Learning Strategies for Software Developers

No-BS advice for growing and aspiring software engineers from 20 years of lived experiences at Amazon, Google, Paytm, and multiple startups…(this made me who I am today..) 1. Go deep in one programming language, stick with it for 100 days, don’t hop around. 2. Learn at least one strongly typed language, it will teach you to build scalable systems. 3. Master data structures, algorithms, and design patterns, you will use them in real-world systems. 4. Get obsessed with debugging, learn to use logs, tools, and step through unfamiliar code until you find the bug. 5. Think in first principles, don’t take “that’s just how it is” as the answer, go figure out the real reason. 6. When stuck, step away, your best ideas come when you disconnect, not when you force it. 7. Ship an app end-to-end, even if it’s ugly, nothing beats building, deploying, and maintaining your own project. 8. Stay with projects for more than a year, only then will you see the real impact of your design decisions. 9. Don’t chase every shiny new framework, learn the fundamentals and choose tools that stand the test of time. 10. Don’t get intimidated by complexity, every big system is just code written by people like you. 11. Be curious, explore outside your main stack, and learn from every domain you touch. 12. Don’t sleep on AI, start learning and using AI tools, or you’ll be left behind. 13. Crack a FAANG interview at least once, it changes your career, your network, and your earning power. 14. Treat interviews as a learnable skill, practice, mock, and study until you’re good. 15. Don’t job-hop too often, long stints on tough projects get you big-impact, big-trust roles. 16. Learn to spot and grab opportunities, watch for new initiatives, reorgs, or problems no one else wants. 17. Advocate for yourself, document your impact, socialize your wins, and talk about your work. 18. Understand promotions, they’re a game; study how your company does it, and play to win. 19. Keep a brag document, track every win, big or small, and review with your manager regularly. 20. Take control of your career, no one cares about your growth as much as you do.

After 20+ years as a Java developer, I've learned that staying current isn't about mastering every new feature or framework—it's about creating sustainable learning habits that prevent burnout while keeping you relevant. Many developers I mentor struggle with the same challenge: Java's ecosystem evolves rapidly, but our mental bandwidth doesn't expand to match. The constant pressure to learn can lead to anxiety, impostor syndrome, and eventually burnout. Here's my approach to sustainable learning that has served me well: 𝗙𝗼𝗰𝘂𝘀 𝗼𝗻 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀, 𝗻𝗼𝘁 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 Frameworks come and go, but core principles endure. When you understand the fundamentals deeply, adapting to new implementations becomes much easier. 𝗟𝗲𝗮𝗿𝗻 𝗶𝗻 𝗰𝗼𝗻𝗰𝗲𝗻𝘁𝗿𝗶𝗰 𝗰𝗶𝗿𝗰𝗹𝗲𝘀 Rather than trying to master everything at once:   • Start with a solid understanding of a small core   • Gradually expand outward as needed   • Deepen knowledge in areas that provide the most value 𝗖𝗿𝗲𝗮𝘁𝗲 𝗮 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗽𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 Just like financial investments, diversify your knowledge:   • 70% in stable core technologies   • 20% in emerging stable technologies   • 10% in experimental technologies 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁 𝗱𝗲𝗹𝗶𝗯𝗲𝗿𝗮𝘁𝗲 𝗿𝗲𝘀𝘁 Continuous learning requires recovery periods. Schedule deliberate rest to let new concepts integrate—take walks, alternate between learning and applying, and include "no learning" days. 𝗕𝘂𝗶𝗹𝗱 𝗮 𝗳𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗹𝗼𝗼𝗽 Accelerate understanding by explaining concepts to others, writing about what you've learned, and building small proof-of-concept applications. 𝗨𝘀𝗲 𝘁𝗵𝗲 "𝗷𝘂𝘀𝘁 𝗲𝗻𝗼𝘂𝗴𝗵, 𝗷𝘂𝘀𝘁 𝗶𝗻 𝘁𝗶𝗺𝗲" 𝗽𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲 You don't need to know everything about a technology—just enough to solve your current problems. 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘁𝗼 𝗽𝗿𝗼𝗯𝗹𝗲𝗺-𝘀𝗼𝗹𝘃𝗶𝗻𝗴 Abstract learning without application rarely sticks. Connect new concepts to actual problems you're facing in your current projects. Remember that sustainable learning isn't about speed—it's about consistency and resilience. The developer who learns steadily over years will ultimately outpace the one who burns out after an intense cramming period. What sustainable learning strategies have worked for you? I'd love to hear your experiences in the comments.

I’m often asked by software developers how they can grow—especially those early in their careers. I rarely tailor my answer to someone’s skill level. The truth is, the same habits that help you level up early on will carry you through your entire career. Here are six I always come back to: 1. Ask why before you build. Don’t just take a ticket and run with it. Ask what problem it solves and why it matters. That context will make you 10x more effective. 2. Ship small and often. You don’t need everything figured out to get started. Build something small that works, get feedback, and keep improving. Progress > perfection. 3. Own your stuff. If you built it, you’re responsible for how it works in prod. That doesn’t mean doing everything alone—it means caring enough to follow through. 4. Review code like it’s part of the job. Reviews aren’t a favor—they’re how you learn. Read more code than you write and ask questions when something doesn’t make sense. 5. It’s OK to mess up. Just learn from it. Mistakes happen. What matters is that you dig in, figure out what went wrong, and share what you learned. 6. Build side projects. Nothing accelerates learning like building something end to end—design, code, bugs, and all. You’ll gain confidence, pick up new skills, and maybe even build something useful. — If you’re doing those things, you’re way ahead of the curve. Keep showing up, stay curious, and keep shipping.

Starting from scratch to learn Java and become a Software Development Engineer (SDE) requires a structured approach. Here’s a step-by-step guide: 1. Understand the Basics of Programming If you’re new to coding, start with basic programming concepts: ✅ Variables & Data Types (int, float, boolean, String) ✅ Operators & Expressions ✅ Control Structures (if-else, loops) 📌 Resources: Harvard’s CS50 (for general programming concepts) 2. Learn Core Java Java is an Object-Oriented Programming (OOP) language, so you should focus on: ✅ OOP Concepts (Classes, Objects, Inheritance, Polymorphism, Encapsulation, Abstraction) ✅ Exception Handling ✅ Collections Framework (List, Set, Map) ✅ Multithreading & Concurrency ✅ File Handling & I/O 📌 Resources: Java Programming Course by Oracle | Java: The Complete Reference by Herbert Schildt 3. Master Data Structures & Algorithms (DSA) This is crucial for SDE roles and coding interviews. Focus on: ✅ Arrays, Strings, Linked Lists, Stacks, Queues ✅ Hashing & Maps ✅ Recursion & Backtracking ✅ Sorting & Searching Algorithms ✅ Graphs & Trees (BFS, DFS, Binary Search Tree) ✅ Dynamic Programming (DP) 📌 Resources: DSA by Abdul Bari (YouTube) | NeetCode for Practice | LeetCode 4. Build Java Projects Start applying what you’ve learned by building projects: ✅ Basic: To-Do List, Calculator, Simple Banking System ✅ Intermediate: Chat Application, Library Management System ✅ Advanced: Spring Boot Microservices, E-Commerce App 📌 Resources: Spring Boot Guide | Java Project Ideas 5. Learn System Design & Databases For real-world applications and interviews, understanding System Design is important: ✅ Databases: SQL (MySQL, PostgreSQL), NoSQL (MongoDB) ✅ System Design Concepts: Load Balancing, Caching, Microservices ✅ Design Patterns: Singleton, Factory, Observer 📌 Resources: System Design Primer (GitHub) 6. Start Competitive Programming & Coding Interviews ✅ Solve DSA Problems Daily (LeetCode, CodeForces, CodeChef) ✅ Mock Interviews on Pramp & InterviewBit ✅ Revise Core Java Concepts Before Interviews 📌 Resources: LeetCode Grind | Cracking the Coding Interview by Gayle Laakmann McDowell 7. Apply for SDE Jobs & Contribute to Open Source ✅ Work on GitHub projects ✅ Contribute to Open Source (Apache, Google, Microsoft projects) ✅ Network on LinkedIn & Attend Tech Meetups 📌 Resources: How to Contribute to Open Source Final Advice: 🚀 Be Consistent – Even 1-2 hours daily can help 💡 Solve Problems Daily – Aim for 300+ DSA questions 🔗 Build a Portfolio – Showcase projects & contributions

Don’t get stuck coding in your software engineer career One of the biggest challenges in a software engineer’s career is learning when and how to grow beyond code. Many engineers enter the field focused entirely on writing syntax, solving algorithmic challenges, and building features. And while these are foundational skills, they’re only the beginning. Yes, code is the entry point. But real career growth comes when you move through the journey: Coding → Development → Software Practices → Software Design → Advanced Tech & Architecture Let me break that down for you Coding You learn syntax. You build features. You fix bugs. This is where we all start and where many choose to stay.But if all you do is write code, you become replaceable by AI easily Development You begin thinking beyond functions and loops. You understand how systems work. You ship products, not just code. You think in terms of impact. Software Practices This is where engineering maturity begins: • Version control • Testing • CI/CD • Documentation • Code reviews You learn to collaborate. To maintain. To improve quality. Software Design Now you’re thinking in patterns, principles, and architecture. You care about scalability, maintainability, and business use cases. You start asking: “Is this the right abstraction?” “How will this scale in 12 months?” You’re not just solving problems — you’re designing systems. Advanced Tech & Architecture At this stage, you’re thinking platform-wide: • Distributed systems • Cloud-native apps • Performance optimization • Security • DevOps You become the one people call when big decisions need to be made. So what’s the point? Don’t stay stuck.Keep growing. Seek knowledge. Build and grow with intention. What’s the next “growth area” you’re focusing on? Other Devs and I can share helpful links or insights to support you.

𝗜’𝘃𝗲 𝘁𝗿𝗮𝗶𝗻𝗲𝗱 𝟱𝟬+ 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 — 𝗮𝗻𝗱 𝘁𝗵𝗲𝘆 𝗮𝗹𝗹 𝗺𝗮𝗸𝗲 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗺𝗶𝘀𝘁𝗮𝗸𝗲. They reread notes. Rewatch tutorials. But rarely 𝘁𝗲𝘀𝘁 what they actually understand. That’s the biggest trap in learning — confusing 𝗳𝗮𝗺𝗶𝗹𝗶𝗮𝗿𝗶𝘁𝘆 with 𝗺𝗮𝘀𝘁𝗲𝗿𝘆. When I was learning my first programming language, I did the same thing — endless repetition, zero retention. Until I discovered Richard Feynman’s principle: “If you can’t explain it simply, you don’t understand it well enough.” That line changed how I learn — and how I teach. Now I use five proven methods that turn learning into a system: 𝗧𝗵𝗲 𝗙𝗲𝘆𝗻𝗺𝗮𝗻 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲 — simplify until it’s crystal clear. 𝗔𝗰𝘁𝗶𝘃𝗲 𝗥𝗲𝗰𝗮𝗹𝗹 — test yourself, don’t just reread. 𝗧𝗵𝗲 𝗟𝗲𝗶𝘁𝗻𝗲𝗿 𝗦𝘆𝘀𝘁𝗲𝗺 — repeat less, remember more. 𝗔𝗜 𝗣𝗿𝗼𝗺𝗽𝘁𝘀 — use AI to explain, quiz, and summarize. 𝗧𝗵𝗲 𝗛𝗮𝗿𝘃𝗮𝗿𝗱 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 — spaced repetition, self-testing, and feedback loops. And most importantly — 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗶𝗺𝗺𝗲𝗱𝗶𝗮𝘁𝗲𝗹𝘆. Real understanding doesn’t happen in your head. It happens in action. Since then, I’ve learned faster — and helped others do the same. Because smart learning isn’t about IQ. It’s about 𝗶𝘁𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲. 💬 What’s one learning habit you’d change if you could start over? — Natan Mohart

5 Things Every New Developer Should Learn (Most newbies miss the real essentials) Coding is more than typing fast. Many beginners focus on the wrong skills. Real growth comes from habits and mindset. Without these, projects feel too hard to finish. The right skills make learning much easier. I’ve helped many junior developers succeed. I’ve seen what makes some grow fast. → Problem-Solving Mindset ↳ Break big problems into smaller pieces. ↳ Ask “why” before writing any code. ↳ Plan steps ahead, think before coding. → Version Control (Git) ↳ Mistakes happen; Git keeps work safe. ↳ Git makes teamwork much easier for everyone. ↳ Knowing Git builds confidence on projects. → Debugging Skills ↳ Bugs are lessons, not failures. ↳ Read error messages carefully every time. ↳ Step through code, understand every part. → Clean, Readable Code ↳ Name variables and functions clearly. ↳ Write code easy to understand later. ↳ Clean code saves time and headaches. → Continuous Learning ↳ Tech changes fast; keep learning daily. ↳ Learn how to learn, not memorize. ↳ Read docs, blogs, and learn from others. Tips for Beginners: • Ask questions, curiosity helps you grow. • Pair programming teaches faster than alone. • Build small projects to gain confidence. • Don’t compare yourself with other coders. Coding is more than syntax and frameworks. It is thinking, debugging, learning constantly. Stop chasing shortcuts; focus on core skills. Master these five, doors will open . Good habits matter more than talent alone. P.S. Which of these five skills have you learned?

𝗟𝗲𝗮𝗿𝗻 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗻𝗼𝘁 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 We developers like to learn new stuff and try it ASAP. That stuff consists mainly of new frameworks and tools (such as React, Angular, Spring, Web Forms, etc.). Yet, those frameworks usually have 𝗮 𝘀𝗵𝗼𝗿𝘁 𝗹𝗶𝗳𝗲, 𝟮 𝘁𝗼 𝟱 𝘆𝗲𝗮𝗿𝘀 𝗮𝘁 𝘁𝗵𝗲𝗶𝗿 𝗯𝗲𝘀𝘁. Instead of learning frameworks, which are needed to some extent, we should focus more on learning fundamentals. 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗼𝗳 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 allows a developer to understand the underlying principles and concepts common across different frameworks and programming languages. This understanding allows for more flexibility and adaptability when working with new technologies or facing problems that a specific framework may not quickly solve. Additionally, a strong understanding of the fundamentals can lead to 𝗺𝗼𝗿𝗲 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗮𝗻𝗱 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲 𝘂𝘀𝗲 𝗼𝗳 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀, as the developer can better understand how to customize and extend them to meet specific needs. Take an example of a web application that allows users to upload and share images, e.g., Ruby on Rails, and its functionalities for image processing. If the number of users increases, we could struggle with performance issues if we know only the framework well. Yet, if we understand the fundamentals of web development, we could try to identify bottlenecks and try different solutions, such as using CDN-s, optimizing image sizes, using various storage solutions, etc. So, which fundamentals to learn: 🔹 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 🔹 𝗗𝗮𝘁𝗮 𝘀𝗼𝘂𝗿𝗰𝗲𝘀 🔹 𝗗𝗲𝘀𝗶𝗴𝗻 𝗽𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 🔹 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 🔹 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 🔹 𝗖𝗹𝗲𝗮𝗻 𝗰𝗼𝗱𝗲 Try to learn those fundamentals, buy and read these books: 🔸 𝗧𝗵𝗲 𝗣𝗿𝗮𝗴𝗺𝗮𝘁𝗶𝗰 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲𝗿 🔸 𝗖𝗼𝗱𝗲 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 🔸 𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀: 𝗘𝗹𝗲𝗺𝗲𝗻𝘁𝘀 𝗼𝗳 𝗥𝗲𝘂𝘀𝗮𝗯𝗹𝗲 𝗢𝗯𝗷𝗲𝗰𝘁-𝗢𝗿𝗶𝗲𝗻𝘁𝗲𝗱 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 🔸 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 🔸 𝗖𝗹𝗲𝗮𝗻 𝗖𝗼𝗱𝗲 #softwareengineering #programming #developers #softwaredesign #techworldwithmilan

This software engineer made the switch from Infosys (4.5 LPA) to Amazon (20 LPA+) to Google (40+ LPA) during the peak recession times, where 1000s of people had already been laid off. He was my mentee when he was working as a systems engineer at Infosys back in late 2020, so proud of him for moving up in his career and doing so well. I am sharing a simple DSA strategy I gave him, so that it can help you, too! Most students struggle with DSA, not because their logic is weak… but because their approach is broken. ✅ Step 1: Pick the Language That Works For You • Stop overthinking between Java, C++, Python. • Pick what you’re *fastest* at under pressure. • If you’re quick with strings, Python helps; for deep recursion, C++ or Java may shine. ✅ Step 2: Learn Pattern-Wise (Not Randomly) This is where 95% of people go wrong. He focused on core DSA patterns, not random questions. * Sliding Window * Two Pointers * Hashing * Recursion & DP * Backtracking * Binary Search on Answers * Monotonic Stack/Queue Once you recognize the pattern, half the battle is won. 👉 Here’s the exact guide he followed: [bit.ly/45qggma] (If you want to stop feeling lost in endless LeetCode sheets, this is for you.) ✅ Step 3: Be Ruthless About Time & Space It’s not enough to solve, you have to explain time and space, every single round. He revised Big-O, tradeoffs, and always started brute force before optimizing. Kept a one-pager cheat sheet handy before interviews. It’s a game-changer. ✅ Step 4: Nail the Basics Before You Touch DP or Graphs No skipping steps. His first month was all Arrays, LinkedLists, Stacks/Queues, and HashMaps. If you can’t build an LRU Cache or a custom HashMap, don’t rush to DP. ✅ Step 5: Follow a Clear Roadmap (Not 10 DSA Sheets at Once) He kept his learning sequence strict: 1. Arrays, LinkedLists, HashMaps 2. Searching & Sorting 3. Trees (pre/in/post-order) 4. Graphs, Heaps, Backtracking 5. Recursion 6. DP, Tries, Union Find ✅ Step 6: Practice With Depth, Not Just Count 10 problems solved deeply > 50 done shallowly. With each problem, he’d ask: “What’s the underlying pattern?” Max subarray sum? Sliding Window. Lots of repeated subproblems? Recursion, then DP. Multiple solution paths? Backtracking. ✅ Step 7: Interview Like a Real Engineer He’d always: — Start with brute force (shows you can think) — Talk through his ideas (shows clarity) — Clarify the problem before jumping to code (saves you from edge-case traps) — Test for nulls, empties, single elements The goal isn’t to become a LeetCode robot. It’s to become the kind of engineer who can debug, solve, and deliver, even when the problem is new and the stakes are high. If he can make the switch, so can you.

Software Design Principles Great software isn't just about making things work, it's about creating systems that are maintainable, scalable, and resilient. These fundamental design principles guide developers toward writing better code. 1./ 𝐊𝐈𝐒𝐒 (𝐊𝐞𝐞𝐩 𝐈𝐭 𝐒𝐢𝐦𝐩𝐥𝐞, 𝐒𝐭𝐮𝐩𝐢𝐝) ➟ The most elegant solutions are often the simplest. ➟ Avoid unnecessary complexity, keep code clear and concise, and focus on essential features. Remember that code is read far more often than it's written. 2./ 𝐃𝐑𝐘 (𝐃𝐨𝐧'𝐭 𝐑𝐞𝐩𝐞𝐚𝐭 𝐘𝐨𝐮𝐫𝐬𝐞𝐥𝐟) ➟ Every piece of knowledge in a system should have a single, unambiguous representation. 3./ 𝐘𝐀𝐆𝐍𝐈 (𝐘𝐨𝐮 𝐀𝐢𝐧'𝐭 𝐆𝐨𝐧𝐧𝐚 𝐍𝐞𝐞𝐝 𝐈𝐭) ➟ Resist implementing features "just in case." ➟ Build what's needed today. 4./ 𝐒𝐎𝐋𝐈𝐃 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞𝐬 the backbone of object-oriented design: ➟ Single Responsibility - Classes should do one thing well ➟ Open/Closed - Open for extension, closed for modification ➟ Liskov Substitution - Subtypes must be substitutable for their base types ➟ Interface Segregation - Many specific interfaces beat one general interface ➟ Dependency Inversion - Depend on abstractions, not concrete implementations 5./ 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞 𝐨𝐟 𝐋𝐞𝐚𝐬𝐭 𝐀𝐬𝐭𝐨𝐧𝐢𝐬𝐡𝐦𝐞𝐧𝐭 ➟ Software should behave as users expect. ➟ Consistency in terminology, conventions, and error messages creates intuitive experiences. 6./ 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞 𝐨𝐟 𝐌𝐨𝐝𝐮𝐥𝐚𝐫𝐢𝐭𝐲 ➟ Well-defined, independent modules make systems easier to understand, maintain, and test. 7./ 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞 𝐨𝐟 𝐀𝐛𝐬𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧 ➟ Hide implementation details to reduce cognitive load. ➟ Users of your code shouldn't need to know how it works internally, just how to use it. 8./ 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞 𝐨𝐟 𝐄𝐧𝐜𝐚𝐩𝐬𝐮𝐥𝐚𝐭𝐢𝐨𝐧 ➟ Protect the internal state of objects from external manipulation. ➟ This creates more robust systems by preventing unexpected side effects. 9./ 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞 𝐨𝐟 𝐋𝐞𝐚𝐬𝐭 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 (𝐋𝐚𝐰 𝐨𝐟 𝐃𝐞𝐦𝐞𝐭𝐞𝐫) ➟ Components should have limited knowledge of other components. ➟ This "need-to-know basis" approach creates more modular, flexible systems. 10./ 𝐋𝐨𝐰 𝐂𝐨𝐮𝐩𝐥𝐢𝐧𝐠 & 𝐇𝐢𝐠𝐡 𝐂𝐨𝐡𝐞𝐬𝐢𝐨𝐧 ➟ Minimize dependencies between modules while ensuring each module has a clear, unified purpose. ➟ This balance makes systems more maintainable and adaptable. You’d probably agree, It's easy to nod along with design principles when reading them, but much harder to catch when drifting away from them in real code. That's where tools like CodeRabbit can be valuable. During pull requests, it identifies potential issues that developers might overlook, such as unnecessary complexity or signs of tight coupling, without being intrusive or slowing down the development process. Understand, these tools don't replace human judgment but provide an additional layer of verification that can help maintain code quality over time.👊 coderabbit.ai