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WebGuessyMan— FlagYard Reverse Engineering Writeup
39+ min ago (19+ words) Follow me: https://github.com/FaresBadaj linkedin.com/in/FaresBadaj # FlagYard CTF — GuessyMan **Writeup by [Fares …...
Support Vector Machines — How AI Finds the Widest Gap Between Classes
39+ min ago (648+ words) Series 3, Part 5: ML Algorithms, Simply Explained Imagine you’re a security officer at an airport. Your job is to separate …...
I Built a Local Git Diff Explainer With Ollama So My PRs Stop Sounding Like a Robot
44+ min ago (493+ words) I write better code than I write PR summaries. That is not a flex. It is a confession. Most of my commit messages used to look like “fix stuff or a paste of git diff --stat into a cloud chat…...
Stop Paying for AI Subscriptions! Top Free AI Tools for US Remote Developers
39+ min ago (33+ words) Discover the best free AI alternatives to cut down software costs and supercharge your coding workflow in 2026. Are high …...
The Architecture of Ephemeral Media: How to Archive Instagram Stories Without Sacrificing Privacy
39+ min ago (27+ words) A technical deep-dive into social media caching, CDN delivery pipelines, and the necessity of …...
LLM Inference, Explained: Prefill, Decode, and KV Cache
39+ min ago (29+ words) Ever wondered what actually happens the second you hit send on ChatGPT or Claude? That near-instant reply isn’t magic. It’s inference …...
Designing a Multi-Layer Privacy Sanitization Pipeline for LLM Applications
39+ min ago (163+ words) Modern AI applications process large volumes of unstructured and semi-structured data. This data may contain personally …...
How I would design a URL shortener
1+ hour, 17+ min ago (199+ words) Many people wonder why the URL shortener is such a common system design interview question and it’s because the problem looks deceptively simple, while the system …...
Programming 的 DRY 和 WET 是什麼？
3+ hour, 46+ min ago (18+ words) 在程式設計的世界裡，常常會聽到兩個縮寫：DRY 和 WET。它們代表了兩種截然不同的編程哲學，影響著程式碼的結構、可維護性與開發效率。DRY（乾） 和 WET（濕） 本身也呈現完全相反的意思。Continue reading on Medium »...
The Steelman: When an AI Agent Actually Earns Its Complexity
3+ hour, 45+ min ago (468+ words) A while back I wrote that most “AI agents” are just pipelines in a trench coat — deterministic workflows with an LLM call in them …...