Rust Design Decisions: Understanding the Language's Core Abstractions

‼️𝗧𝗵𝗲 𝗕𝗶𝗴𝗴𝗲𝘀𝘁 𝗠𝗶𝘀𝘁𝗮𝗸𝗲 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿 𝗖𝗼𝗱𝗲𝗿𝘀 𝗠𝗮𝗸𝗲, When I started learning coding, I thought trying multiple languages would make me better. Python one day, HTML the next, then CSS, then something else. It felt productive. It felt like progress. But in reality, I was just confusing myself. 🤔𝗪𝗵𝗮𝘁 𝗜 𝗥𝗲𝗮𝗹𝗶𝘇𝗲𝗱: Jumping between languages doesn’t make you a developer. It makes you someone who knows a little about everything and masters nothing. I was unknowingly developing a translator mindset instead of actually understanding how to build things. ✅𝗪𝗵𝗮𝘁 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗪𝗼𝗿𝗸𝘀 Pick one language. Go deep. Build small projects. Stay consistent. That’s where real growth begins. I made a short video explaining this mistake and how to fix it. If you are starting your coding journey, this might save you a lot of time. 🎥🌐Watch here: youtu.be/d2J1m-MgkWc 🫵𝗪𝗵𝗮𝘁 𝗮𝗯𝗼𝘂𝘁 𝘆𝗼𝘂: Are you focusing on one language or jumping between many #coding #programming #learncoding #developer #beginners #python #webdevelopment #techtips YouTube

"Vibe coding" is completely changing how we build software—so I decided to put it to the test. I just launched DOMDOJO, a fully interactive coding quiz platform, and I built the entire thing using vibe coding (guiding AI with natural language rather than typing every line of syntax myself). Focusing on the high-level logic and user experience allowed me to ship a massive platform much faster than traditional coding. Here is what DOMDOJO actually does: It’s an interactive platform built to help developers master their skills through active recall and challenges. 🔹 750+ Curated Questions across 15 programming languages (Python, React, JS, SQL, and more). 🔹 Custom Quizzes: Filter by difficulty (Easy to Hard), set question limits, and add timers to simulate real exam conditions. 🔹 Live Python Compiler: Solve actual coding problems and run them against test cases right in the browser. 🔹 Analytics: Instant visual feedback and local progress tracking so you can see your improvement over time. If you are learning a new language or prepping for an interview, stop passively reading and start testing yourself. Check it out here: https://lnkd.in/g8TZgtqY I'd love to hear your thoughts on the platform (or your thoughts on the future of vibe coding!). #VibeCoding #WebDevelopment #Coding #AI #EdTech #JavaScript #Python

Day 22 of my Coding Journey 🚀 Consistency is slowly turning into confidence—and I can clearly feel my thinking becoming more structured every day 🔥 Each step is strengthening my foundation for bigger goals ahead. 💡 What I worked on today: • Practiced aptitude problems on averages • Solved problems involving lists and strings • Focused on comparing and analyzing list and string elements • Improved logical thinking through hands-on exercises ⚡ Today’s focus: Applying logical thinking to solve aptitude-based problems and strengthening my understanding of how lists and strings can be compared and used effectively. Prioritizing clarity before coding continues to make a real difference. 🏆 Progress check: I’m improving not just in coding, but also in how I approach problems—with more patience, structure, and confidence 🙌 📈 Noticing steady growth in logical reasoning and problem-solving skills. ✨ Key Takeaway: Strong fundamentals + consistent practice = long-term growth. #codingchallengeapril2026 #nxtwaveintensive #codingchallenge #python

🚀 Day 32 of My Coding Journey — Mastering Binary Search Today I solved the classic Binary Search problem (LeetCode 704), and it reinforced one important concept: 👉 Divide and conquer can turn O(n) problems into O(log n). 💡 What I practiced today: Iterative Binary Search (most optimal & commonly used) Recursive Binary Search (clean logic, but uses stack space) 🔍 Key Learning: Instead of scanning the whole array, we eliminate half of the search space in every step. That’s why Binary Search is extremely powerful for sorted data. 📌 Approach (Recursive): Find mid index Compare with target If smaller → search right half If larger → search left half Stop when low > high ⚡ Time Complexity: O(log n) ⚡ Space Complexity: Iterative → O(1) Recursive → O(log n) (due to call stack) 💭 My Takeaway: Binary Search looks simple, but mastering edge cases (like overflow in mid, base conditions) is what actually matters in interviews. 📈 Slowly building strong fundamentals for problem solving and technical interviews. #Day32 #DSA #BinarySearch #CodingJourney #LeetCode #ProblemSolving #TechLearning

Some people treat tech like a race. I’ve started treating it like a mirror. Here are a few things I’ve noticed while learning to code: - You can finish a 10‑hour course and still freeze on a 20‑line project. - The person who quietly reads documentation often moves faster than the one who talks about how many languages they “know.” - 90% of “being good” is just not quitting when the 5th error appears on the same line. Tech looks like it’s only about tools and frameworks, but most days it feels like you’re debugging your own thinking. You see how you react when things break, how patient you are when nothing works, and how honest you are about gaps in your understanding. Somewhere between broken builds and tiny wins, you stop chasing the image of a “perfect developer” and start respecting the version of you that shows up, experiments and learns in public. Maybe the real measure of progress in tech is not how many buzzwords you can list, but how many times you’re willing to open the editor again after it went wrong yesterday. What has your tech journey quietly taught you so far? #TechThoughts #WomenInTech #Python #WebDevelopment #LearningInPublic #StudentToDeveloper #CareerGrowth

There have been many instances when I’ve had to implement code or an algorithm to solve a problem. As a result, I’d spend a lot of time understanding the problem, breaking it down into subproblems, and, with my growing knowledge of Python, visualising data structures and other components to complete the task. However, it is relatively easy to get through the design stage of software development because it involves less code and more brainstorming. At this stage, you develop ideas or methods you believe will solve the problem and outline a highly detailed, end-to-end structure and logic for the program. It is for this very reason that you’re sometimes fooled into thinking that the next stage, the development stage, would be just as straightforward as the design stage. The development stage is when you realise that most of the ideas you came up with don't work as expected, often forcing you back to the designing phase. As a result, you may need to discard some ideas and refine others, with the worst-case scenario being that you have to restart the entire project. In fact, you've probably already written hundreds of lines of code when your program suddenly crashes on line 397 because you're using a data structure incompatible with what you implemented on line 15. I’ve often found myself in similar, frustrating situations, with 4 days left to the project’s deadline, but this is what makes programming so addictive. No matter how exhausting it becomes, you’ll always find yourself back at your computer with renewed confidence that you will somehow find a solution to the given problem. #programming #algorithms #computerscience #coding #python #developer

Most students think coding starts with picking a programming language. It doesn’t. It starts with curiosity. I see so many people spend weeks debating: “Should I learn Python, C++, or Java?” (Trust me, I also did the exact same thing in the beginning). But the real question is much simpler: Are you actually solving problems, or just memorizing syntax? When I first started my DSA journey, I didn’t know about complex tech stacks, roadmaps, or frameworks. I just started solving problems. One small problem. Then another. Then another. And slowly, a massive mental shift happens. You stop thinking in terms of code... and start thinking in terms of solutions. That is when coding becomes powerful. Not when you can write "Hello World" in 10 different languages, but when you can break down a complex problem and build a solution from scratch. Consistency beats natural talent in programming. Always. Every strong developer you look up to today once Googled things like: "How to write a class for this data structure?" "Why is my code not working?" "What does this error even mean?" And that’s perfectly normal. Coding isn’t about being a genius. It’s about showing up daily, breaking things, and figuring it out. Start small. Stay consistent. The rest compounds over time. What was the very first piece of code you ever wrote? I think most of you will say: "Hello World."😂 #SoftwareEngineering #CodingJourney #LearnToCode #DSA #EngineeringStudents #TechCareers

Stop Chasing Languages, Start Building Logic. 🚀 Logic Matters More Than Language In today’s fast-changing tech world, new programming languages pop up every year. But here’s the truth 👇 👉 Languages are just tools. 👉 Logic is the real superpower. You can learn any language — Python, JavaScript, Go — in a few weeks. But building strong problem-solving skills? That takes real thinking. 💡 A great developer doesn’t just “code”… They: ✔ Break down complex problems ✔ Think in algorithms ✔ Optimize solutions ✔ Understand why, not just how That’s why top developers can switch tech stacks easily. Because their foundation is built on logic, not just syntax. 🔥 If you focus only on language, you’ll always chase trends. 🔥 If you focus on logic, you’ll stay ahead of trends. 📌 So next time you start learning something new… Ask yourself: 👉 “Am I learning syntax… or improving my thinking?” Because in the long run — Logic is your real career insurance. #LogicOverLanguage #ProgrammingMindset #DevelopersLife #CodingSkills #ProblemSolving #FullStackDeveloper #TechCareers #LearnToCode #SoftwareDevelopment #DeveloperGrowth #AI #FutureOfWork

After 10+ years in backend development, here are a few things that actually matter: 1. Code is the easy part.   Designing systems that scale is the real challenge. 2. Most production issues are not complex.   They come from missing edge cases and poor assumptions. 3. Debugging is a core skill.   If you can’t debug fast, you can’t survive in production systems. 4. Simplicity wins.   Over-engineering breaks more systems than it improves. 5. Good engineers write code.   Great engineers think before writing it. Still learning these lessons every day. What’s one lesson backend development taught you? #python #backend #softwareengineering #systemdesign

Most beginners skip this… but Week 3 taught me why it matters 🚀 This week was a game-changer. I moved from just writing code → to actually understanding how real applications work. Here’s what I learned 👇 🔹 Array Operations (CRUD Thinking) Learned how real systems manage data (Create, Read, Update, Delete) 🔹 Array Traversal Forward, reverse, and conditional traversal — the base of problem solving 🔹 Array Methods push, pop, slice, splice — writing cleaner and faster code 🔹 Object Handling Dot vs bracket notation, dynamic keys — important for APIs 🔹 Array of Objects This is where real-world programming starts (students, products, users) 🔹 Nested Data Structures Handling complex data like API responses 🔹 String Handling Validation, parsing, trimming — used in every application 🔹 Searching Techniques Linear search, find, existence check 🔹 Filtering & Mapping Modern JavaScript thinking (used in React & real apps) 🔹 Mutability vs Immutability Avoiding hidden bugs and writing safer code Built Practice Projects: ✔ To-do List Manager ✔ Contact Book ✔ Word Frequency Counter ✔ Product Filter System GitHub profile - https://lnkd.in/gMgyVz4f Biggest Realization: "Software development is not about syntax — it's about thinking in data and logic." #SoftwareDevelopment #CodingJourney  #Java #WebDevelopment #LearningInPublic #Developers #Programming #TechJourney