PinnedMuhammad Qasim·May 22My Introduction(M Qasim)I Build Software, Explore Ideas, and Share What WorksA response icon5A response icon5
PinnedInJavaScript in Plain EnglishbyMuhammad Qasim·Oct 20The JavaScript Code Worked. Turning It Into a Reusable Library Was the Hard Part.How TypeScript, npm packaging, automated testing, and release governance turn a one-off project into dependable infrastructure.A response icon2A response icon2
PinnedInJavaScript in Plain EnglishbyMuhammad Qasim·Jun 245 JavaScript Concepts That Finally Made Me Feel Like a Real DeveloperThe moment I stopped thinking in syntax and started thinking in systems.A response icon2A response icon2
PinnedInPython in Plain EnglishbyMuhammad Qasim·Aug 107 Python Libraries That Separate Beginners From Senior DevelopersI once reviewed a pull request where someone had written 40 lines of nested loops to do what itertools.groupby handles in four. It worked…A response icon2A response icon2
InJavaScript in Plain EnglishbyMuhammad Qasim·3h agoYou Know JavaScript Syntax. But Can You Actually Build With It?Understanding variables, functions, arrays, and promises is one thing. Turning them into working features, solving unexpected problems, and…
InJavaScript in Plain EnglishbyMuhammad Qasim·1d agoJavaScript Works Until It Doesn’t: 7 Runtime Behaviors That Catch Developers Off GuardType coercion, closures, promises, object references, and asynchronous execution can produce bugs that are difficult to spot. Here’s how to…A response icon1A response icon1
InJavaScript in Plain EnglishbyMuhammad Qasim·2d agoDebugging a Production Memory Leak in Node.jsFollow the investigation from symptoms to heap snapshots, root cause, and a safer fix.A response icon1A response icon1
InPython in Plain EnglishbyMuhammad Qasim·3d agoWe Replaced Pandas With Polars for Speed. Here’s What We FoundBenchmarks, compatibility issues, and the workloads where a faster DataFrame library wasn’t the better engineering choice.
InJavaScript in Plain EnglishbyMuhammad Qasim·4d agoShipping a Live Dashboard Under a Tight DeadlineThe architecture trade-offs, calculated shortcuts, and production lessons behind a real-time monitoring interface.
InArtificial Intelligence in Plain EnglishbyMuhammad Qasim·5d agoReplacing a Cloud LLM with a Local Model: What Actually ChangedA production-focused look at inference costs, latency, privacy, accuracy, and maintenance after moving AI inference closer to the user.A response icon2A response icon2
