Building API Chain Runner in Public

𝐎𝐟𝐟𝐢𝐜𝐢𝐚𝐥𝐥𝐲 𝐚 𝐃𝐚𝐭𝐚 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐬 & 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬 𝐒𝐭𝐮𝐝𝐞𝐧𝐭: 𝐓𝐡𝐞 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 𝐭𝐨 𝐁𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐚 𝐒𝐞𝐧𝐢𝐨𝐫 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 🚀 It's been about five months since my last post here. I've been heads-down on a contract project and it took up most of my bandwidth. During that time, something became very clear to me. I noticed it's not just about building a product. Anyone can build something that works. The real challenge is building something that's fast, efficient, and scales especially when that product starts serving millions then billions of users. As a Softwrar engineer, understanding the deep technical side of what you build is very important and honestly one of the things that truly qualifies you as one. I want to fully understand what's happening under the hood of everything I build, the trade-offs, the decisions, the why behind every approach. That depth is what separates engineers who build things from engineers who build things that actually last under real pressure. That's what led me here. 𝗜'𝘃𝗲 𝗼𝗳𝗳𝗶𝗰𝗶𝗮𝗹𝗹𝘆 𝘀𝘁𝗮𝗿𝘁𝗲𝗱 𝗮 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗗𝗦𝗔 𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗰𝗼𝘃𝗲𝗿𝗶𝗻𝗴: 🔸 Problem-solving techniques, greedy algorithms, divide and conquer, dynamic programming and time complexity analysis 🔹 Core data structures including arrays, linked lists, stacks, queues, trees and heaps 🔺 Graph algorithms covering BFS, DFS and path and network problems 🔸 String algorithms focused on efficient processing and pattern matching 🔹 Advanced algorithms and complexity around optimization and computational limits 🔺Genome Assembly challenge for practical problem-driven application Alongside the coursework, I will be practicing consistently on LeetCode to sharpen not just how I code but how I think through problems. As a Python/Django backend developer, this is one of the most intentional investments I've making in my growth. The engineers I look up to don't just build. They understand deeply, think efficiently and write code that scales. Let's go. 🚀 #DSA #DataStructures #Algorithms #BackendDevelopment #Python #SoftwareEngineering #LeetCode #ContinuousLearning #SeniorEngineer

🚨 Most developers don’t fail because of lack of skill… They fail because of lack of consistency and clarity. --- You know the basics. You understand the logic. You’ve watched the tutorials. Still… growth feels stuck. --- A developer kept jumping: React → .NET → Python → AI → back to basics Always learning. Never mastering. Months passed. No real progress. --- Another developer picked one stack. Stayed consistent. Built projects. Fixed bugs. Improved daily. Slow growth… but real growth. --- Lesson: - Skills are easy to learn - Consistency is hard to maintain - Focus creates mastery --- 💡 Truth: You don’t need more tutorials. You need more execution. --- ❓ Are you learning more… or building more? #Developers #TechCareer #Consistency #Coding #Learning #Growth #Mindset

There's always something new in tech: frameworks updating, tools launching, languages shifting 🔄. Keeping up is hard, and filtering the signal from noise takes time ⚡. Every week we pick a few things that caught our attention this week nothing long, just short notes on what has interested us in tools, libraries, and trends 🗂️. 🟡 Anthropic has introduced “Routines” for Claude Code a research preview feature hosted on Anthropic’s cloud infrastructure. A routine combines a saved prompt, one or more repositories, and a set of connectors, and can run automatically on a schedule, via API calls, or in response to GitHub events. Since it is still in research preview, its behavior, limits, and API may change before reaching stability. 🔗 https://shorturl.at/lCMc5 🟡 A concise retrospective explores the evolution of the C/C++ language family. It traces C’s origins in B and BCPL, the introduction of generics in C++, Java, and C#, and how languages such as JavaScript and Python adopted C-style curly-brace syntax. It serves as a reminder that modern programming languages are the result of decades of incremental design decisions. 🔗 https://shorturl.at/ea5mI 🟡 The TIOBE Index recently ranked Rust at its highest-ever position of #13 in early 2026, although it has since declined from that peak. While some critics argue that Rust has not broken into the top 10 as predicted, others note that TIOBE measures search engine interest rather than production usage, which may underestimate Rust’s real-world adoption, particularly in systems programming where it remains widely used. 🔗 https://shorturl.at/GfYR2 Stay tuned for the next update 🔄. We share new notes every week 📅 to keep you connected with what’s happening in the tech world 💻✨. #DigitalWorld #TechInsights #FutureTech #CuttingEdge #TechUpdates #GlobalTech #TechCommunity #BreakingNews #ITInsights #StayUpdated #DigitalTransformation #EmergingTech #InnovativeIdeas #DevTactics #CodingLife #DevCommunity #SoftwareEngineering #ProgrammingTips #OpenSource #WebDevelopment #AIInTech #DevTools #SecureCoding #Developer #Programmer #TechStack #DevLife

One thing I wish someone told me earlier in my career as a developer 🚀 The best engineers I've met don't have superhuman memory. They don't remember every syntax. They don't have every API stored in their head. They don't know every edge case before it happens. What they do have is something far more valuable: They know how to think. They break big problems into small ones. They read documentation without panicking. They debug with patience, not frustration. And when they don't know something — they say it out loud without shame. That's the real skill nobody talks about. Programming was never a memorization contest. It's a thinking sport. After years in this field, my daily work still looks like this: → Search → Read → Test → Learn → Repeat AI tools have made us faster. But they haven't changed what matters most — your ability to understand the problem and make the right decision. The developer who asks "why does this work?" will always outlast the one who just copies the answer. Keep thinking. Keep building. 💛 #SoftwareDevelopment #Programming #CodingLife #TechCareer #DeveloperMindset #SeniorDeveloper #WebDevelopment #CodeNewbie #LearnToCode #TechCommunity #CareerGrowth #SoftwareEngineer #AITools #ProblemSolving #GrowthMindset #LinkedInTech

Jack of all trades or Master of one? 🤔 Early in your tech journey, it’s tempting to learn the "Hello World" of 10 different languages. But here’s the truth: Depth beats breadth every single time. Why specializing in one ecosystem (like React or Python) is a game-changer: 🚀 Production Ready: Companies don’t hire you for syntax; they hire you to build products. Mastering one language’s libraries and frameworks makes you job-ready, fast. 🧠 Logic > Syntax: Once you master the logic in one language, switching to another is just a weekend of learning new keywords. The core "thinking" stays the same. ⚡ Bye-bye Burnout: Constant context-switching between languages slows you down. Deep diving into one stack builds the "muscle memory" needed to debug errors in seconds, not hours. My advice? Don't be a beginner at five things. Be an expert at one. Market rewards specialists, not tourists. What’s your take? Is it better to be a generalist or a specialist in 2026? 💡 #Programming #CareerGrowth #WebDev #SoftwareEngineering #TechTips #DeepWork

🚀 Backend Learning | Designing Idempotent APIs for Reliable Systems While working on backend systems, I recently explored an important concept — Idempotency in APIs. 🔹 The Problem: • Duplicate API requests due to retries or network issues • Risk of creating duplicate records (e.g., multiple payments/orders) • Inconsistent system state 🔹 What I Learned & Applied: • Designed APIs to be idempotent — same request gives same result • Used unique request identifiers (Idempotency Keys) • Ensured duplicate requests don’t create duplicate operations • Handled retries safely without impacting data integrity 🔹 Outcome: • Prevented duplicate data creation • Improved system reliability • Safer API behavior in real-world scenarios 🔹 Learning & Growth: • Understood importance of idempotency in distributed systems • Learned how APIs should behave under retries • Improved backend design for reliability and consistency Reliable systems are not just fast — they are consistent and safe under failures. 🚀 #Java #SpringBoot #BackendDevelopment #SystemDesign #APIDesign #LearningInPublic

🚀 Why Elixir is Worth Learning in 2026 As developers, we often stick to familiar stacks like Node.js or Python. But if you're aiming to stand out and work on high-performance systems, Elixir is a powerful option to consider. --- 🔑 Key Features of Elixir ⚡ Concurrency & Scalability Built on the Erlang VM (BEAM), Elixir can handle thousands to millions of lightweight processes efficiently — ideal for real-time systems. 🔄 Fault Tolerance Elixir follows a “let it crash” philosophy, ensuring systems recover automatically without affecting overall performance. 🔥 Phoenix Framework A fast, modern framework that supports real-time features like WebSockets and LiveView out of the box. 🧠 Functional Programming Immutable data and pure functions lead to more predictable and maintainable code. 📡 Real-Time Applications Perfect for chat apps, dashboards, notifications, and live updates without heavy frontend complexity. --- 🤔 Why Learn Elixir? - Build scalable and distributed systems - Handle real-time data efficiently - Differentiate yourself in a competitive market - Gain deeper understanding of system design --- 📊 Market Demand While Elixir demand is smaller compared to mainstream technologies, it’s a high-value niche skill. Companies using Elixir include: - Discord - Pinterest - Bleacher Report 💰 Fewer developers → Less competition → Better compensation in specialized roles --- 👍 Pros ✔ High performance & scalability ✔ Built-in fault tolerance ✔ Clean and maintainable code ✔ Strong for real-time systems --- 👎 Cons ❌ Smaller ecosystem ❌ Limited job opportunities for beginners ❌ Functional programming learning curve ❌ Fewer libraries than JavaScript ecosystem --- 🧠 Final Take If you're already working with backend technologies, Elixir can be a great addition to your skill set — especially for building scalable, real-time applications. It’s not for everyone, but for the right use case, it’s incredibly powerful. --- 💬 What’s your take on niche technologies like Elixir — worth learning or not? #Elixir #BackendDevelopment #SoftwareEngineering #WebDevelopment #TechGrowth #Developers #Programming

I wasted a lot of time when I started learning to code. Not because I didn’t work hard… But because I was focusing on the wrong things. Here are a few mistakes I made as a beginner developer: 1️⃣ Learning everything… but building nothing I kept watching tutorials: React, Python, AI, APIs… But I wasn’t building real projects. 👉 I felt productive, but I wasn’t improving. What I learned: You don’t learn by consuming. You learn by struggling while building. 2️⃣ Trying to be perfect before starting I thought: “I’ll start building once I fully understand everything.” That day never came. What I learned: Clarity comes from action, not preparation. 3️⃣ Avoiding difficult problems Whenever I got stuck, I used to: • Skip it • Copy solutions • Move to something easier What I learned: Your growth is directly proportional to the problems you avoid. 4️⃣ Ignoring fundamentals I jumped into frameworks too quickly. React felt exciting. But my basics were weak. What I learned: Frameworks change. Fundamentals don’t. 5️⃣ Learning alone without feedback I wasn’t sharing my work. No feedback → No improvement. What I learned: Building in public accelerates growth. My biggest realization Consistency is important. But direction matters more than effort. You can spend months working hard… and still not move forward if you're doing the wrong things. If you're starting out: 👉 Build more than you watch 👉 Struggle more than you copy 👉 Share more than you hide Curious — What’s one mistake you made while learning to code? #Developers #LearningInPublic #Programming #CareerGrowth #SoftwareEngineering

If I could go back and start again as a software engineer, I would do almost everything differently.... I spent years watching endless tutorials, chasing every new framework and tool that came out, and building side projects that looked impressive on paper… but did not gave me real progress in my career. I had broad knowledge, but no depth. My self-confidence didn’t increase that much and I am always feeling behind even though I was learning constantly. The biggest gap? ☄️ No one ever taught me how to think as an engineer. I never understood why certain decisions were made, what the real alternatives were, or the consequences of choosing one technology over another. Instead, I jumped around: I learned Svelte for frontend, played with Data Science (Seaborn & NumPy), built APIs with NestJS, and picked up the basics of Java…, one after another all at the same time. I was learning “around” everything, but never deeply in one area. Here’s what I would do differently if I could restart today: ➡️Master the fundamentals first, then deliberately move from frontend → backend → infrastructure (like Kubernetes). ➡️ Stop trying to learn everything at once. Pick one thing, learn it deeply and well, then expand from there. ➡️ Stick to one project of your choice, focus on how component interacts with one another, and understanding the “why” behind architectural decisions, not just how to use the tools. ➡️Use AI to explain what you do not understand, not to code everything in your place ➡️ Communicate clearly: document what I’m learning, why I made certain choices, and share my reasoning openly. Younger me 🙍♂️ , if you’re reading this: breadth feels productive, but depth is what actually make you a better engineer. --- What’s one thing you wish someone had told you earlier in your tech journey? 👇

7 websites that made me a better developer — and they're all free. I've been coding for years and these platforms are still open in my browser regularly. Whether you're just starting out or sharpening your skills between projects — bookmark this list. #1 ⚡ LeetCode [DSA · Interviews] The gold standard for interview prep. 2,500+ problems across arrays, trees, graphs, and dynamic programming. If you're targeting FAANG or any product company — this is non-negotiable. #2 🏆 HackerRank [Skills · Certification] Great for structured skill tracks and official certifications employers actually recognise. Strong for SQL, Python, and problem-solving challenges. Perfect if you're building a verifiable portfolio. #3 ⚔️ CodeWars [Daily Practice · Katas] Gamified daily coding challenges called "katas" — ranked by difficulty. Addictive in the best way. Brilliant for keeping your problem-solving sharp without the pressure of interview simulation. #4 🧠 GeeksforGeeks [Reference · Learning] The developer's encyclopedia. Every algorithm, data structure, and concept explained with examples and code. I still open GFG when I need a clean explanation of something I haven't touched in months. #5 🆓 freeCodeCamp [Beginners · Full Curriculum] A complete free coding curriculum from HTML basics to APIs, data visualisation, and machine learning. Over 10,000 hours of content. The best structured starting point for anyone new to development. #6 👨🍳 CodeChef [Competitive · Contests] Monthly contests, division-based rankings, and a strong competitive programming community. Excellent for building speed and accuracy under timed pressure — the skill that actually matters in live interviews. #7 🎯 Exercism [Mentorship · Deep Learning] The most underrated on this list. Solve exercises in 65+ programming languages and get real feedback from human mentors. If you want to truly understand a language — not just use it — start here. --- The developers who consistently level up aren't the ones with the most expensive courses. They're the ones who show up daily on platforms like these — one problem at a time. Which one is your go-to? Drop it in the comments 👇 — and follow me for more tools, tips and honest takes from the field. #CodingTips #SoftwareEngineering #LeetCode #WebDevelopment #MobileDevelopment #LearnToCode #DeveloperLife