Shahalam 👨🏻💻 @_shahalam_dev
Love ❤️ programming | love to explore 🤗 Traveling 🏖️ github.com/shahalam-dev Dhaka, Bangladesh 🇧🇩 Joined September 2021-
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Some social media accounts falsely claim that 20,000 Bangladeshi militants have joined the Arakan Army, recruited through a U.S.-backed network and supplied with weapons and training. They allege funding comes from Jamaat-linked NGOs and foreign-owned garment companies in…
Async/await or Promises—which do you use most? Async/await = cleaner code & easier error handling Promises = great for parallel tasks & chaining What’s your real-world use case or best practice? Drop your thoughts & tips! 👇 #JavaScript #AsyncAwait #Promises #WebDev
🔥 Top JS frameworks in 2025: What’s hot & what’s not! Hot: React (server components), Svelte, SolidJS, Qwik Not: Slow, monolithic frameworks Are you team classic or trying the new kids on the block? What’s your pick for 2025? Reply & let’s discuss! 👇 #JavaScript #WebDev
JavaScript’s journey: ES5 ➡️ ES2025! From arrow functions & async/await to optional chaining & new ES2025 features, JS keeps getting better for devs and users alike. What’s your favorite update? #JavaScript #ES2025 #WebDev
Migrated a JS codebase to #TypeScript—here’s what I learned: 🔹 Migrate incrementally 🔹 Use any sparingly 🔹 Invest in type definitions 🔹 Update your tooling 🔹 Collaborate & document The payoff: cleaner, safer, and more maintainable code! #JavaScript #DevLife #LessonsLearned
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Adopting #TypeScript in your #JavaScript projects means: ✅ Fewer bugs ✅ Better autocompletion ✅ Easier refactoring ✅ Scalable codebases ✅ Smoother teamwork Level up your dev game! 🚀 #WebDevelopment #Coding
10 Best System Software Concepts ➡️Load balancers ➡️APIs ➡️Caches ➡️Databases ➡️Network Protocols ➡️Message queues ➡️CDNs ➡️High-level details about ML and Big data ➡️CAP Theorem ➡️Monitoring and analytics read - bit.ly/3pzJCJh
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How can Cache Systems go wrong? The diagram below shows 4 typical cases where caches can go wrong and their solutions. 1. Thunder herd problem This happens when a large number of keys in the cache expire at the same time. Then the query requests directly hit the database, which…
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