How to Strengthen Software Developer Skills

🔍𝗔𝗜 𝗶𝗻 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 - 𝗦𝗸𝗶𝗹𝗹 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗼𝗿 𝗼𝗿 𝗦𝗸𝗶𝗹𝗹 𝗖𝗿𝘂𝘁𝗰𝗵? After 18 years in the software industry, working closely with many engineers (especially junior and mid-level engineers), I’ve always been cautiously optimistic about AI. But I’ve always had a concern: 👉 If AI is used carelessly, it may reduce real learning instead of accelerating it. Today, I found strong evidence supporting that intuition - not just from experience, but from rigorous research by Anthropic: 📌 AI Assistance Can Impair Learning (Coding Skills Study) https://lnkd.in/gygkb_CY 🧠 𝗞𝗲𝘆 𝗙𝗶𝗻𝗱𝗶𝗻𝗴𝘀 Anthropic studied developers solving a coding task while learning a new library. Here’s what they found: -> Developers using AI finished slightly faster -> But their understanding was significantly weaker 📉 In a follow-up mastery quiz, AI-assisted developers scored ~17% lower than those who coded without AI. Even more interesting: 🔍The biggest skill gap was in debugging + comprehension - the exact skills required to build robust, maintainable software and to understand why something works (or breaks). 💡 𝗧𝗵𝗲 𝗠𝗼𝘀𝘁 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗜𝗻𝘀𝗶𝗴𝗵𝘁 Not all AI usage harms learning. The study showed a clear difference between two groups: Passive AI Users: - copy/paste code - accept suggestions blindly - treat AI as an auto-complete machine Active AI Learners: - ask “why?” - request explanations - explore alternatives - validate with their own reasoning And guess what? Active AI learners performed much better. 🚀 𝗪𝗵𝗮𝘁 𝗧𝗵𝗶𝘀 𝗠𝗲𝗮𝗻𝘀 𝗳𝗼𝗿 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 AI is not a shortcut to expertise. It can make you faster, but speed without understanding is risky. To thrive in the AI era: 1. Strengthen fundamentals (CS basics, design, debugging) 2. Use AI intentionally - like a mentor, not an auto-complete tool 3. Focus on deep understanding and engineering judgment 🎯 👥 𝗪𝗵𝗮𝘁 𝗧𝗵𝗶𝘀 𝗠𝗲𝗮𝗻𝘀 𝗙𝗼𝗿 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗠𝗮𝗻𝗮𝗴𝗲𝗿𝘀 Don’t just encourage AI usage. Encourage structured learning with AI. Build cultures where engineers: - question AI outputs - explain decisions - learn deliberately - debug deeply instead of patching quickly Because the future belongs to engineers who can do both: 🚀 Move fast with AI 🧠 Think deeply without it #SoftwareEngineering #AI #DeveloperSkills #Leadership #Learning

Want to land a software engineer job in the next 3 months? Here is what you need to focus on! I know we have applied to thousands of roles and are still not moving forward to an interview or an offer. Here is a smart strategy to help you stand out. This is how it actually works: 1. Start building strong projects: Create at least one impactful project that showcases your skills. Post your projects on GitHub & LinkedIn to show real-world problem-solving skills. 2. Master data structures & algorithms (but don’t overdo it): Spend 2-3 hours daily on LeetCode or HackerRank. Focus on improving your problem-solving skills & learn to communicate your thought process clearly in interviews. 3. Revamp your resume & LinkedIn profile: Your resume should highlight impact, not just a task list. Add quantifiable achievements, skills, internships, and projects that showcase real skills. Create visibility by optimizing LinkedIn by starting to regularly post about your projects & learnings. 4. Network with purpose: Reach out to alumni and industry professionals for insights and career guidance. Engage in tech communities, virtual meetups, and LinkedIn webinars to build genuine connections. Be thoughtful when requesting referrals, focus on adding value, not just asking for help. 5. Practice mock interviews regularly: Set up weekly coding & system design interviews with peers or mentors. Prepare for behavioral interviews, your communication equally matters as much as your coding skills. Record your practice sessions to improve your responses. Finally, your action plan: Pick one major project to complete within the next 4-6 weeks. Dedicate consistent daily time for coding, mock interviews, networking, and learning. Keep applying strategically while improving your skills. The next 90 days can shape your career!! What is the first step you are taking today? Drop it in the comments! 👇 Follow Lakshmi & Everyone Who Codes (EWC) for daily tech job updates, career insights, and the latest opportunities! Everyone Who Codes (EWC) has a simple mission: to guide engineers to find a job! DM me for any questions or mentoring support! #softwareengineer #softwaredeveloper #jobsearch #jobs #layoff #interview #newgrads #hiring #hiringalert #internship #jobsearch #engineering ------------------------------------------------------------------------------------ 🙋♀️ I am Lakshmi Marikumar, founder of Everyone Who Codes (EWC), I have guided over 1000+ engineers!

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.

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 post will give you the best advice on coding I’ve learned after coding continuously for 3652+ days (and all you need to do is just spend 3 minutes reading) 1️⃣ Pick one tech stack Jumping between languages and frameworks slows your progress. Master one stack first (e.g., Python + Flask, JavaScript + React, Java + Spring Boot). Build projects using that stack instead of doing endless tutorials. Real-world coding teaches more than theoretical learning. If you're struggling to pick one, go with JavaScript (React for frontend, Node.js for backend) or Python (Django/Flask), both are in high demand. 2️⃣ Learn DSA (but don’t overdo it) Focus on the core concepts: arrays, linked lists, trees, graphs, stack, dynamic programming, and recursion. Competitive programming is not a requirement for becoming a great developer, building and understanding scalable systems is more important. Solve 100-150 LeetCode problems max. After that, shift to system design and hands-on projects. Prioritize real-world applications of algorithms rather than grinding for months. 3️⃣ Build & ship real projects early Tutorials give structured learning, but projects teach problem-solving and debugging. Choose a problem you care about and build something useful, whether it's a portfolio, a task manager, or a fun API. Start small: A simple CRUD app beats a half-finished AI project. Open-source contributions and hackathons can help bridge the gap between learning and real-world development. 4️⃣ Read documentation before asking for help Google,Stack Overflow, Docs are a developer’s best friends. Instead of asking, “Why isn’t my code working?”, debug by checking logs, error messages, and official docs. Being resourceful will make you stand out at work, senior devs value people who try before they ask. 5️⃣ Learn SQL & backend basics Most real-world apps need databases—knowing SQL, API development, and authentication is crucial. Even if you're focused on front end, learning how data is stored, retrieved, and optimized will make you a 10x better engineer. Backend devs: Learn PostgreSQL or MongoDB + an API framework like Express.js (Node), Flask (Python), or Spring Boot (Java). Try building a full-stack project to see how the frontend and backend connect. 6️⃣ Learn how to debug Debugging is 50% of real-world coding, not writing new features. Don’t randomly change code until it works. Use breakpoints, print statements, and logging tools to trace the issue. Understand stack traces, memory leaks, and database query performance, this will save you hours of frustration. Develop a habit of breaking problems down logically before diving into fixes. The best way to improve? Write more code, break things, and fix them. Do you agree?

𝐉𝐮𝐧𝐢𝐨𝐫 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬: 𝐈𝐟 𝐲𝐨𝐮 𝐚𝐫𝐞 𝐞𝐚𝐫𝐥𝐲 𝐢𝐧 𝐲𝐨𝐮𝐫 𝐣𝐨𝐮𝐫𝐧𝐞𝐲, 𝐑𝐞𝐚𝐝 𝐭𝐡𝐢𝐬 𝐧𝐨𝐰 𝐚𝐧𝐝 𝐦𝐨𝐯𝐞 𝐟𝐚𝐬𝐭𝐞𝐫 𝐰𝐢𝐭𝐡 𝐥𝐞𝐬𝐬 𝐬𝐭𝐫𝐞𝐬𝐬. (This guide will give you a clear direction whether you are finding an opportunity or already working) Remember: You are capable of doing more and learning more, however Busy work is not growth. Visible progress is growth. You can create it every day. => 𝐖𝐡𝐲 𝐭𝐡𝐢𝐬 𝐦𝐚𝐭𝐭𝐞𝐫𝐬 • 𝐒𝐢𝐠𝐧𝐚𝐥 𝐨𝐯𝐞𝐫 𝐧𝐨𝐢𝐬𝐞 → one task finished completely is worth more than many half finished • 𝐓𝐫𝐮𝐬𝐭 → steady small wins make people rely on you • 𝐌𝐨𝐦𝐞𝐧𝐭𝐮𝐦 → tiny steps grow into real skill => 𝐃𝐚𝐢𝐥𝐲 𝐜𝐡𝐞𝐜𝐤𝐥𝐢𝐬𝐭 𝐭𝐡𝐚𝐭 𝐜𝐨𝐦𝐩𝐨𝐮𝐧𝐝𝐬 • 𝐂𝐨𝐝𝐞 𝐨𝐧𝐞 𝐬𝐦𝐚𝐥𝐥 𝐭𝐡𝐢𝐧𝐠 → close one pull request end to end with one test and a short note • 𝐃𝐞𝐛𝐮𝐠 𝐬𝐦𝐚𝐫𝐭 → write what you tried what failed what you will try next • 𝐋𝐞𝐚𝐫𝐧 𝐨𝐧𝐞 𝐜𝐨𝐧𝐜𝐞𝐩𝐭 → for example big O for your hot function or how your service starts • 𝐃𝐨𝐜 𝐚𝐧𝐝 𝐬𝐡𝐨𝐰 → share a screenshot sample input and output or a before and after diff => 𝐖𝐞𝐞𝐤𝐥𝐲 𝐩𝐥𝐚𝐧 𝐭𝐡𝐚𝐭 𝐛𝐮𝐢𝐥𝐝𝐬 𝐬𝐞𝐧𝐬𝐞 • 𝐑𝐞𝐟𝐚𝐜𝐭𝐨𝐫 𝐬𝐚𝐟𝐞𝐥𝐲 → small rename small extract function write a test then merge • 𝐑𝐞𝐚𝐝 𝐫𝐞𝐚𝐥 𝐜𝐨𝐝𝐞 → pick one mature file in your repo and annotate it line by line • 𝐓𝐨𝐮𝐜𝐡 𝐭𝐡𝐞 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞 → fix one flaky check or add a clear log that helps future you • 𝐒𝐡𝐢𝐩 𝐚 𝐦𝐢𝐜𝐫𝐨 𝐝𝐞𝐦𝐨 → a sixty second screen record that proves the change works => 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐬𝐤 𝐟𝐨𝐫 𝐡𝐞𝐥𝐩 𝐰𝐢𝐭𝐡 𝐫𝐞𝐬𝐩𝐞𝐜𝐭 • 𝐂𝐨𝐧𝐭𝐞𝐱𝐭 → what you are building and why • 𝐒𝐭𝐚𝐭𝐞 → what works what fails logs and inputs • 𝐍𝐞𝐱𝐭 → where you will look if no one replies This turns mentors into allies because you did the thinking first. => 𝐖𝐡𝐚𝐭 𝐭𝐨 𝐬𝐭𝐨𝐩 𝐝𝐨𝐢𝐧𝐠 • 𝐒𝐭𝐨𝐩 𝐜𝐡𝐚𝐬𝐢𝐧𝐠 𝐭𝐨𝐨 𝐦𝐚𝐧𝐲 𝐭𝐨𝐨𝐥𝐬 → pick one stack and get fluent • 𝐒𝐭𝐨𝐩 𝐡𝐢𝐝𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐰𝐨𝐫𝐤 → if no one sees it it did not happen • 𝐒𝐭𝐨𝐩 𝐬𝐢𝐥𝐞𝐧𝐭 𝐬𝐭𝐫𝐮𝐠𝐠𝐥𝐞𝐬 → ask early with proof of effort => 𝐎𝐧𝐞 𝐭𝐡𝐢𝐧𝐠 𝐭𝐨𝐝𝐚𝐲 Pick one bug or one tiny feature finish it completely record a sixty second demo and share it. That single habit changes careers. ✨ What is the one small win you will ship today Tell me and I will cheer you on. Follow for more Hamza Ullah #JuniorDevelopers #SoftwareEngineering

If I were to keep my coding skills from going obsolete, here’s what I’d do: 1. Build with Real Models (and put them on your resume): - Experiment with Semantic Kernel + AutoGen → compose multi-agent workflows (planner + executor + verifier). https://lnkd.in/gJ9sps_H | https://lnkd.in/grAFD_69 - Run a lightweight LLM on-prem: use llama.cpp or Mistral-7B quantized to 4-bit. Learn GPU/CPU inference trade-offs, memory footprints, and batching. https://lnkd.in/gRpSyPWu | https://mistral.ai/ - Automate unit test generation with Copilot + Foundry pipelines. 2. Strengthen AI Foundations: - Earn the Azure AI Engineer Associate cert to understand LLM deployment, vector search, and RAG patterns. https://lnkd.in/g3gU8rgM - Learn prompt engineering: few-shot, chain-of-thought, and tool-augmented prompting. - Track agent research like SE 3.0: The Rise of AI Teammates — PR acceptance rates today are Codex 64%, Devin 49%, Copilot 35%. https://lnkd.in/gNpSVDJz 3. Invest in Hard-to-Automate Skills (primary topic for interviews these days): - System design: latency budgets, sharding strategies, CAP trade-offs. - Architecture patterns: event-driven systems, microservices vs. monoliths, observability. - Code reviews: validating AI-authored diffs for performance regressions and security issues. 4. Adopt AI-First Workflows: - Enable GitHub Copilot + Agent Mode → it can parse your entire repo, plan fixes, generate code, run tests, and open draft PRs. Develop with SWE agents. - Use Azure AI Foundry codex-mini → a compact model optimized for low-latency code completion and multi-agent orchestration. 5. Share & Scale Knowledge: - Open-source agent prototypes, publish benchmarks (latency, cost, accuracy). - Document real experiments with LLMs + DevOps pipelines for others to learn from. Combine AI-powered coding, model literacy, and deep system skills to become an AI-augmented engineer instead of an obsolete one.