Code Quality Tools: ESLint, Prettier, Ruff, and gofmt

Clean Code vs Messy Code As developers, writing code that works is just the beginning... writing code that’s clean, scalable, and maintainable is what truly sets you apart. Here’s what I’ve learned while working with Django: Write code not just for the machine, but for humans too. Your future self (and teammates) will thank you! Good developers write code that runs. Great developers write code that others can easily read, maintain, and scale. What’s one habit that improved your code quality? 👇 #Django #Python #CleanCode #WebDevelopment #BackendDevelopment #SoftwareEngineering

Coding agents generate code like there is no tomorrow. Soon enough, they struggle under the weight of what they created. AI writes a new helper instead of reusing an existing one. Old functions stay around because tests still call them, even though production does not. The codebase grows, but the agent's ability to reason about it does not. On bigger projects, especially ones that have been heavily vibe-coded, this turns into chaos. The problem is not just messy code. It is slower reviews, weaker trust in the codebase, and agents that get less reliable as the surface area grows. We have put a lot of energy into making code generation faster. I think the next thing to get right is safe code removal. There is a reason senior engineers get excited about deleting code. It is a bit like never throwing away clothes you no longer wear. It seems fine at first. Then one day, you have five versions of everything, and finding what you actually need means digging through closets you forgot existed. I built a Claude Code skill to help with this. It gives Claude a methodology for dead code removal: classify what you are looking at, verify the cases static tools miss, and avoid drifting into refactor territory while you are in there. It is tuned for Python and TypeScript, but should be easy to adapt. Clone it, fork it, open a PR if you improve it. https://lnkd.in/ds5AcC5U #CodingAgents #CodeQuality

Plot Twist: Popularity Won the Day 🐍 Remember my post from yesterday about the "Ruby way" and that 66-second deploy? Well... we’re going with Python. I won’t lie — I’m disappointed. I showed the team how much faster and easier our workflow could be with Ruby, but in the end, the vote went to what’s "familiar" and "on everyone’s radar." With a mix of PHP developers, JS coders, and analysts in our group, Python became the safe common denominator. They're not even very familiar with Python. They've only heard of it before and know it's a popular language. I just went with the majority. In team-based development, everyone needs to feel comfortable with the stack, even if you’re convinced there’s a more efficient tool for the job. My takeaway as a CS educator: One cool demo isn't enough to change minds. If a great tool feels "scary" or "exotic" just because people haven't tried it yet— that’s a challenge for me to solve. I'm considering creating a "soft landing" for Ruby newcomers. I want to make the entry point so smooth that next time our choice is based on the tool's capabilities, not just its popularity. The Ruby battle was lost this time, but my drive to share great tech has only grown. #Ruby #Python #RubyOnRails #TechStack #Coding

🚀 A Major Update is Coming to CodeAlive (Live in 3–4 Days!) I honestly started CodeAlive as a small platform with a simple goal in mind — to let my code snippets live over the internet with support for custom sharable links. But seeing how far it has come now, evolving into a platform with so many useful and smart features for everyone, has been incredibly exciting. 🌐 CodeAlive – https://lnkd.in/gnthhf_b 👉 Also, you can click "View My Website" on my profile to visit the platform. What’s Coming Next ⏭️ CodeAlive is soon introducing: **Multi-Language Detection & Highlighting in a Single Code File** Problem: Almost every code-sharing platforms and online editors are built around one assumption: 1 File = 1 Language But real-world development is rarely that simple. Developers often share: ✅ Frontend + Backend snippets together ✅ Embedded scripts/styles ✅ Configurations with code ✅ Multi-language examples in one paste And when platforms force a single language highlight, readability suffers. With This New Update, CodeAlive Will Support ✅ Detecting multiple languages within one pasted code file ✅ Highlighting different sections based on actual context/language ✅ Making mixed-language snippets cleaner, smarter, and easier to read This has been one of the most exciting features to work on so far, and I can’t wait to share the full implementation details once it officially goes live. 📅 Expected Release: 3–4 Days Stay tuned 👀 More technical insights coming soon... #CodeAlive #BuildInPublic #Programming #SoftwareDevelopment #DeveloperTools #WebDevelopment #Python #JavaScript #StartupJourney

I hit 1,000 followers and 10,000 reads on Medium. Still can't believe I'm typing this. I didn't start writing for numbers. I started because I'm a backend engineer who kept solving the same problems; Django migrations breaking production, ORMs nobody understood, and project structures that fall apart under real traffic. I thought, "Someone should write this down." So I did. That turned into: → A 12-part Django Production Blueprint series → Deep dives into Django internals → Articles on FastAPI, system design, and real production war stories March 2026 happened: 📊 24,000 views 📖 11,400 reads 👥 +179 followers 📬 +121 email subscribers ⭐ First article to hit 100 fans But the numbers aren't the real story. Swipe through the real story is in the messages. And to every person who commented and isn't shown in this carousel, I read every single one. Your words pushed me to write the next article. You are part of this. And to every silent reader: you never commented, never clapped; you just read quietly and went back to work. I see you in the numbers. 11,400 reads. Most of you never said a word. But you came, you learned, and you built something better. This milestone is yours. All of you. The ones who comment. The ones who share. The ones who read in silence. I'm not slowing down. The mission stays the same: "I break down complex systems so you can build them better." Here's to the next 1,000. Anas Issath : https://lnkd.in/gsMjiBkv #Medium #TechnicalWriting #Django #Python #BackendDevelopment #SoftwareEngineering #Milestone #BuildInPublic #Community #WebDevelopment #100DaysOfCode

"Coding is easy... Debugging is dangerous." 😅 We’ve all been there. During my early days of learning to code, I once spent 2 solid hours pulling my hair out over a program that just wouldn't run. I checked the loops, scrutinized the syntax, and even completely rewrote the entire code from scratch. The result? The exact same error. The culprit? A single, missing semicolon. ; It’s these frustrating, beginner-level debugging moments that truly teach us patience and attention to detail. Today, as a Full Stack Developer building out applications with Python, Django, and React, I look back at that missing semicolon as a right of passage. The tech stack may have changed, but the lesson remains the same: debugging isn't just about fixing code; it's about building resilience and problem-solving skills. I just dropped a quick YouTube short sharing this classic developer moment. Check it out here: 🔗 https://lnkd.in/gp_kyQXN What was your most frustrating "missing semicolon" or tiny bug moment that took hours to find? Let's hear your debugging horror stories in the comments! 👇 #WebDevelopment #PythonDeveloper #FullStackDeveloper #CodingLife #Debugging #SoftwareEngineering #ReactJS #TechJourney #ChennaiTech

Ever heard of function composition? It's like stacking functions together to create new ones! 🎉 Imagine transforming data in a seamless flow, just like a chain reaction. For instance, let's say you have an array of numbers and you want to double them and then add one. Instead of writing multiple loops, we can compose functions to simplify our code. Exciting, right? 😄 Have you ever used function composition in your projects? How did it change the way you write code? #JavaScript #Coding #FunctionComposition #WebDevelopment #ProgrammingTips

1,076 commits in TypeScript. 635 commits in Python. Same team. Same product. Same year. --- I work on two completely different backends every day. Morning: TypeScript + NestJS — the platform that lets teams at Deel build Slack apps. Afternoon: Python + Django — the legacy backend with 9 running plugins, real users, live data. When I started, switching between them felt like context-switching between two jobs. Now it doesn't. Here's what changed: I stopped thinking in languages. I started thinking in patterns. Dependency injection in NestJS? Same concept as Django's middleware pipeline. Sequelize migrations? Same mental model as Django ORM — just different syntax. NATS consumers? Same pub/sub pattern you'd implement in any event-driven system. The patterns don't care what language you're in. They care about the problem you're solving. Once I understood that — really understood it — switching stacks became as natural as switching between different parts of the same system. Because that's exactly what it is. AI tools helped accelerate this. Not by writing the code — but by letting me ask questions across contexts. "Explain how Django's middleware chain works" when I haven't touched it in two weeks. "Trace this NATS consumer from event to handler" before I start debugging. The pattern is the same in both stacks. AI helps me find it faster. The most dangerous label in engineering: "I'm a [language] developer." It limits what you'll pick up. It limits what you'll contribute to. It limits what you'll learn. Your stack is a tool. The problem is the job. What's a pattern you learned in one stack that completely changed how you think in another? #BackendEngineering #SoftwareEngineering #Python #TypeScript #CareerGrowth

Got back into building after a short break. Something interesting I’ve been noticing while working across frontend and backend: On the frontend, you notice when something feels off.   On the backend, you understand why it happens. Even small things like data shape or response timing can completely change how an interface behaves. Exploring backend with Python has made me pay more attention to these details. It’s less about adding more tech,   and more about understanding how everything connects. #SoftwareEngineering #FrontendDeveloper #BackendDevelopment #WebDevelopment

Most beginner backend projects die in refactoring. Here's the structure I use to prevent that. When I built my Task Manager CLI, I learned this the hard way — a monolithic file that worked until it very much didn't. After refactoring, here's the structure I now start with: Before writing a single line: → Define your data model first → Identify all operations (CRUD) you'll need → Map inputs, outputs, and error states While building: → One module per concern (routes, models, utils, exceptions) → Validate inputs at the boundary — not deep inside logic → Handle errors explicitly — no silent failures Before shipping: → Test the unhappy paths, not just the happy ones → Read your own code like a stranger would This approach reduced my debugging effort by 40% on a real project. It works at any scale — from a CLI tool to a FastAPI service. What's the first thing you do when starting a new backend project? #BackendDevelopment #Python #FastAPI #SoftwareEngineering #CodingTips