Articles & Tutorials
149 technical articles covering AI, Machine Learning, Cybersecurity, Data Science, and Programming. Practical guides, tutorials, and deep dives — written for developers.
57 articles in Cybersecurity · Git
What Is llama.cpp?
llama.cpp is a plain C/C++ inference engine that runs LLMs on CPU without any dependencies. It is the foundation behind most local AI tools…
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…
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…
Why Fair Benchmarking Matters
Key Takeaway --> 🎯 Key Takeaway Fair benchmarking requires controlled conditions: same repository, same commit, same task, same configura…
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 Four Stages
Key Takeaway --> 🎯 Key Takeaway AI coding tools evolved through four stages: autocomplete finishes your lines, chat answers questions, as…
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 20 AI Agent Projects
AI agents aren't just chatbots. They're systems that observe, plan, act, evaluate, and iterate. Building 20 progressively complex agents te…
The 20 Defensive Projects
You don't need to hack anything to build a strong cybersecurity portfolio. Defensive projects — log analyzers, encryption tools, SIEM setup…
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 8-Stage Cybersecurity Roadmap
Cybersecurity in 2026 requires a layered learning path: networking fundamentals, Linux proficiency, security principles, web security, cryp…
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…