Vibe coding with AI for education

Day 11/100 - #100DaysOfDSA Find Minimum in Rotated Sorted Array 🚀 Today’s DSA problem was finding the minimum element in a rotated sorted array using Binary Search. I quickly caught on the pattern as the word 'sorted' gave it away ;) 🔹 Key Insight: In a rotated sorted array, one half is always sorted. By comparing the middle element with the rightmost element, we can decide which side contains the minimum. ✅ Time Complexity: O(log n) ✅ Space Complexity: O(1) Example: Input: [4,5,6,7,0,1,2] Output: 0 What I learned today: Binary Search is not just for finding elements. Observing sorted halves helps reduce search space efficiently. Small condition changes can completely alter the approach. #100DaysOfDSA #DSA #BinarySearch #Coding #Programming #LeetCode #DataStructures #Algorithms

🛩️ DSA day 244 ❓ Remove Duplicates from Sorted Array ✅ 💡 Approach Since the array is already sorted, duplicate elements are adjacent. We maintain: i → traverses the array j → stores position of next unique element Whenever a new unique element is found: nums[j++] = nums[i]; This modifies the array in-place without using extra space. Complexity Time Complexity: O(n) Space Complexity: O(1) #cpp #dsa #leetcode #coding #programming #softwareengineering #algorithms #twopointers #codinginterview #computerscience #RemoveDuplicatesfromSortedArray

Day 38 of DSA Practice ✅ Worked on: • Daily Temperatures (LeetCode 739) [Medium] • Remove K Digits (LeetCode 402) [Medium] • Next Smaller Element (GFG) [Medium] Focused on solving stack-based pattern problems today. Daily Temperatures helped in understanding how to use stack for finding next greater values efficiently. Remove K Digits was about maintaining a monotonic structure to build the smallest number. Next Smaller Element reinforced how slight changes in condition (greater → smaller) affect the entire approach. Key learning: Many problems follow the same pattern — recognizing it makes solving faster. Edge cases: • Small inputs • Increasing/decreasing sequences • Duplicate values #leetcode #dsa #stack #monotonicstack #coding #programming #techcommunity #learnbydoing

DSA Learning-Go ✨ Day 44 -> DSA Today I explored the concept of Optimality in algorithms and problem solving. In DSA, an algorithm is called optimal when it gives the best possible solution while using minimum resources like: Time Complexity ⏱️ Space Complexity 💾 Cost / Operations ⚡ I learned that many approaches can solve a problem, but the challenge is finding the most efficient and optimal approach. Key Learnings 📚 ✅ Difference between brute force and optimal solutions ✅ Importance of Time & Space Complexity ✅ How optimization improves performance ✅ Why Dynamic Programming and Greedy methods are often used for optimal solutions Example Concepts Optimal Binary Search Tree Minimum Spanning Tree Shortest Path Algorithms Dynamic Programming Optimization Every day in DSA is teaching me not just coding, but also how to think logically and efficiently. #Day44 #DSA #Algorithms #CodingJourney #ProblemSolving #Programming #ComputerScience #Optimization #DynamicProgramming #GreedyAlgorithm #LinkedInLearning

🚀 Learning CUDA can feel overwhelming… where do you even start? Between GPU architecture, parallel programming, and optimization techniques — finding the right resources is often harder than learning itself. Came across this excellent curated repo: 👉 Awesome CUDA Books: https://lnkd.in/dTEDPuqh 💡 It brings together: Beginner → advanced CUDA books Core architecture & parallel programming guides Deep learning + optimization focused resources Latest releases (2024–2026) in one place 👉 A great starting point if you're exploring GPU computing or performance engineering with NVIDIA CUDA. #CUDA #GPUComputing #HighPerformanceComputing #AIEngineering #LearningResources

ARM Assembly Language Programming: https://lnkd.in/gFjRaZ6N Look for "Read and Download Links" section to download. Follow me if you like this post. #EmbeddedSystems #ARMProgramming #AssemblyLanguage #AssemblyProgramming #GenAI #GenerativeAI #LLMs #Gemini

🚀 Solved the “Majority Element” problem on LeetCode today using the Boyer-Moore Voting Algorithm in C++. This problem is a great example of how an optimized algorithm can solve a frequency-based problem efficiently without using extra memory. 💡 Key Insight: If the current candidate loses its majority influence, reset the candidate and continue tracking the potential majority element. 🧠 Approach: • Maintain a candidate element • Increase frequency when the same element appears • Decrease frequency when a different element appears • Reset candidate when frequency becomes 0 📊 Complexity Analysis: • Time Complexity: O(n) • Space Complexity: O(1) This problem helped me better understand greedy thinking, optimization techniques, and how elegant algorithms can simplify seemingly complex tasks. 💻 C++ solution included below. #LeetCode #CPP #DSA #Algorithms #ProblemSolving #Coding #Programming #ComputerScience #SoftwareEngineering #leetcode

Prompting is difficult because the AI does approximately what you tell it to do. Programming is difficult because the computer does exactly what you tell it to do. Pick your difficult and know when to switch. #AIcoding

🚀 Day 72 | LeetCode Learning Journal Today I solved the Find Minimum in Rotated Sorted Array problem using C++. This problem focused on Binary Search, rotated arrays, and optimized searching techniques. 🔑 Key Points: • Used Binary Search for O(log n) complexity • Identified sorted and unsorted halves • Compared middle element with right pointer • Narrowed search space efficiently • Found minimum element in rotated array • Avoided linear traversal for optimization 🌱 What I Learned: • Binary Search can be applied beyond sorted arrays • Rotated arrays follow special patterns • Comparing boundaries helps reduce search space • Optimized solutions improve performance significantly • Understanding array structure simplifies problem-solving #LeetCode #100DaysOfCode #DSA #Cpp #Programming #Algorithms