Articles & Tutorials
149 technical articles covering AI, Machine Learning, Cybersecurity, Data Science, and Programming. Practical guides, tutorials, and deep dives — written for developers.
47 articles · Rust
Local AI on a 16GB RAM Laptop: Practical Models, Settings and Optimization
With 16GB RAM and the right model selection, you can run useful local AI for chat, coding, summarization and document Q&A — entirely on you…
The 15 AI Security Domains
AI security is not one problem — it is 15 interconnected domains. From prompt injection to sandboxing, each requires specific defenses. Thi…
The Shift: From Implementation to Judgment
Key Takeaway --> 🎯 Key Takeaway AI agents change how you implement software — not what you need to know. Architecture, design patterns, A…
The Core Principle
Key Takeaway --> 🎯 Key Takeaway AI coding agents are powerful tools, but they need guardrails. Before running any agent: create a feature…
The Complete Loop
Key Takeaway --> 🎯 Key Takeaway Function calling lets an LLM decide which external tool to use and what arguments to pass — but the appli…
Free-Form vs Structured Output
Key Takeaway --> 🎯 Key Takeaway LLMs produce free-form text by default. To build reliable applications, you need structured output: valid…
Why "Looks Good" Is Never Enough
Key Takeaway --> 🎯 Key Takeaway Evaluating a RAG system requires measuring retrieval quality, answer faithfulness, and system performance…
AI → Machine Learning → Deep Learning
Key Takeaway A Large Language Model (LLM) is a neural network trained on massive text data to predict the next token in a sequence. It does…
What Is Prompt Engineering?
Key Takeaway Prompt Engineering is the skill of communicating effectively with AI models. It is not about finding a "magic phrase" — it is …
The Color-Blind Verifier: A Simple Analogy
Zero-knowledge proofs (ZKPs) let you prove you know something without revealing what you know. They're used in password authentication, blo…
Build a Production-Style Python CI Pipeline
Key Takeaway --> A production CI pipeline goes beyond running tests. It combines pytest for correctness, linting for code quality, securit…
Docker Security for Developers: 15 Practical Rules
KEY TAKEAWAY Docker containers run with permissive defaults. Run as non-root, use minimal base images, never embed secrets, scan for vuln…