Physics has always been one of those subjects that feels like a maze of invisible forces and abstract variables. To make learning more intuitive, I recently launched Physics AI Slover, a specialized platform designed to provide step-by-step solutions and visual derivations for students struggling with mechanics, electromagnetism, and thermodynamics. Solver Mode is for that 2 AM panic when you ju
More rules should mean better output. That's the intuition. I spent weeks building a comprehensive CLAUDE.md — 200 lines covering naming conventions, security rules, error handling, architectural patterns, import ordering, type safety requirements, and more. I was proud of it. I'd thought through every scenario. Then I scored the output. 79.0 / 100. My carefully crafted documentation was actively
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🌟 مراجعة كورس Teaching AI Fluency من Anthropic كلنا نتحدث عن الذكاء الاصطناعي، لكن كم منا يعرف كيف يُعلِّمه بشكل صحيح؟ أنهيت للتو كورس Teaching AI Fluency من Anthropic، وكان مختلفاً عن كل ما توقعته. الكورس لا يتحدث عن "كيف تستخدم الذكاء الاصطناعي" بل عن كيف تُصمّم تجارب تعليمية حوله — وهذا فرق جوهري. حلقة التفويض والحرص (Delegation-Diligence Loop): متى تثق بالذكاء الاصطناعي ومتى تتحقق. حلقة
Have you ever looked at code you wrote six months ago and thought: "Who wrote this monster?"? Relax, it happens to all of us. In software engineering, writing code that a machine understands is the easy part. The real challenge is writing code that other humans (including your future self) can understand, maintain, and scale. This is exactly where Software Design Principles come into play. In this
Part 1 of 5 in The New Engineering Contract — what it means to lead engineers when AI is doing more of the coding. SWE-CI tested 18 AI models across 71 consecutive commits. Most broke something on commit 47 they'd already broken on commit 1. That's not an intelligence problem. That's a learning system that isn't learning. A paper made me uncomfortable this month. Not because of what it found about