Tail-Recursive Factorial in JavaScript

🤔 Ever seen RangeError: Maximum call stack size exceeded and wondered what it actually means? It usually comes down to how the call stack works, how recursion grows it, and why every JavaScript engine has depth limits. 🧠 JavaScript interview question What is the call stack, why does recursion have depth limits, and what causes a stack overflow? ✅ Short answer The call stack is where JavaScript keeps track of active function calls. Every recursive call adds a new stack frame. If recursion goes too deep, or never stops, the stack fills up and throws a stack overflow error. 🔍 A bit more detail JavaScript runs code on a single thread and uses the call stack to manage function execution. When one function calls another, a new execution context is pushed onto the stack. When a function finishes, it is popped off and control returns to the caller. With recursion, this push process keeps happening until a base case stops it. That is why a correct base case matters so much. Without it, or with too many nested calls, you eventually hit the engine's stack limit and get: RangeError: Maximum call stack size exceeded Example with a safe base case: function factorial(n) { if (n < 0) throw new Error("Negative values are not allowed"); if (n === 0 || n === 1) return 1; // base case return n * factorial(n - 1); // recursive case } console.log(factorial(5)); // 120 This works because the recursion has a clear stopping point. Here is the kind of pattern that causes stack overflow: function endless(n) { return endless(n + 1); // no base case } ⚠️ Important clarification Infinite recursion is not the only problem. Even valid recursion can fail if the input gets deep enough, because JavaScript engines have limited stack space. That is why for very deep problems, an iterative solution is often safer than recursion. #javascript #webdevelopment #frontend #codinginterview #learninpublic

How JavaScript Memory Model Works: Stack vs Heap Allocation ? (1) Stack stores primitives and references – Fast, LIFO-structured memory for execution contexts, local variables, and primitive values, but limited in size. (2) Heap stores complex data – Larger, slower, unordered memory for objects, arrays, functions, and closures. (3) References connect stack to heap – Variables on the stack hold memory addresses (pointers) that reference data stored in the heap. (4) Primitives live directly on the stack – Values like numbers and strings (when small) are stored inline, while strings and complex types use heap references. (5) Functions are heap-stored with scope – Function bodies reside in the heap, while references and scope chains remain on the stack during execution. Test your JavaScript fundamentals with focused on scope, hoisting, closures, and asynchronous behavior. 💬 Share your answer or reasoning in the comments. #JavaScript #InterviewPreparation #SoftwareEngineering #WebDevelopment #DevelopersOfLinkedIn #frontend #backend #coding #learning

JavaScript in 2026: Temporal API makes dates actually good, Iterator helpers bring lazy evaluation, and RegExp.escape() finally exists after 15 years. Plus: TypeScript v6 is here, Vite dominates the build tool landscape, and 92% of devs are using AI to write code. Wild times. https://lnkd.in/gbNKWc4q #javascript #frontend

I’ve now wrapped up my current deep dive into JavaScript coercion, ending with one of the most misunderstood parts of the language: "==" vs "===" My biggest takeaway is that the right way to understand equality in JavaScript is not by memorising strange examples like: - 5 == "5" - false == 0 - "" == 0 - null == undefined Instead, it is by understanding the actual rules behind them. What I learned is that === and == are backed by different abstract operations in the ECMAScript spec: 1. === → IsStrictlyEqual(x, y) 2. == → IsLooselyEqual(x, y) For ===, the mental model is simple: - if the types differ, the result is false - no cross-type coercion happens But == is not just “convert both sides to numbers”. It follows a case-by-case algorithm. Depending on the values involved, JavaScript may: 1. convert strings to numbers 2. convert booleans to numbers 3. convert objects to primitives 4. apply the special null / undefined rule 5. compare BigInt and Number in a specific way That is why: - 5 == "5" is true - false == 0 is true - null == undefined is true - but null == 0 is false The best part of learning this topic is that JavaScript now feels much less random. I also feel more confident reading the ECMAScript spec now. I do not need to learn every abstract operation in depth, but I know how to navigate the spec when I want to understand why JavaScript produced a certain result. I’ve been maintaining detailed notes on everything I learned here: GitHub repo: https://lnkd.in/ephuZ-w6 #JavaScript #TypeScript #WebDevelopment #SoftwareEngineering #ECMAScript

👉 If you're writing modern JavaScript, these 10 underrated features can instantly improve your code 👇 💡 Optional Chaining ("?.") → Stop “cannot read property of undefined” errors 💡 Nullish Coalescing ("??") → Smarter defaults (without breaking "0" or """") 💡 Array.at() → Clean way to access last elements 💡 structuredClone() → Proper deep copy (no hacks) 💡 Promise.any() → First successful API wins 💡 Object.hasOwn() → Safer property checks 💡 replaceAll() → Replace all matches without regex 💡 Top-Level Await → Cleaner async code in modules 💡 Logical Assignment ("||=", "&&=", "??=") → Write less, do more 💡 WeakMap / WeakSet → Memory-efficient data handling 🔥 These aren’t “advanced” features — They’re modern JavaScript essentials in 2026. --- 💬 Curious — Which one are you already using in production? And which one is new for you? --- #JavaScript #WebDevelopment #Frontend #FullStackDeveloper #Coding #SoftwareEngineering #TechJobs

⚡ Shipped JavaScript & TypeScript support in AI-MR-Reviewer — a GitHub App that reviews your PRs the moment you open them. Inline comments on the diff. Clear severity levels. Zero setup. Built for teams who want fast, reliable feedback without heavy tooling. What lands in this release: ~18 focused JS/TS rules. 🔴 HIGH RISK — 7 rules == / != instead of === / !== Empty catch blocks (silent failures) eval() / new Function() usage innerHTML with dynamic content / dangerouslySetInnerHTML (XSS risk) setTimeout / setInterval with string arguments SQL injection patterns in .query() / .exec() (concat / template literals) Hardcoded secrets (API keys, tokens, passwords in code) 🟡 MID RISK — 7 rules console.log / debug statements in production var usage instead of let/const TypeScript any type usage // @ts-ignore / // @ts-nocheck Non-null assertions (!) on property access new Date() without timezone awareness Promises without .catch() or not awaited 🔵 LOW RISK — 4 rules TODO / FIXME comments left behind Numbered function names (handler2, doThing3) require() used inside ES modules Magic numbers outside constants Every rule is tuned to minimize noise and maximize real signal — so developers focus only on what actually matters. Under the hood: TypeScript · Node.js · Octokit · Express · Docker Reviews land within seconds of opening a PR. Next up: deeper semantic checks on top of this — smarter detection, fewer false positives, and richer context. If your team works with JS/TS daily, this removes friction from every PR. 🚀 Launching publicly by this Sunday, InshaAllah. #JavaScript #TypeScript #CodeReview #DeveloperTools #AI #StaticAnalysis #DevEx #OpenSource

What is the difference between shallow copy and deep copy? Copying objects in JavaScript is not always what it seems. A `shallow copy` duplicates only the first level. Nested objects are still shared by reference. A `deep copy` duplicates everything recursively. Why did this happen? - The top-level object was copied - But `address` still points to the same reference To fully isolate data, a deep copy is required. Understanding this is critical when: - Managing state - Avoiding unintended mutations - Debugging shared data issues The behaviour is subtle — but the impact is everywhere. #Frontend #JavaScript #WebDevelopment #SoftwareEngineering

🚀 Day 30 of My Full Stack Development Journey Today I explored String methods in JavaScript and learned how to manipulate and work with text data effectively ⚡ Here’s what I learned today: 🔹 String Methods – Working with built-in functions 🔹 trim() – Removing extra spaces 🔹 Strings are Immutable – Understanding how strings behave in JS 🔹 toUpperCase() & toLowerCase() – Changing text case 🔹 indexOf() – Finding positions in a string 🔹 Method Chaining – Combining multiple methods 🔹 slice() – Extracting parts of a string 🔹 replace() & repeat() – Modifying and repeating text 🔹 Practiced several questions to strengthen my understanding 💻 It’s interesting to see how powerful JavaScript becomes when working with strings. Step by step, improving my coding skills and logic 🚀 #FullStackJourney #WebDevelopment #JavaScript #LearningInPublic #100DaysOfCode #CodingJourney

I built a free interview prep reference for JavaScript, Next.js & RTK Query — with the help of Claude AI. 🚀 🔗 Live site: https://lnkd.in/d5QP-usa I used Claude to organize, structure, and expand every concept into a clean, searchable reference site. What would've taken days took hours. 🟡 JavaScript → Closures, Event Loop, Promises, Generators → Debounce/Throttle, Currying, Proxy, WeakMap → Hoisting, Prototype Chain, Immutability 🟣 React & Next.js → Server vs Client Components → App Router, Server Actions, Middleware → All 4 caching layers explained → ISR, Streaming, generateStaticParams → All major hooks with real patterns 🟢 RTK Query → useQuery, useMutation, cache tags → Optimistic updates, token refresh → Dependent queries, prefetching → onCacheEntryAdded & lazy queries 32 interview Q&As with full answers + code examples. All in one clean, searchable reference. Built with Claude. This is the future of building dev tools — AI as a thought partner, not just a code generator. Save this for your next interview prep session 🔖 #JavaScript #NextJS #Redux #ReactJS #WebDevelopment #FrontendDeveloper #CodingInterview #Claude #AI #TechCareers

🚀 From Arrays to Efficiency: Mastering Set in JavaScript Today I solved the “Unique Rows in Boolean Matrix” problem using one simple yet powerful concept — Set. At first glance, the problem looks like a typical nested loop challenge. But instead of going brute force, I leveraged Set to achieve a clean and optimal solution. 💡 Key Idea: Convert each row into a string and store it in a Set to automatically handle duplicates. ✨ Why this is powerful: Eliminates duplicates in O(1) lookup time Avoids unnecessary nested loops Keeps the solution clean and readable 📊 Complexity: Time: O(n × m) Space: O(n × m) 🔥 Takeaway: Sometimes, the difference between an average solution and an optimal one is just knowing the right data structure. Today it was Set. Tomorrow, it could be something else. 💬 Curious: Where else have you used Set to simplify a problem? #JavaScript #DSA #CodingInterview #WebDevelopment #ProblemSolving #100DaysOfCode