DRY vs WET in Software Engineering: Finding the Balance

What is the actual "First Rule of Programming"? 🤔 If you ask 10 different developers, you will probably get 10 different answers. While there isn't an official constitution for us coders, here are the 4 unofficial rules we all live by: 1️⃣ The Rule of Survival 🧟♂️ 👉 "If it works, don't touch it." The ultimate mantra for legacy code. If you stumble upon a bizarre block of code that defies all logic but somehow keeps the entire app running... step away slowly. Fixing what isn't broken usually introduces 3 new bugs. 2️⃣ The Rule of Optimization 🏎️ 👉 "Don't do it." (Coined by Michael A. Jackson). Rule 1: Don't do it. Rule 2 (For experts only): Don't do it yet. Premature optimization is the root of all evil. Write clean, readable, and working code first. 3️⃣ The Practical Rule 🧠 👉 "Understand the problem before writing a single line of code." Jumping straight into your IDE without mapping out the logic usually leads to writing 500 lines of code you'll just have to delete later. Think first, type second. 4️⃣ The Modern-Day Reality 🤖 👉 "Google the error message (Or ask AI)." No engineer memorizes everything. The true skill in 2026 isn't knowing all the syntax by heart; it's knowing how to effectively search for the solution. Which one of these is your personal "First Rule"? Or do you have a different one? Let me know below! 👇 #SoftwareEngineering #DeveloperLife #Coding #TechCareers #WebDevelopment #ProgrammingHumor

Clean code vs clever code I’ve learned this the hard way. Clever code feels impressive when you write it. Clean code feels impressive months later. Early in my career, I tried to be clever — fewer lines, smart tricks, complex logic. It worked… until someone else had to read it. Sometimes that someone was me. What clever code usually does Looks smart at first glance Uses shortcuts and hacks Saves a few lines Confuses everyone later Clever code optimizes for the author. What clean code actually does Is easy to read Is easy to debug Is easy to extend Is easy to trust Clean code optimizes for the team and the future. What I choose today I don’t try to impress with code anymore. I try to make sure: The next developer understands it Bugs are easy to trace Changes don’t break everything Maintenance doesn’t become painful Simple logic beats smart tricks. One rule I follow If I have to explain the code, it’s probably too clever. Clean code isn’t about being basic. It’s about being professional. What do you value more — clean code or clever code? #CleanCode #SoftwareEngineering #BestPractices #CodeQuality #TechLeadership

The reluctance of software engineers to write documentation is a well-worn industry cliché. Some of that resistance is understandable — it’s tedious, it doesn’t ship features, and there’s a persistent belief that good code should explain itself. (Reflections about Chapter 6 of #HandsOn #SoftwareEngineering with #Python, available at https://lnkd.in/gRwyckDy) Maybe I’m a statistical fluke. Maybe I’ve just been burned often enough. Whatever the reason, I’ve come to see documentation as a stewardship responsibility. Here’s the test I keep coming back to: If I were new to this codebase — or returning to it after a long absence — could I safely add a feature, fix a bug, or refactor it using what’s written in the code itself? If the answer isn’t an immediate, unconditional “yes,” then the documentation isn’t done yet. The alternative is paying that cost later through interruptions, tribal knowledge, or avoidable mistakes. Self-documenting code helps explain what the code does. It rarely explains why it does it. That “why” often matters most when something goes wrong, or when constraints aren’t obvious from the implementation alone. Good documentation also acts as insurance: against turnover, against time, and against memory. Sometimes it’s as simple as a well-populated IDE help popup. Sometimes it’s the difference between confidence and fear when touching unfamiliar code. When documentation works, nobody notices.   When it fails, everybody pays. #DeveloperExperience #EngineeringLeadership #MaintainableCode

CLAUDE.md seems to be the best place to put instructions, coding standards, and context for Claude Code (a study by Vercel puts them in front of skills). I summarized how to get most out of it: 1. Split it — Use @imports to reference external files and keep things focused 2. Build it dynamically — Generate context at startup based on your current project state 3. Minify it — Strip whitespace and comments; Vercel saw up to 80% size reduction 4. Revise ruthlessly — As Boris Cherny (Claude Code's lead developer) advises: keep ruthlessly editing it over time Full text: https://lnkd.in/dvDM8GUW

The Moment I Realized Code Isn't Just "Making It Work" For a long time, I chased the Green Checkmark high. If the build passed and the feature was live, I moved on. I thought clean code was just for people with too much time on their hands. Then came the 6-Month Rule. I had to revisit a legacy project I’d built myself to fix a minor bug. I opened the repo and realized I didn't recognize my own logic. I’d built a working machine that was essentially a black box, even to its creator. I realized then that code isn't just instructions for a computer; it's a letter to the next developer. Usually, that developer is you. Why I stopped chasing "clever" and started chasing "clear". 1. Readability is the Real Performance: A clever one liner that takes an hour to decode is a bottleneck. I started writing code for humans first and compilers second. If the intent isn't obvious, the code is technically debt. 2. Architecture is the Product: I used to think folders and patterns were overhead. Now I know they are the foundation. Good architecture is what allows a product to breathe and pivot without shattering under its own weight. 3. The Logic Mindset: Frameworks and languages change every year. But the core principles like managing state and decoupling logic are universal. Once I mastered the "why," the "how" became easy. The biggest shift? My confidence didn't come from knowing every library by heart. It came from knowing that whatever I build today won't be a nightmare for someone else to fix tomorrow. Stop coding for the machine. Start engineering for the future. #SoftwareEngineering #CleanCode #DeveloperMindset #WebDev #TechCareer #BuildInPublic

Debugging legacy code at 11 PM. Found this comment from 2019: # I'm sorry. # I'm so, so sorry. # If you're reading this, it means you're trying to understand this function. # I wrote this at 3 AM after 6 cups of coffee. # Even I don't know what it does anymore. # Good luck. You'll need it. # - Dave, March 2019 The function? 187 lines. No tests. Pure chaos. The best part: There were replies in the comments from three different developers: # Dave, I hate you. - Sarah, June 2019 # Sarah, I understand why you hate Dave. - Mike, November 2020   # I give up. Rewriting this entire module. - Alex, April 2021 Plot twist: Alex never rewrote it. The function still runs in production today. Why I love this: Code isn't just logic. It's archaeology. Every comment is a message in a bottle from a developer who fought this same battle. My favorite code comments I've found: "This works. Don't touch it. I mean it." "TODO: Fix this properly" (written in 2017, still there) "If this code breaks, I'm probably on vacation. Sorry." "I was drunk when I wrote this. It works though." The comments that actually help: Not funny. Not apologetic. Just clear. "This loops twice because the API returns duplicates" "Cache for 5 minutes to avoid rate limits" "Database connection timeout increased after incident #147" Future you needs context, not humor. (Though humor helps at 11 PM) What's the funniest or most helpful code comment you've found? Share it. Make someone's day. #Programming #CodeComments #DeveloperHumor #LegacyCode

💡 The No-BS Guide to Mastering Clean Code Writing code that just works is one thing — writing code that’s clean, readable, and maintainable is what separates good developers from great ones. In this guide, I break down: ✔ What clean code really means ✔ Practical principles you can apply today ✔ Real examples that will transform how you write software Whether you’re a beginner or experienced engineer, mastering clean code will make your life easier and your team happier. 👉 Read the full article here: 🔗 https://lnkd.in/d2M-d5Z8 💬 What’s one clean code habit you can’t live without? Share below! #CleanCode #SoftwareDevelopment #CodingBestPractices #Programming #DevLife #CodeQuality #TechCommunity

🛑 Stop naming your variables "data" – Your future self is begging you. In my series on 10 Essential Habits for Developers, habit #6 is often the most underrated yet the most impactful: Meaningful Naming. We spend 10x more time reading code than writing it. When we use vague names, we aren't just saving a few keystrokes; we are creating "technical debt" in the brain of the next person who reads our work. 💡 Why does it matter? Code should be self-documenting. If you need a comment to explain what a variable holds or what a function does, the name has already failed. ✅ The "Meaningful Naming" Checklist: Be Specific, Not Generic: Swap names like handle(), process(), or info for descriptive ones like validateUserEmail() or monthlyRevenue. Booleans as Questions: Use prefixes like is, has, or should. if (isEnabled) reads like a sentence; if (status) is a puzzle. Functions are Actions: Use strong verbs. Instead of user(), use fetchUser() or saveUserCredentials(). Avoid "Magic Numbers": Never leave a raw number like 86400 in your code. Assign it to a constant like SECONDS_IN_A_DAY. 🚩 The Transformation: ❌ Bad: const d = new Date(); // current date ✅ Good: const currentDate = new Date(); ❌ Bad: function check(u) { ... } ✅ Good: function isAccountActive(user) { ... } The Golden Rule: Write your code as if the person who has to maintain it is a violent psychopath who knows where you live. Keep it clean, keep it meaningful. What’s the worst variable name you’ve ever encountered in a legacy codebase? Let’s hear your horror stories in the comments! 👇 #CleanCode #SoftwareDevelopment #CodingHabits #Programming #WebDev #TechTips

👨💻 𝗧𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝗿𝘂𝗹𝗲 𝗼𝗳 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴: 𝗜𝗳 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀, 𝗱𝗼𝗻’𝘁 𝘁𝗼𝘂𝗰𝗵 𝗶𝘁. Every developer has learned this lesson the hard way. You spot a “𝘀𝗺𝗮𝗹𝗹 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁”, make a 𝘁𝗶𝗻𝘆 𝗿𝗲𝗳𝗮𝗰𝘁𝗼𝗿, and suddenly…  • A stable system breaks  • Bugs appear from nowhere  • You spend hours debugging code that worked perfectly yesterday This is why experienced developers:  • Respect 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗰𝗼𝗱𝗲  • Refactor with 𝗰𝗹𝗲𝗮𝗿 𝗶𝗻𝘁𝗲𝗻𝘁, not curiosity  • Rely on tests before touching critical logic Progress isn’t about changing everything. It’s about knowing 𝘄𝗵𝗮𝘁 𝗡𝗢𝗧 𝘁𝗼 𝗰𝗵𝗮𝗻𝗴𝗲. 😄 If this made you smile, you’ve been there. 👉 What’s the smallest “fix” that caused your biggest debugging session? #ProgrammingHumor #DeveloperLife #Coding #SoftwareEngineering #TechLife #MERNStack

Clean Code: 7 Principles I Keep Coming Back To There are books you read once, and books you revisit. Robert C. Martin's Clean Code lives permanently on my desk—still teaching me years later. Here are the principles I most frequently need to remind myself of: 1. Meaningful Names Tell the Story Names should reveal intent, not obscure it. If I need a comment to explain what something does, I've already failed. Good names turn code into well-structured prose rather than a cryptic puzzle. 2. Functions Do One Thing The number one smell in PR reviews: functions doing too much. If I can't explain what a function does in one sentence, it needs splitting. Single-responsibility functions are easier to test, name, and reuse. 3. Comments Are Often Apologies I've written thousands of comment-apologies. The best comment is the one I didn't need—because the code explains itself. Most comments compensate for poor naming or unclear structure. Fix the root cause. 4. The Boy Scout Rule "Leave the campground cleaner than you found it." Every time I touch a file, I make one small improvement. Rename a variable. Extract a method. Remove a dead comment. Small wins compound. 5. Error Handling Belongs at the Boundaries Mixing error handling with business logic obscures the happy path. Push errors to the edges. Let core logic read like a straight line. 6. Formatting Reveals Structure Consistency isn't vanity—it's cognitive offloading. When formatting is predictable, readers focus on *what* the code does, not deciphering its shape. 7. Tests Are First-Class Citizens Code without tests is speculation. If tests are hard to write, the design is wrong. That's feedback, not coincidence. 💡 What I Keep Learning: Clean code is about respect—for my future self debugging at 3 AM, for teammates who need to understand my intent, and for the craft itself. Every time I choose clarity over cleverness, I'm paying down tomorrow's technical debt. I'm curious: - Which principle do you most need to relearn? - What smell appears most in your PR reviews? Drop your thoughts below. #CleanCode #SoftwareCraftsmanship #CodeQuality #Programming #BestPractices #SoftwareEngineering #Developer #TechLeadership