Java LLD: Designing a High-Concurrency Elevator System Designing an elevator system is a classic "Machine Coding" round favorite because it tests concurrency, state management, and algorithmic efficiency simultaneously. At companies like Apple or Amazon, interviewers aren't just looking for a working loop; they are looking for thread safety and optimal scheduling. Using a simple Queue<Integer>
The problem: too many clients, too few discovery hooks We expose Supabase Edge Functions as MCP (Model Context Protocol) servers. The clients that hit them are heterogeneous — Claude Desktop, Codex CLI, Cursor, VS Code Continue, a couple of in-house browser extensions. None of them ship with a hard-coded "use WorkOS AuthKit, scope is tool:ai_chat, audience must contain urn:jibun:tool:<tool>" rec
How I Built a Free Anonymous Email Service — No Phone, No Password, No Logs Every time you sign up for a new email service, you're asked for: A phone number An existing email address Your real name A government ID (in some countries) I asked myself: what if email could work like cash? Anonymous by default. No identity required. No trail left behind. That's how QRYPTY Mail was born — a fully functi
Every team experiences incidents. The teams that grow stronger from them are the ones that take postmortems seriously — not as blame sessions, but as structured learning opportunities. Yet most postmortems end up as a wall of text nobody reads twice, filed away and forgotten until the same incident happens again six months later. This guide walks you through writing postmortems that genuinely chan
The Reality of Being a Man in Your 50s in South Korea
Nowadays blockchains treat privacy like it's just an extra. Just an additional feature. Everything is visible and public. This architecture works for systems where public transparency is the end goal. But what happens when you begin to handle big data, medical records or sensitive information? It collapses. Full transparency and accountability is not a feature in these contexts, it's a problem. Ho
LLM Foundry finally stops being a toy and starts acting like a system I wanted to see whether a weak local model could be made genuinely more useful without pretending the base model was magic. So I wrapped a small Hugging Face model in LLM Foundry, gave it memory, semantic retrieval, a reflection loop, and a benchmark harness — then made it explain why semantic retrieval matters, while the term
As Large Language Model (LLM) agents increasingly integrate numerous external systems, they suffer from Tool Space Interference (TSI), a phenomenon causing context bloat, attention dilution, and degraded reasoning accuracy. In this paper, we introduce the Agent-as-a-Tool paradigm—an evolutionary, practical implementation of the recently proposed Self-Optimizing Tool Caching Network (SOTCN) and Fed