𝗥𝘂𝗯𝘆’𝘀 𝗠𝗼𝗱𝘂𝗹𝗲𝘀: 𝗔 𝗗𝗲𝗲𝗽 𝗗𝗶𝘃𝗲 𝗕𝗲𝘆𝗼𝗻𝗱 𝘁𝗵𝗲 𝗕𝗮𝘀𝗶𝗰𝘀 𝗧𝗵𝗮𝘁 𝗧𝗿𝗶𝗽𝗽𝗲𝗱 𝗠𝗲 𝗨𝗽! I recently wrote about something that confused me for a long time in Ruby — Modules. We often 𝘵𝘩𝘪𝘯𝘬 we understand them... but when • extend • include • visibility (public, protected, private) come into play — things can quickly get tricky🌀. In my latest Medium post, I’ve broken down example code to clearly explain • What Modules really are in Ruby • How 𝘮𝘰𝘥𝘶𝘭𝘦_𝘧𝘶𝘯𝘤𝘵𝘪𝘰𝘯 works inside a module • 𝘪𝘯𝘤𝘭𝘶𝘥𝘦 vs. 𝘦𝘹𝘵𝘦𝘯𝘥 - The Core of Mixins • How 𝘈𝘤𝘤𝘦𝘴𝘴 𝘔𝘰𝘥𝘪𝘧𝘪𝘦𝘳𝘴 behave with nested classes • And how 𝘮𝘰𝘥𝘶𝘭𝘦 𝘤𝘭𝘢𝘴𝘴 𝘮𝘦𝘵𝘩𝘰𝘥𝘴 are actually 𝘤𝘢𝘭𝘭𝘦𝘥 If you’ve ever been unsure about where self points or 𝘩𝘰𝘸 𝘮𝘦𝘵𝘩𝘰𝘥𝘴 𝘨𝘦𝘵 𝘴𝘩𝘢𝘳𝘦𝘥 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘮𝘰𝘥𝘶𝘭𝘦𝘴 𝘢𝘯𝘥 𝘤𝘭𝘢𝘴𝘴𝘦𝘴 and above mentioned concepts, you’ll find attached medium post link useful 👇 https://lnkd.in/dRhd2vy5 💬 I’d love to hear from you: 1. 🤔 Have Ruby modules ever confused you? 2. 💡 How do you explain them to juniors or teammates? Drop your thoughts below 👇: and if you have anything to add, I’d love to learn from your perspective too! #Ruby #Programming #SoftwareDevelopment #Coding #Learning
Understanding Ruby Modules: A Deep Dive
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This one LeetCode problem taught me more about discipline than syntax..!! Today’s focus: LeetCode 221 — Maximal Square A neat little problem that blends dynamic programming and pattern recognition beautifully. Each time I solve one of these, it’s less about getting the “Accepted” and more about strengthening how I think through problems. A step by step, logically and creatively. As developers, we spend a lot of time debugging, optimizing, and refactoring, but it’s these small daily problem-solving habits that keep our logical muscles in shape. #Java #LeetCode #CodingJourney #ProblemSolving #SoftwareEngineering #LearningMindset
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“If you can code in one language, you can code in any language.” I’ve heard this many times — usually from well-intentioned managers or confident developers. Yes, programming concepts transfer easily. Logic is logic. But fluency — the ability to write idiomatic, maintainable, production-ready code — takes time. Each language has its own paradigms, libraries, and community norms. Knowing Python doesn’t mean you’ll instantly write clean Go, safe Rust, or elegant TypeScript. And here’s the hidden cost: When developers are pushed into a new language without time to properly learn it, they still deliver — but the code often just “works” rather than fits. That mismatch quietly builds technical debt that future teams pay for. What’s the ask here? Give developers the time to learn properly — or plan for the cost of rework later.
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This is exactly why some Go codebases look like a blatant copy of an equivalent Java codebase. Same thing happens when some Python devs jump into Rust and try to write everything with dynamic-style patterns, or when some JavaScript devs land in TypeScript and treat types as an afterthought instead of a core tool. You’ll ship either way. But one version reads like how the language was meant to be spoken. The other reads like someone shouting in their native tongue while wearing the new language as an ill-fitting costume. The truth is, every programming language has design principles that should influence the general look and feel of the codebase. When you follow them properly, the code doesn’t feel like you’re fighting the language. It just flows. Fluency isn’t free. Give people the runway to actually learn the language or budget the time to refactor the debt later. There’s no third option that doesn’t hurt. In the end, it’s more than just syntax.
Tech Leader | Former CEO | Cloud Architect | Product Strategist Architecting the systems that make great engineering teams possible
“If you can code in one language, you can code in any language.” I’ve heard this many times — usually from well-intentioned managers or confident developers. Yes, programming concepts transfer easily. Logic is logic. But fluency — the ability to write idiomatic, maintainable, production-ready code — takes time. Each language has its own paradigms, libraries, and community norms. Knowing Python doesn’t mean you’ll instantly write clean Go, safe Rust, or elegant TypeScript. And here’s the hidden cost: When developers are pushed into a new language without time to properly learn it, they still deliver — but the code often just “works” rather than fits. That mismatch quietly builds technical debt that future teams pay for. What’s the ask here? Give developers the time to learn properly — or plan for the cost of rework later.
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𝗪𝗵𝗲𝗻 𝗜 𝘀𝘁𝗮𝗿𝘁𝗲𝗱 𝗰𝗼𝗱𝗶𝗻𝗴, 𝗜 𝘁𝗵𝗼𝘂𝗴𝗵𝘁 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝘄𝗮𝘀 𝗷𝘂𝘀𝘁 𝗮𝗯𝗼𝘂𝘁 𝗔𝗣𝗜𝘀 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀. 𝗧𝘂𝗿𝗻𝘀 𝗼𝘂𝘁, 𝗶𝘁’𝘀 𝘀𝗼 𝗺𝘂𝗰𝗵 𝗺𝗼𝗿𝗲 When I got into backend development, all I wanted was to make things work. I didn’t really think about design patterns or scalability, I just wanted my code to run without errors. But the more I worked on real projects, the more I understood how much happens behind the scenes. Backend isn’t just about writing endpoints; it’s about building systems that stay reliable even when things get messy. That’s what made me enjoy it so much. I’ve spent hours debugging weird bugs, trying random fixes, and feeling that small victory when everything finally works 😅. And honestly, the best debugging trick I’ve learned is still using simple 𝗽𝗿𝗶𝗻𝘁 𝘀𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁𝘀 (🫣) they never fail me. Some things I’ve picked up along the way: 1.Debugging really teaches patience. 2.Building APIs is also about communicating clearly : with systems and people. 3.Small changes can make a big difference. I’m still learning new things every day, and that’s what keeps it fun. If you’re just getting started like me, all the best, we’re all learning one print statement at a time 😄 #BackendDevelopment #Python #FastAPI #LearningInPublic #TechJourney
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🚀 Boosting Productivity with QuickRef.ME As developers, we constantly switch between languages, tools, and frameworks and sometimes a quick refresher saves a lot of time. Recently, I started using QuickRef.ME, and it's been a game-changer for fast references and cheat-sheets. From Bash, Python, JavaScript, RegEx, Docker, Git, to keyboard shortcuts and tooling like VS Code, Postman & Kubernetes... it's all in one place! ✅ Saves time ✅ Easy to navigate ✅ Covers tons of tools & languages ✅ Perfect for quick lookup while coding If you haven't checked it yet, I highly recommend giving it a try! 👨💻✨ https://quickref.me/ #developerTools #productivity #coding #programming #learning #webdevelopment #softwareengineering #QuickRef
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🧹 Code Linting & Formatting, Because consistency beats cleverness. Every developer has their style, indentation, naming, commas, quotes…But when you’re in a team, code style disagreements can turn into silent wars. 😅 That’s where linters and formatters come in ensuring your codebase speaks one consistent language. Here’s why they matter 👇 ✅ Consistency Across Teams: Every file looks and feels the same, no matter who wrote it. ⚙️ Fewer Code Review Debates: PRs focus on logic and structure, not tabs vs spaces. 🚀 Faster Development: Automatic formatting saves time and mental load because one less decision to make. 🧠 Early Error Detection: Linters catch potential issues before your code even runs. Popular Tools: JavaScript / TypeScript → ESLint + Prettier Python → Flake8, Black Java → Checkstyle, SpotBugs Go → gofmt (built-in perfection 😉) 💡 Pro Tip: Automate linting & formatting in your pre-commit hooks (Husky, pre-commit, etc.) Because clean code should be automatic, not optional. At Veyon Lab, we treat code formatting as hygiene, not style because clarity today prevents chaos tomorrow. #CleanCode #SoftwareEngineering #CodeQuality #VeyonLab #DeveloperTools #Programming
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🚀 Day-65 of #100DaysOfCodeChallenge Today’s problem: 2011. Final Value of Variable After Performing Operations (LeetCode - Easy) This problem was a great reminder that even simple-looking tasks can strengthen our logical reasoning and problem-solving mindset. 🧩 Problem Summary: We’re given a list of operations (++X, X++, --X, X--) that either increment or decrement a variable X. The variable starts at 0, and we need to find its final value after performing all operations on LeetCode. It sounds straightforward — but the beauty of such problems lies in their simplicity. They teach us to: Pay attention to small details. Write clean, efficient logic. Think systematically about every operation in a sequence. 💡 My Approach: I used a simple Java loop to traverse through each operation: If the operation contains '+', increment the value. If it contains '-', decrement it. It’s a one-pass solution — both time and space efficient. ⚙️ Language: Java ⚡ Runtime: 1 ms (Beats 74.53%) 💾 Memory: 42.28 MB (Beats 99.47%) ✅ Status: Accepted (259 / 259 test cases passed) Every solved problem adds one more brick to the wall of consistency and confidence. It’s not just about solving — it’s about understanding, improving, and building the habit of learning every single day. 🔹 Small progress, done daily, creates massive results over time. Onward to Day 66 💪 #100DaysOfCode #LeetCode #CodingJourney #Java #ProblemSolving #TechLearning #DeveloperLife #Consistency #LearningEveryday #ChallengeYourself
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