Articles & Tutorials
149 technical articles covering AI, Machine Learning, Cybersecurity, Data Science, and Programming. Practical guides, tutorials, and deep dives — written for developers.
52 articles in Cybersecurity · Databases
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 Five Types of Agent Memory
AI agents need different types of memory for different purposes. Conversation history remembers what was said, working memory tracks the cu…
Why the Agent Loop Matters
KEY TAKEAWAY --> An AI agent loop is a repeating cycle: Plan → Act → Observe → Evaluate → Decide (repeat or finish). This is the fundame…
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 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…
Why RAG Exists: The Hallucination Problem
RAG combines document retrieval with LLM generation. Instead of asking the model to "remember" everything, you search your documents first,…
The Core Comparison
Key Takeaway Prompt engineering controls what you ask. Context engineering controls what the model sees. Your prompt is 0.04% of what the m…
Prompt Engineering vs Context Engineering
Key Takeaway Prompt engineering controls what you ask. Context engineering controls what the model sees. When a 6-token user message trigge…
Category 1: Foundational Patterns
Key Takeaway Prompt patterns are reusable templates for common AI tasks. Mastering 15 core patterns covers 90% of real-world use cases. Eac…
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 8 Components of a Strong Portfolio
A GitHub portfolio isn't a collection of code — it's a signal to employers that you can build software, not just write scripts. Every file …
The 10-Stage Data Science Roadmap
Data science in 2026 spans far beyond machine learning. A complete data scientist needs Python, statistics, SQL, visualization, ML, deep le…