineLearning.

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Join Sander Hoogendoorn as he shares real-life experiences and practical advice on successfully implementing distributed architectures. Take part in his full-day workshop and gain valuable tips for your own microservices projects! 💡 Learn more about Sander and his #SAGconf workshop: https://lnkd.in/efjGpa4Z #SAG2024 #iSAQB #conference #softwarearchitecture #softwarearchitectureconference #workshop #Microservices #DistributedArchitecture #TechInsights

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💡 𝐂# 𝐓𝐢𝐩 - 𝗔𝘃𝗼𝗶𝗱𝗶𝗻𝗴 𝗠𝗮𝗴𝗶𝗰 𝗡𝘂𝗺𝗯𝗲𝗿𝘀 𝗮𝗻𝗱 𝗦𝘁𝗿𝗶𝗻𝗴𝘀 🔥 𝗠𝗮𝗴𝗶𝗰 𝙣𝙪𝙢𝙗𝙚𝙧𝙨 and 𝙨𝙩𝙧𝙞𝙣𝙜𝙨 are hardcoded, unnamed constants within C# code. Their meanings are often unclear without additional context, which makes the code harder to understand and maintain. Using 𝙢𝙖𝙜𝙞𝙘 𝙣𝙪𝙢𝙗𝙚𝙧𝙨 and 𝙨𝙩𝙧𝙞𝙣𝙜𝙨 can make your code less readable, less maintainable, and more prone to errors. 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗳𝗼𝗿 𝗙𝗶𝘅𝗶𝗻𝗴 𝗠𝗮𝗴𝗶𝗰 𝗡𝘂𝗺𝗯𝗲𝗿𝘀 𝗮𝗻𝗱 𝗦𝘁𝗿𝗶𝗻𝗴𝘀 ✅ Instead of hardcoding values directly, define them as named 𝙘𝙤𝙣𝙨𝙩𝙖𝙣𝙩𝙨. This enhances readability and makes it easier to update values in one place if needed. ✅ Use 𝙀𝙣𝙪𝙢𝙨 that provide a clear, type-safe way to represent discrete values. ❓ What are your thoughts about avoiding 𝙢𝙖𝙜𝙞𝙘 𝙣𝙪𝙢𝙗𝙚𝙧𝙨 and 𝙨𝙩𝙧𝙞𝙣𝙜𝙨? Comment below 👇 ♻️ If this content is useful, 𝙧𝙚𝙥𝙤𝙨𝙩 to spread the knowledge. 👉 Please follow me (Poorna Soysa) and click the notification bell icon (🔔) on my profile to receive notifications for all my upcoming posts. 𝗧𝗵𝗮𝗻𝗸 𝘆𝗼𝘂 𝗳𝗼𝗿 𝗿𝗲𝗮𝗱𝗶𝗻𝗴! #DotNET #CSharp #DotNETDevelopers #Programming #CleanCode

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Join Karim Pinchon as he explores the power of generics in PHP! 🔧 Generics allow you to write flexible, type-safe code without being tied to specific types. While PHP doesn’t natively support generics like Java or Go, the community has found ways to leverage them. In this talk, Karim will show you how and why generics can be beneficial for PHP developers, giving you a deeper understanding of this powerful concept. Don’t miss this chance to learn how to use generics in PHP and enhance your coding practices! 🚀 Watch Generics (in PHP) by Karim Pinchon 🔗 https://lnkd.in/e3C-J4XM #DPC25 #php #generics #programmingconcepts #softwaredevelopment #codetips #developerlife #phpdevelopment

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Misconceptions about CSS Specificity – Bram.us https://buff.ly/3WLoCki Whenever a post about Specificity in CSS – and by extension the Cascade itself – gets published I get very excited as it’s a core concept of the language that everyone should know. The more articles on this, the better! However, I also sometimes raise one of my eyebrows as sometimes I, unfortunately, encounter something that’s just outright wrong.To remove some of the confusion, here’s a list of misconceptions about Specificity in CSS … Source: Misconceptions about CSS Specificity – Bram.us ()

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Sharing some thoughts with you about using Kafka over RabbitMQ or the other way around. But I wanted to use the time to tell you that they are not replacing each other. 💡 Kafka vs. RabbitMQ: Choosing the Right Message Broker 💡 When building distributed systems, message brokers play a crucial role in managing communication between services. Two of the most popular options—Apache Kafka and RabbitMQ—often spark debate. Here’s a quick breakdown to help you decide: 📌 Apache Kafka • Purpose: Designed for high-throughput, real-time event streaming. • Architecture: Pub-Sub model with distributed, partitioned logs. • Use Cases: Event-driven architectures, data pipelines, analytics, real-time monitoring. • Strengths: • Handles massive amounts of data. • Built for fault-tolerant, distributed systems. • Message persistence ensures durability and replayability. • Challenges: • Steeper learning curve. • Not ideal for low-latency, point-to-point messaging. 📌 RabbitMQ • Purpose: General-purpose message broker for reliable message delivery. • Architecture: Queue-based model with support for Pub-Sub, Work Queues, and RPC. • Use Cases: Request-response patterns, task queues, asynchronous communication. • Strengths: • Lightweight and easier to set up. • Supports complex routing and priority queues. • Reliable for small-to-medium message volumes. • Challenges: • Limited scalability compared to Kafka. • No built-in support for message replay. 🚀 How to Choose? • Choose Kafka if you need high-throughput, distributed event streaming for data pipelines or analytics. • Choose RabbitMQ if your focus is reliable, low-latency message delivery or task scheduling. Both are powerful tools, but understanding their strengths helps you make the right call for your architecture. What’s your go-to choice for message brokering? Let’s discuss in the comments! #Kafka #RabbitMQ #DistributedSystems #MessageBroker

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In the talk TDD & Generative AI: A Perfect Pairing?, Bouke Nijhuis will explore whether generative AI can create production-ready code simply by using pre-written test cases. With live coding, Bouke will demonstrate how this combination of Test-Driven Development (TDD) and AI could revolutionize your development process and make code creation more efficient. Join us to learn how you can apply this exciting technique to your own projects! https://buff.ly/41qPR62 #Jfokus2025 #AI #GenerativeAI #TDD #LiveCoding #DevParadigms

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If you write software in .NET and build distributed applications, then you should definitely try .NET Aspire. This framework makes it so easy to develop and debug distributed apps. Nothing else comes even close. We used it in our project at Microsoft. Things have become so much easier since we adopted it. So, if you haven't tried it already, you should definitely have a go. You won't regret it 🙂

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Join Andreas Heigl as he tackles the challenges of working with time in your code! ⏰ Creating current time information might seem easy with time() or new DateTimeImmutable(), but it can make your code difficult to test. In this session, Andreas will show you how the new PSR-20 standard makes generating current time information both easy and testable, while providing background on the design choices behind it. Don’t miss this deep dive into improving your code with smarter time handling! 🧠 Watch "Watch the clock" by Andreas Heigl here: https://lnkd.in/euTuEKiF #DPC25 #coding #PSR20

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🔭 Spring Boot 3.3: Top 7 Observability Enhancements, by Simon Verhoeven. Spring Boot 3.3 is releasing today! Once again, it contains a lot of useful observability changes and improvements. Observability was a key focus for the Spring team in this release, with enhancements in: 🔹Rabbit 🔹Jersey 🔹Micrometer 🔹OpenTelemetry 🔹Brave 🔹Zipkin 🔹Prometheus Read more: https://lnkd.in/ddHsQRJJ #opentelemetry #observabiliy #springboot3 #springboot #continuousfeedback

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How fast can you parse a file with 1 billion rows of weather data using Java? Explore parallelism, SWAR techniques, Graal native compilation, and more to go from 4 minutes to under 2 seconds! Roy van Rijn answered Gunnar Morling's challenge and here are the results. https://lnkd.in/dNhun2gR

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Are you still translating your angular applications manually? AI translates entire applications for me👇 Think about how much money and time you can save with this. https://lnkd.in/dMmvgHUq

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