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Medium

On Medium, anyone can share insightful perspectives, useful knowledge, and life wisdom with the world.

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News


medium.com > @faresbadaj > guessyman-flagyard-reverse-engineering-writeup-2c3e7860ef96

GuessyMan— FlagYard Reverse Engineering Writeup

5+ hour, 37+ min ago   (19+ words) Follow me: https://github.com/FaresBadaj linkedin.com/in/FaresBadaj # FlagYard CTF — GuessyMan **Writeup by [Fares …...


medium.com > @velpragathi673 > support-vector-machines-how-ai-finds-the-widest-gap-between-classes-ddad0e881e04

Support Vector Machines — How AI Finds the Widest Gap Between Classes

5+ hour, 36+ 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 …...


medium.com > @prakash.cyberinfosec > i-built-a-local-git-diff-explainer-with-ollama-so-my-prs-stop-sounding-like-a-robot-9adc219576bc

I Built a Local Git Diff Explainer With Ollama So My PRs Stop Sounding Like a Robot

5+ hour, 41+ 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…...


medium.com > @emelia99066 > stop-paying-for-ai-subscriptions-top-free-ai-tools-for-us-remote-developers-f510dc87abbc

Stop Paying for AI Subscriptions! Top Free AI Tools for US Remote Developers

5+ hour, 36+ min ago   (33+ words) Discover the best free AI alternatives to cut down software costs and supercharge your coding workflow in 2026. Are high …...


medium.com > @anjaliikakde > llm-inference-explained-prefill-decode-and-kv-cache-78fee27066b8

LLM Inference, Explained: Prefill, Decode, and KV Cache

5+ hour, 36+ 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 …...


medium.com > @biswasabhishek521 > designing-a-multi-layer-privacy-sanitization-pipeline-for-llm-applications-d080a3d86492

Designing a Multi-Layer Privacy Sanitization Pipeline for LLM Applications

5+ hour, 36+ min ago   (163+ words) Modern AI applications process large volumes of unstructured and semi-structured data. This data may contain personally …...


medium.com > @inengiyeemmanuel > how-i-would-design-a-url-shortener-b95489e56c6f

How I would design a URL shortener

6+ hour, 15+ 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 …...


medium.com > @mindsteps.alex > programming-%E7%9A%84-dry-%E5%92%8C-wet-%E6%98%AF%E4%BB%80%E9%BA%BC-eb69108e66a0

Programming 的 DRY 和 WET 是什麼?

8+ hour, 43+ 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 »...


medium.com > @infoinletdev.five > the-steelman-when-an-ai-agent-actually-earns-its-complexity-e46b645bb708

The Steelman: When an AI Agent Actually Earns Its Complexity

8+ hour, 43+ 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 …...