Lessons learned as a Software Engineer: Be flexible and learn design patterns

Lessons learned as a Software Engineer over the years Be flexible. There's this popular term "Programming language wars". It refers to ongoing debates about which programming language is the best. My advice: don't bother your head. I have used different programming languages in my career so far, from Visual Basic.NET to Java to C# to JavaScript to Typescript. Who knows, Go or Rust or Python would be more suitable for future projects I would contribute to. So learn about programming paradigms, Object Oriented Programming (OOP) and Functional Programming (FP) for starters. Understand them. Learn about design patterns in OOP. Know how to apply SOLID principles in OOP. For FP, Pure Functions, Immutability etc. The first interview I had, there were no questions about any programming language I used. I was asked to talk about design patterns. I had lectures about them at the university, but didn't take them seriously. I failed that interview. I was so angry after the interview, I bought Head First Design Patterns by Eric Freeman, Elisabeth Robson, Kathy Sierra, and Bert Bates and consumed it, itching for my next interview to show my next interviewer a lesson. 😄 So be flexible. Solve problems with code. Your future customers want solutions, no wars. hashtag #softwareengineering hashtag #programminglanguages hashtag #oop hashtag #fp hashtag #designpatterns hashtag #TechCareer hashtag #Innovation hashtag #Technology hashtag #agile hashtag #CodingJourney #uptechceo

The 5 Best Programming Languages for 2025: A Data-Driven Career Guide As we approach 2025, I've completed an extensive analysis of the programming landscape to answer one critical question: Which languages offer the best career opportunities, earning potential, and long-term viability? Key Findings: 📊 Python leads in versatility - from AI/ML to web development, with specialists earning $110K-$160K 💻 JavaScript/TypeScript remains indispensable for full-stack development, commanding $100K-$150K 🦀 Rust is revolutionizing systems programming with memory safety guarantees, offering $120K-$180K ☁️ Go (Golang) dominates cloud-native infrastructure, with salaries reaching $110K-$155K 🏢 Java continues its enterprise stronghold, providing stable careers at $95K-$145K What Makes This Analysis Unique: ✓ Conversational comparisons with real code examples ✓ Honest assessment of why languages like PHP, Ruby, and C++ are declining ✓ Strategic recommendations based on career goals ✓ Comprehensive salary benchmarks from multiple sources ✓ 33 verified industry references Strategic Takeaways: • For AI/Data Science → Python • For Web Development → JavaScript/TypeScript • For Systems Programming → Rust • For Cloud Infrastructure → Go • For Enterprise Solutions → Java The article goes beyond surface-level comparisons to provide actionable insights for developers at every career stage. 🔗 Read the complete analysis: https://lnkd.in/gKxjZJmY I'd love to hear your perspective: Which language are you investing in for 2025, and why? #SoftwareEngineering #ProgrammingLanguages #CareerDevelopment #TechIndustry #Python #JavaScript #Rust #Golang #Java #DeveloperCommunity #TechCareers #SoftwareDevelopment #CloudComputing #AI #MachineLearning

Day 114/250 🚀 99% of beginners struggle with this simple merge logic! Today I solved the “Merge Sorted Array” problem — one of the most asked coding interview questions (LeetCode #88). The challenge: 👉 Merge two sorted arrays nums1 and nums2 into a single sorted array, without using extra space. 👉 The twist? You must do it in-place, directly inside nums1. 💭 Most people try merging from the front — and overwrite existing elements! The trick is to start from the end of both arrays and fill from the back. Here’s the logic in simple words: 1️⃣ Keep three pointers — one at the end of valid nums1, one at the end of nums2, and one at the last index of nums1. 2️⃣ Compare the elements and place the larger one at the end. 3️⃣ Move backwards until everything is merged. ✅ Time Complexity: O(m + n) ✅ Space Complexity: O(1) ✅ Language Used: C++ 🔥 Hashtags #Coding #LeetCode #Java #DSA #Programming #100DaysOfCode #SoftwareEngineering #CodeNewbie #TechCareer #InterviewPreparation #LeetCodeChallenge #ProgrammersLife #LearnToCode #DeveloperCommunity #ProblemSolving #LinkedInCoding #ViralPost Would you like me to make it sound a bit more casual and story-style (like something that goes viral among students and developers)?

As a tech student, this post is a golden reminder. 💡 We often learn OOP as just another "topic," but it's truly the backbone of modern software development. The interview questions listed here aren't just trivia; they test your fundamental understanding of how to build good software. From Encapsulation to Polymorphism, and knowing the difference between an Interface and an Abstract Class, these concepts are key. A great checklist for anyone (student or developer) looking to sharpen their skills. What OOP topic are you focusing on this week? #IITMadras #StudentDeveloper #ObjectOrientedProgramming #InterviewPrep #SoftwareEngineering #Java #Python #CPlusPlus

𝗧𝗵𝗲 𝗺𝗼𝘀𝘁 𝘂𝗻𝗱𝗲𝗿𝗿𝗮𝘁𝗲𝗱 𝘀𝗸𝗶𝗹𝗹 𝗲𝘃𝗲𝗿𝘆 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝘀𝗵𝗼𝘂𝗹𝗱 𝗺𝗮𝘀𝘁𝗲𝗿 When I started coding, I thought becoming a great developer meant learning as many languages as possible. Java, Python, JS, C++, Go — the list kept growing. But over time I realized something important: 𝗜𝘁’𝘀 𝗻𝗼𝘁 𝘁𝗵𝗲 𝗻𝘂𝗺𝗯𝗲𝗿 𝗼𝗳 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄. 𝗜𝘁’𝘀 𝗵𝗼𝘄 𝘄𝗲𝗹𝗹 𝘆𝗼𝘂 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀. The best developers I’ve met aren’t the ones who know 10 stacks… They’re the ones who: 🔹 Break complex problems into small parts 🔹 Ask the right questions before coding 🔹 Understand why something is failing, not just where 🔹 Write code that another person can read Once you learn problem-solving, learning a new language becomes just another weekend project. Tech changes fast. But the habit of thinking clearly? 𝗧𝗵𝗮𝘁’𝘀 𝘆𝗼𝘂𝗿 𝗿𝗲𝗮𝗹 𝘀𝘂𝗽𝗲𝗿𝗽𝗼𝘄𝗲𝗿. What’s one skill you think every developer should master — beyond code? 🤔 #softwareengineering #developerlife #problemsolving #programming #learning #techskills