sometimes vibe coding makes me want to write an LRUCache from scratch, write unit tests manually, airplane mode, all non-GMO farm-to-table coding

I use my own lruCache package, that has background cleanup, ttl's and max size with a double linked list for lru.

only memory (own lruCache package)

Creating it manually is also only once. I just have a generic lruCache package that I reuse. Hosting Redis is expensive in the long run, in memory the short run.

I helped many Android developers get the jobs they wanted. Across most companies, the interview structure followed a very similar pattern: 1. Data Structures and Algorithms 2. Machine Coding Round 3. Android and Kotlin/Java concepts 4. System Design Data Structures and Algorithms • Easy/Medium Level Question mainly focused on Array, HashMap, Two Pointer Approach, Sliding Window, and LinkedList. • LRUCache Machine Coding Round • Build an App from Scratch: Fetch data from an API and display it in a list, handling loading and error states. • Everything about Android Machine Coding Round Interview: outcomeschool.substack.com/p… Android and Kotlin/Java concepts Questions like • Explain Coroutines • How to implement debounce using Coroutines • How ViewModel works internally System Design • Design Image Loading Library • Design File Downloader Library • Design Instagram Stories • Design Networking Library • Design Analytics Library • Design Caching Library • Design Location Sharing App • Design WhatsApp Different companies, different roles, but the pattern stays largely the same.

Q1.LRU Cache LRU Cache accepted ✅ HashMap Doubly Linked List O(1) get, O(1) put Finally clicked. Day1 Done👍 #LeetCode #SystemDesign #DataStructures #LRUCache #LearningInPublic

Most Android devs stop at UI or using Jetpack libraries. The real learning begins when you explore what happens under the hood. Start exploring these: - Why does an Android app lag?: Smooth 60fps UI, Choreographer, GC, Recomposition - LRUCache and Bitmap Pool - ViewModel Internals - Android Runtime: ART, AOT, JIT - Coroutines Internals - OkHttp internals, like connection pooling Pick one topic, explore it in depth for 1–2 weeks, and master it.

Day 80 📚: Stacks and Queues (System Design Application) Trees Basics (Introduction) ✅ Solved: LRU Cache (Least Recently Used) #100DaysOfCode #DSA #Stack #LRUCache #SystemDesign #TUFWinterArc

Guaranteed Ways to Fail in Android Interviews: • Ignoring Data Structures and Algorithms: for example, failing to code "LRUCache". • Not practicing for the Machine Coding Round, thinking, "I already work on a big project in my company." • Ignoring the internals: for example, failing to code "How to implement debounce using Coroutines." • Not practicing how to explain concepts: for example, failing to explain "How ViewModel works internally". #AndroidDev #Kotlin #Interview #Android

👨‍💻 Dev Corner: Parallelized on-chain resource reading has been optimized by replacing the original mutex<LruCache> with QuickCache. QuickCache provides internal thread safety and offers better throughput in parallelized scenarios. Follow our BUIDL journey: github.com/starcoinorg/starc…

Day 103: Caching Smartly 🧠💾 ✅ Implemented LRU Cache • Used Doubly Linked List HashMap combo • Achieved O(1) for both get & put operations ⚡ #Day103 #DSA #LRUCache #SystemDesign #100DaysOfCode #LearningJourney

broooo lmao 😂😂

Jo Linkedin par ek-ek questions chapke post karte hai unka khel to khatam hai, ye check karo😂

😂😂😂

😂😂😂 brooo mujhe nhi chahiye linkedin par fame aur naa hi leetcode ka badge...

Bhai copy paste krr deta ... Fir linked in pe post daal deta ek hard work ka crazy ho jata

hn dekha aur 5k submission hard category then read bhi nhi kiya 😇

Aaj ka Potd dekha tha😶