Articles & Tutorials
149 technical articles covering AI, Machine Learning, Cybersecurity, Data Science, and Programming. Practical guides, tutorials, and deep dives — written for developers.
65 articles · Git
The Modern AI-Assisted Workflow
Key Takeaway --> 🎯 AI agents can handle implementation, testing, and commits—but the human remains responsible for requirements, se…
Four Levels of AI Assistance
Key Takeaway --> 🎯 The evolution from autocomplete to agents isn't about replacing developers—it's about shifting the developer's r…
The 2026 Reality
Key Takeaway --> 🎯 The best learning strategy in 2026 combines strong fundamentals with strategic AI usage. Learn to code first, th…
The Double-Edged Sword
Key Takeaway --> 🎯 AI coding agents make junior developers more productive, but productivity without understanding creates fragile …
More Than a Chatbot
Key Takeaway --> 🎯 AI coding agents are not just chatbots with file access. They operate through a continuous loop: LLM plans → sel…
From Prompt Crafting to System Design
Key Takeaway --> 🎯 Context engineering is the skill of designing what an AI system knows, sees, and can do. While prompt engineerin…
The Fundamental Question
Terminal AI agents and AI-native IDEs are not competing technologies—they're complementary workflows. Claude Code excels at automation, Git…
The "Works on My Machine" Problem
Docker lets students create reproducible Python environments that work identically on every machine. By packaging Python, dependencies, and…
Why Do We Need Vector Databases?
Vector databases are specialized systems for storing and searching embedding vectors. FAISS is a high-performance library for in-memory sim…
Keyword Search vs Semantic Search
Semantic search finds documents by meaning, not just keywords. By building a search engine from scratch — embedding documents, computing co…
What Is a Wordlist?
Key Takeaway Password guessing and dictionary attacks remain among the most common ways authentication systems are tested. Understanding ho…
Can AI Really Run Without a GPU?
You don't need a GPU or a cloud API to start working with modern AI. A consumer CPU, sufficient RAM, an efficient inference runtime, and ca…