Understanding Race Conditions in Concurrency

You don’t become an 𝑰𝑻 𝒆𝒏𝒈𝒊𝒏𝒆𝒆𝒓 by watching tutorials… You become one by 𝐬𝐨𝐥𝐯𝐢𝐧𝐠 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 🧠✨ ⛔ Not random exercises. ⛔ Not easy wins. But the kind of challenges that quietly reshape how you think 💭 ✅ From validating logic ✔️ ✅ To optimizing decisions ⚡ ✅ To understanding how real systems behave 🏗️ These 𝟓 𝐜𝐥𝐚𝐬𝐬𝐢𝐜 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 are more than practice… They’re a shift from “I can code” → “I can think like an engineer” ⚜️ Take your time with them. Struggle a bit. That’s where growth happens 😉 💬 Tell us: 𝒘𝒉𝒊𝒄𝒉 𝒐𝒏𝒆 𝒎𝒂𝒅𝒆 𝒚𝒐𝒖 𝒔𝒕𝒐𝒑 𝒂𝒏𝒅 𝒕𝒉𝒊𝒏𝒌? #coding #softwareengineer #learncoding #programming #K3L

Furthest point from origin Thought process: We’re given a string with 'L', 'R', and '_'. 'L' → move left 'R' → move right '_' → can be either left or right 🤔 So the key idea is: the final distance mainly depends on how we use '_'. To maximize distance, we should move all '_' in the direction that already has more moves (left or right). This way, the gap increases as much as possible. So, the ans becomes: abs(lCnt - rCnt) + underscore_cnt #programming #problemSolving #coding #developers #softwareengineering #DSA #algorithms

Things that seem easy (but aren’t): Naming variables. At first, it feels trivial. Just pick something that works. Something short. Something “good enough.” But bad names don’t fail immediately. They fail later. When someone else reads your code. When you revisit it after a week. When the logic grows more complex. Now “data”, “temp”, “value” mean nothing. Good naming is not about creativity. It’s about clarity. It forces you to understand what the code is actually doing. And that’s why it’s hard. Because if you can’t name it clearly, you probably don’t understand it well enough. Simple on the surface. Deep in practice. What’s the hardest thing you’ve had to name in code? #softwareengineering #cleancode #developers #programming #engineering

Spent 3 hours debugging a production issue last week. Turned out someone had named a variable "data" inside a function that also used an outer "data" variable. No error. No warning. Just completely wrong output silently the whole time. Please, for the love of everything, give your variables actual names. "data", "info", "temp" and "obj" are not variable names, they're apologies. #SoftwareEngineering #CleanCode #Programming #DevLife #CodingTips

🚀 LESSON 15 – Embedded C Zero to Hero 🧠 Topic: typedef Long and complex data types make code hard to read. 👉 typedef helps you simplify and write cleaner code. --- 💡 What is typedef? "typedef" is a keyword used to create an alias (new name) for an existing data type. --- 📦 Example: typedef unsigned int uint32; typedef unsigned char uint8; 👉 Now you can use: uint32 count = 1000; uint8 status = 1; ✔ Cleaner code ✔ Easier to understand ✔ Professional style --- ⚙️ typedef with Structure: typedef struct { int id; int speed; } Motor; 👉 Usage: Motor m1; m1.id = 1; m1.speed = 120; --- 🔗 typedef with Pointer: typedef int* IntPtr; IntPtr p1, p2; ✔ Simplifies complex declarations --- 💡 Why typedef is Important? ✔ Improves code readability ✔ Reduces typing of long data types ✔ Useful in embedded libraries & drivers ✔ Helps in portability across platforms --- ⚖️ typedef vs #define: ✔ "typedef" → Type-safe, better debugging ✔ "#define" → Text replacement only 👉 Prefer "typedef" for data types 👍 --- ⚠️ Common Mistakes: ❌ Overusing typedef unnecessarily ❌ Using unclear alias names ❌ Confusing pointer typedefs --- 💡 Best Practices: ✔ Use meaningful alias names ✔ Follow consistent naming convention ✔ Use typedef for complex types only ✔ Keep it simple and readable --- 🎯 Key Takeaway: "typedef" makes your code clean, readable, and maintainable — a small change with a big impact. --- 🚀 Next Lesson: Preprocessor Directives 📢 Follow for more: 👉 Embedded C 👉 Programming 👉 Real-world Projects #EmbeddedC #CProgramming #Typedef #Programming #Microcontroller #IoT #Coding #Developers #TechEducation #LearnToCode #goldenwebportal

Every developer has seen this at least once 😅 A bug shows up in production. Everyone is stressed. Time is ticking. Then someone says... “Don’t worry, I fixed it.” 👀 You check the code and realize, the “fix” was just commenting it out. No error. No crash. No feature either 😂 It’s funny, but it’s also a lesson: Fixing a bug isn’t about hiding the problem, it’s about understanding why it happened in the first place. Because “no code = no bug” works. until someone asks, “why isn’t this working anymore?” 😭 #coding #dsa #algorithms #programming #developers #learncoding

Solved today’s LeetCode Daily and it made me pause 👇 “XOR After Range Multiplication Queries I” At first glance, it looks like: Segment Tree? Lazy Propagation? Some heavy optimization? 🤯 But the reality? Sometimes… brute force wins. --- Given constraints were small. And that completely changes the game. So instead of overengineering: ✔️ Just simulate each query ✔️ Jump with k steps ✔️ Apply multiplication (mod 1e9+7) ✔️ Take final XOR And that’s it. --- The interesting part 👇 As developers, we are trained to think: “Optimize first” But problems like this remind us: 👉 Understand constraints before choosing approach Because honestly, A simple O(n * q) solution can beat an overcomplicated design any day. --- What I learned today: • Not every problem needs advanced DS • Constraints are part of the problem statement for a reason • Simplicity is underrated --- Consistency check ✅ One more problem done. --- Curious 👇 Comment your approach. #LeetCode #DSA #Programming #Coding #Developers #ProblemSolving #Rust

What if you could know how your code will perform… before you run it? Change the goal. Watch the system adapt. Same code. Different outcome. #AI #Software #Programming #Optimization https://lnkd.in/eD2RqjxR

Debugging is a skill every developer talks about… But very few actually master. In the beginning, I used to jump straight into fixing code. I assumed I already knew the problem. Most of the time, I was wrong. Now my approach is different: 1. Reproduce the issue 2. Understand the data flow 3. Log everything important 4. Fix the root cause Debugging is not about being smart. It’s about being systematic. And honestly, the calmer you stay, the faster you solve it. #Debugging #Programming #ProblemSolving #Developers

🧠 One small mistake can break your entire logic. Today I learned this while solving a grid problem 👇 💻 LeetCode #1559 — Detect Cycles in 2D Grid At first glance, it looks like a simple DFS problem… But there’s a catch ⚠️ 🔍 Common mistake developers make: 👉 “If I visit an already visited cell → cycle exists” Sounds correct… but it’s NOT ❌ 🚀 My Approach (DFS + Parent Tracking): Traverse the grid using DFS Move in 4 directions (up, down, left, right) Only move to cells with the same character 👉 While moving, I track the parent cell 💡 Key Logic: If I reach a cell that is: Already visited AND not the parent 👉 Then a cycle exists ✅ ⚙️ Why parent check is important? Because going back to the previous cell is normal 👉 It should NOT be treated as a cycle 🧠 Takeaway: In DSA, logic rarely fails… 👉 Edge cases do 🔥 The difference between wrong and correct solution is often just one condition Have you ever fixed your solution by changing just 1 line? 😄 #LeetCode #DSA #Algorithms #Programming #Debugging #ProblemSolving #Developers #CodingJourney