Code Reviews Improve Code and Engineer Thinking

Day 27 of 100 Days of Coding #100Daysofcoding #coding #dsa 1.Min Stack Pseudocode— First create 2 stacks - stack and min stack (arraylist in java) Here min stack will have min corresponding value for each value in main stack keeps minimum till that index For first  operation push - simple append for main stack and for min stack compare the current element with the value at the top of the min stack  For pop just use pop() for both the stacks  For top we need to get the value which was last inserted  For min value - we need to return from the top of the min stack as we want the minimum value.   Code: class MinStack:     def __init__(self):         self.stack=[]         self.minStack =[]             def push(self, val: int) -> None:         self.stack.append(val)         if self.minStack:             val=min(val,self.minStack[-1])         self.minStack.append(val)     def pop(self) -> None:         self.stack.pop()         self.minStack.pop()     def top(self) -> int:         return self.stack[-1]     def getMin(self) -> int:         return self.minStack[-1] Time Complexity- O(1)  Space Complexity- O(n)

Is SOLID just academic theory, or a survival tool for developers? 🧐 I’ll be honest: early in my career, I thought SOLID principles were just something you memorized to pass a technical round. I couldn't have been more wrong. 📉 After years of experience, I went back and revised them—and the "Aha!" moment was on a completely different level. If you’ve ever felt like TDD (Test-Driven Development) is too slow or doesn't work for your stack, the missing link is often how you apply these principles. The "Simple" Trap: 🪤 I recently worked on a standard Spring Boot feature. The "simplest" approach? One RestController and one Service class filled with private methods. It works, but it's a nightmare to test. You end up testing the whole world just to verify one small piece of logic. The SOLID Shift: 🚀 By applying patterns like Dependency Inversion (DIP) and Single Responsibility (SRP), I broke it down: ✅ Interfaces for DI: Decoupling the Service and Utils. ✅ Component Abstraction: Moving logic out of private methods into testable units. ✅ Mock-Friendly Design: Using the Spring Starter Test suite to mock dependencies easily. The Result? Instead of one massive test that’s hard to debug, I now have clean, independent tests for every component. It’s a massive sense of comfort to see code that isn't just "working," but is genuinely readable, maintainable, and testable. Clean code isn't about adding complexity; it's about creating the freedom to change your code without fear. 🛠️✨ Do you prefer the "Everything in one Service" approach for speed, or do you take the time to abstract with Interfaces? 🏗️ Let’s talk about where you draw the line in the comments! 👇 #SpringBoot #SOLID #Java #TDD #CleanCode #SoftwareArchitecture #BackendDevelopment #CodingLife

𝗗𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴 𝗜𝘀 𝗮 𝗦𝘂𝗽𝗲𝗿𝗽𝗼𝘄𝗲𝗿 Most developers want to write new features. Senior developers know how to debug. Anyone can write code when things work. Real skill shows when things break. 🔹 Debugging teaches you:  • How your code actually runs  • How memory behaves  • How threads interact  • How APIs really respond  • How databases execute queries When you debug deeply, you stop guessing and start understanding. 𝗪𝗲𝗮𝗸 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝘀𝗮𝘆: It’s not working. 𝗦𝘁𝗿𝗼𝗻𝗴 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝘀𝗮𝘆: Let’s find out why. Stack traces are not errors. They are clues. Logs are not noise. They are signals. If you want to grow faster as a developer, spend more time debugging than watching tutorials. That’s where real learning happens. What was the hardest bug you ever fixed? 👇 #Programming #Debugging #SoftwareEngineering #Java #BackendDevelopment #DeveloperMindset #Coding

👉 OOPS Concept Overview: Why Do We Call It an "Object-Oriented Programming System" (OOPS)? 🧐 Today in class, while revisiting the fundamentals of Java, I paused at an interesting thought — why do we call it a system and not just a programming style? A system is something where multiple components work together in harmony to create structure and stability — just like a political system or an education system. Object-Oriented Programming works the same way. It stands strong because of four powerful pillars. Remove one, and the structure weakens. 🏗️ 🏛️ The Four Pillars of OOPS: 1️⃣ Encapsulation Like a medical capsule 💊 — you don’t see what’s inside, but it works effectively. In Java, we bundle data and methods together inside a class and restrict direct access using private access modifiers. This ensures data security and controlled access through getter and setter methods. 2️⃣ Inheritance The parent–child relationship 👨👩👧 Why rewrite code when you can reuse it? Inheritance allows one class to acquire properties and behaviors of another class, promoting reusability and reducing redundancy. 3️⃣ Polymorphism “One name, many forms.” A method like add() can behave differently depending on the parameters provided. Through method overloading and method overriding, Java allows flexibility and dynamic behavior in programs. 4️⃣ Abstraction My personal favorite. 🚗 When you drive a car, you use the steering wheel and pedals without worrying about how the engine works internally. Similarly, abstraction hides implementation details and shows only the essential features — achieved using abstract classes and interfaces in Java. 💡 The Real Takeaway OOPS isn’t just a concept to memorize for interviews. It’s a structured system that helps developers build scalable, maintainable, and professional software. The “S” in OOPS represents the synergy of these four pillars working together — forming a strong foundation for modern software development. TAP Academy Sharath R #Java #OOPS #SoftwareEngineering #CodingLife #Programming #TechCommunity

🚀 YAGNI, KISS & DRY — 3 Rules Every Developer Should Follow Writing code is easy. Writing clean code is different. If you follow just these 3 principles, your code will improve a lot 👇 1️⃣ 𝗬𝗔𝗚𝗡𝗜 — 𝗬𝗼𝘂 𝗔𝗿𝗲𝗻’𝘁 𝗚𝗼𝗻𝗻𝗮 𝗡𝗲𝗲𝗱 𝗜𝘁 Do not build features that are not needed right now. ❌ “Maybe we will need this later…” ❌ Extra classes and layers ❌ Unused code ✅ Build only what is required today. Too much planning can make your code heavy and complex. 2️⃣ 𝗞𝗜𝗦𝗦 — 𝗞𝗲𝗲𝗽 𝗜𝘁 𝗦𝗶𝗺𝗽𝗹𝗲 Do not make things complicated. ❌ Very complex logic ❌ Too many design patterns for small problems ❌ Hard-to-read code ✅ Clear and simple logic ✅ Easy to understand ✅ Easy to debug Simple code is not weak. Simple code is strong. 3️⃣ 𝗗𝗥𝗬 — 𝗗𝗼𝗻’𝘁 𝗥𝗲𝗽𝗲𝗮𝘁 𝗬𝗼𝘂𝗿𝘀𝗲𝗹𝗳 Avoid writing the same logic again and again. ❌ Copy-paste code ❌ Duplicate validation ❌ Same logic in many places ✅ Reusable methods ✅ Common utility functions ✅ One source of truth Good developers don’t write more code. They write better code. Which principle do you find hardest to follow? 👇 #Java #CleanCode #SoftwareDevelopment #Programming #YAGNI #KISS #DRY

Back on track after a short health break — consistency continues 💪 Day 12 of #100DaysOfCode 🚀 👉 LeetCode #15 – 3Sum (Medium) This problem really tests how well you can optimize brute-force thinking into an efficient solution. 🔹 Approach: First, sort the array Fix one element at a time Use two pointers (left & right) to find pairs with sum -nums[i] Carefully skip duplicates to avoid repeated triplets ⏱ Complexity: Time: O(n²) Space: O(1) (excluding output) 📌 Key Learnings: Sorting can simplify complex problems Two-pointer technique shines after sorting Handling duplicates is as important as core logic Medium problems demand clarity + patience, not shortcuts 💡 Takeaway: Optimization isn’t about writing less code — it’s about thinking smarter, step by step. Building strong DSA fundamentals in Java, one problem at a time. #LearnInPublic #DSA #Java #LeetCode #TwoPointers #ProblemSolving #CodingJourney #SoftwareEngineering #100DaysOfCode

🚀 Day 134 of #1000DaysOfCode LeetCode Daily Challenge — Day 58 58 consecutive days of structured problem solving. Discipline is now default. Today’s challenge required careful state tracking, ordered set usage, and boundary management — combining logic precision with efficient data structure handling. Key takeaways: • Strengthened understanding of ordered data structures (TreeSet / lower_bound logic) • Improved range-based iteration with controlled updates • Practiced optimizing transitions between states • Reinforced writing scalable solutions under higher constraints ✔️ Accepted solution 🔁 58-Day Coding Streak Not every problem is about speed. Some are about staying composed when logic becomes layered. Two more days to 60. 🚀 #LeetCode #Consistency #Algorithms #DataStructures #Java #ProblemSolving #SoftwareEngineering #CodingJourney #InterviewPrep

🚀 𝗢𝗢𝗣𝗦 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲𝘀 𝗶𝗻 𝗝𝗮𝘃𝗮 Object-Oriented Programming is built on 4 core principles 👇 1️⃣ 𝗜𝗻𝗵𝗲𝗿𝗶𝘁𝗮𝗻𝗰𝗲 → One class acquires properties of another → Promotes code reusability 2️⃣ 𝗘𝗻𝗰𝗮𝗽𝘀𝘂𝗹𝗮𝘁𝗶𝗼𝗻 → Binding data and methods together → Protects internal state of an object 3️⃣ 𝗣𝗼𝗹𝘆𝗺𝗼𝗿𝗽𝗵𝗶𝘀𝗺 → One interface, multiple implementations → Method overloading & overriding 4️⃣ 𝗔𝗯𝘀𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 → Hiding implementation details → Showing only essential features 📌 These 4 principles work together to make code: ✅ Modular ✅ Reusable ✅ Scalable ✅ Easy to maintain 🚀 𝗢𝗢𝗣𝗦 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲 4 – 𝗔𝗯𝘀𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗶𝗻 𝗝𝗮𝘃𝗮 Abstraction is one of the most powerful concepts in Object-Oriented Programming. It focuses on what an object does, not how it does it. Let’s simplify it 👇 🔹 𝗛𝗶𝗱𝗶𝗻𝗴 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗗𝗲𝘁𝗮𝗶𝗹𝘀 Users don’t need to know the internal working of a system. ➡️ Complex logic stays hidden inside the class. 🔹 𝗦𝗵𝗼𝘄𝗶𝗻𝗴 𝗢𝗻𝗹𝘆 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀 Expose only what is necessary through methods. ➡️ Clean and simple interface for interaction. 💡 𝗛𝗼𝘄 𝗶𝘀 𝗔𝗯𝘀𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗱 𝗶𝗻 𝗝𝗮𝘃𝗮? ✅ 𝗔𝗯𝘀𝘁𝗿𝗮𝗰𝘁 𝗖𝗹𝗮𝘀𝘀𝗲𝘀 • Can have abstract (unimplemented) methods • Can also have concrete methods • Used when classes share a common base ✅ 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲𝘀 • Define a contract • Provide full abstraction • Enable multiple inheritance 🎯 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗘𝘅𝗮𝗺𝗽𝗹𝗲 Think of driving a car 🚗 You use: • start() • accelerate() • brake() But you don’t know how the engine internally works. That’s abstraction — hiding complexity while exposing essential functionality. 📌 𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆: Abstraction reduces complexity, improves security, and makes systems easier to maintain and scale. Mastering abstraction helps you design clean, flexible, and scalable applications — a must for Java developers and interview preparation. 💬 What’s your favorite real-world example to explain abstraction? #Java #OOP #Abstraction #JavaDeveloper #Programming #SoftwareEngineering #InterviewPrep #LearningDaily

🚀 𝐉𝐚𝐯𝐚 𝐓𝐡𝐫𝐞𝐚𝐝 𝐋𝐢𝐟𝐞 𝐂𝐲𝐜𝐥𝐞 – 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐞𝐝 𝐋𝐢𝐤𝐞 𝐑𝐞𝐚𝐥 𝐋𝐢𝐟𝐞! Have you ever noticed how we humans go through different stages in a day? 𝑾𝒆 𝒘𝒂𝒌𝒆 𝒖𝒑 😴 → 𝒈𝒆𝒕 𝒓𝒆𝒂𝒅𝒚 → 𝒔𝒕𝒂𝒓𝒕 𝒘𝒐𝒓𝒌𝒊𝒏𝒈 → 𝒘𝒂𝒊𝒕 𝒇𝒐𝒓 𝒔𝒐𝒎𝒆𝒕𝒉𝒊𝒏𝒈 → 𝒇𝒊𝒏𝒊𝒔𝒉 𝒘𝒐𝒓𝒌 → 𝒈𝒐 𝒕𝒐 𝒔𝒍𝒆𝒆𝒑. Interestingly, a Thread in Java follows a very similar life cycle! Let’s understand it in the simplest way possible 👇 In Java, a Thread is like a small worker inside your program that performs a task. 🟢 1. 𝐍𝐞𝐰 (𝐁𝐨𝐫𝐧 𝐒𝐭𝐚𝐠𝐞) When you create a thread using new Thread(), it is just created. It’s like a person who has woken up but hasn’t started working yet. 🟡 2. 𝐑𝐮𝐧𝐧𝐚𝐛𝐥𝐞 (𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐑𝐮𝐧) When you call start(), the thread becomes ready to run. It’s like reaching the office and waiting for your manager to assign work. 🔵 3. 𝐑𝐮𝐧𝐧𝐢𝐧𝐠 Now the thread is actively executing its task. This is the “doing the actual work” stage. 🟠 4. 𝐖𝐚𝐢𝐭𝐢𝐧𝐠 / 𝐁𝐥𝐨𝐜𝐤𝐞𝐝 Sometimes a thread has to wait — maybe for another task to finish or for some resource. Just like waiting for a reply to an important email. 🔴 5. 𝐓𝐞𝐫𝐦𝐢𝐧𝐚𝐭𝐞𝐝 (𝐃𝐞𝐚𝐝) Once the task is completed, the thread finishes its life cycle. Work done. Day over. 😌 💡 Why does this matter? Because understanding thread life cycle helps you: ✔ Write better multi-tasking programs ✔ Improve performance ✔ Avoid errors like deadlocks ✔ Think like a real software engineer Threads are not just technical concepts — they reflect how real life works. If this explanation made threads simpler for you, drop a 👍 in the comments! And tell me — should I explain Multithreading in the same simple way next? 😊 #Java #Multithreading #Programming #SoftwareDevelopment #TechForEveryone