Debugging: The Event Loop in JavaScript

I was looking at an anagram checker someone wrote the other day and it reminded me how easy it is to stop at "good enough." The solution worked. It sorted both strings and compared them. Clean, readable, correct. O(n log n). But there's this other version that just counts characters. No sorting. O(n). Same result, better performance. And I think what bugs me is how often I've done the same thing. Reached a working solution and just… stopped. Didn't ask if there was a simpler way. Didn't question the first approach that came to mind. It's not laziness exactly. More like momentum. Once something works, the pressure to move on is real. Tickets are waiting. Someone's blocked. The PR needs to go out. But every once in a while it's worth the pause. Not to over-engineer, just to see if you're carrying weight you don't need. The frequency map approach isn't revolutionary. It's just counting. But it's fast, and it scales better, and it costs almost nothing to consider. I don't know. Maybe this only matters at a certain scale. Maybe sorting two short strings is fine forever. But I keep coming back to this idea that the difference between decent code and good code is sometimes just asking yourself one more question before you commit. #SoftwareEngineering #TypeScript #Algorithms #CodingBestPractices #SoftwareDevelopment #Programming #TechLearning #CleanCode #DeveloperLife #CodeQuality

So, debugging is a thing. It's a big deal, actually. You gotta know how to do it right, especially in JavaScript and React - it's like trying to find a needle in a haystack, but the haystack is on fire. Null values, for instance: they're sneaky. Don't check for them, and your code will crash. Boom. Here's the thing: checking for null values is key. It's not that hard, but it's easy to overlook - and that's when things go wrong. You gotta be meticulous, like a detective searching for clues. Not using console logs? That's a mistake too. It's like trying to fix a car without looking under the hood - you need to see what's going on, you know? And then there's edge cases. They're like the weird cousins of the coding world - you don't always think about them, but they can cause some serious problems. So, what's the takeaway? Be careful, and don't be afraid to test things out. It's all about improving those coding skills, and avoiding common mistakes. Check it out: https://lnkd.in/gggPKHwp #Innovation #Creativity #Strategy #Debugging #CodingSkills

I defend unwrap() quite often because, as a developer, you can ensure that the alternate path is handled so that unwrap() becomes unreachable (a linter for this might be of great help); however, there is no reason whatsoever to use expect() in production. expect() is just the highest level of carelessness a developer can have with production-grade Rust code.

"First, solve the problem. Then, write the code." - John Johnson Today’s LeetCode session reminded me that the hardest part of engineering isn't typing, it's thinking. I spent 10 minutes drawing a guest list on paper before writing a single line of JavaScript. Result? A clean $O(n)$ solution and a much better understanding of how Sets work. 🚀 #Coding #ProblemSolving #SoftwareEngineering

🚀 LeetCode POTD — 2483. Minimum Penalty for a Shop Solved | Medium | Prefix Logic | Greedy Thinking 🔗 Solution Link: https://lnkd.in/gBxXPcyB Today’s POTD was a nice example of how tracking balance over time can simplify what initially looks like a tricky optimization problem. We’re given a log of customer visits (Y / N) and asked to decide the earliest hour to close the shop such that the total penalty is minimized: Open but no customers → penalty +1 Closed but customers come → penalty +1 🧠 My Approach: First, count the total number of 'Y' characters — this represents the penalty if the shop closes immediately. Then, iterate through the string hour by hour: If the current hour has 'Y', reduce the penalty (we served a customer). If it has 'N', increase the penalty (shop stayed open unnecessarily). Keep tracking the minimum penalty seen so far, and update the result with the earliest hour where this minimum occurs. This single pass neatly balances past losses with future gains. 📈 Complexity: Time: O(n) Space: O(1) ✨ Quote: “To know when to stop is wisdom.” — Chinese Proverb #LeetCode #ProblemOfTheDay #GreedyAlgorithm #PrefixSum #DSA #CodingChallenge #SoftwareEngineering #ProblemSolving #CodingJourney #LearningInPublic #TechCommunity #100DaysOfCode

🚀 [Day 10/30] Coding Challenge with @Educative.io 💻 💡 Problem: Jump Game Today’s challenge was all about greedy thinking vs brute force. The goal was to check whether we can reach the last index of an array when each element tells how far we can jump. I started with a recursive approach — trying every possible jump path to see if any leads to the destination. It worked logically, but resulted in Time Limit Exceeded due to exponential branching 😅 Then I switched to a smarter greedy strategy: 👉 Track the maximum reachable index at every step. If at any point currentIndex > maxReach, we can’t move forward → return false Otherwise, keep extending maxReach = max(maxReach, currentIndex + nums[currentIndex]) This turned an exponential problem into a clean O(n) solution ⚡ ✨ Small win: Realizing that you don’t need to explore all paths — just knowing the farthest reach is enough — was a big “aha!” moment. 🔍 Key Learnings: Greedy beats recursion when paths explode Tracking reach is more powerful than exploring choices Many DP problems hide a simpler greedy core #30DaysOfCode #Day10 #CodingChallenge #Educative #DSA #GreedyAlgorithm #DynamicProgramming #JavaScript #ProblemSolving #InterviewPrep #SoftwareEngineer #LearningInPublic #TechCareers #KeepCoding

-The Brute-Force Mindset- Yes, I was also in that phase where I thought coding was meant for only the genius guys, but now I understand the trap. I thought I had to think fast to be good. Today, I realized that thinking fast is actually a distraction from understanding the concept. Today, I realized I was approaching LeetCode all wrong. I was trying to "think fast" and start coding before I truly understood the underlying concept. Speed is a trap in coding. I've decided to slow down. My new rule: 1. No keyboard for the first 10 minutes. 2. Pen and paper only. 3. If I don't know the pattern (e.g., Two Pointers), I study the theory before I write a single line of code. It feels slower, but I know it's building a stronger foundation. Quality > Quantity. When you "think faster" than you understand, you’re trying to build a house on sand. Slowing down to master the concept is how you actually become one of those "genius" guys, because they don't have higher IQs, they just have a better library of patterns in their heads. #CodingJourney #LeetCode #100DaysOfCode #SoftwareEngineering

Let’s be honest: no one likes a "documentation dive." 📚❌ SpotterCode is changing the game for developers building with ThoughtSpot. As Nicolas Rentz demonstrates, this AI agent lives in your IDE and uses our SDK docs to write production-ready code for you. - Speed: Instant code generation for embeds. - Precision: No more syntax hunting or CSS guessing games. Ditch the manual search and start building. Watch how it works below! 👇 https://forwrd.it/r/6tAT

“Debugging my thinking, not my code.” Solving problems isn’t the hard part. Knowing why your solution works is. Over time on LeetCode, I realized my biggest improvement didn’t come from solving more problems — it came from slowing down before coding. Now, for every problem, I force myself to answer: "What are the constraints really telling me?" "What breaks if input size scales?" "Which approaches fail silently?" Many “hard” problems became manageable once I stopped chasing syntax and started chasing invariants and patterns. The goal isn’t to get AC. The goal is to build thinking that scales beyond LeetCode.