Articles & Tutorials

149 technical articles covering AI, Machine Learning, Cybersecurity, Data Science, and Programming. Practical guides, tutorials, and deep dives — written for developers.

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45 articles in Cybersecurity · HTTPS

Cybersecurity Code

Protecting API Keys and Secrets in AI Coding Workflows

Key Takeaway Never commit secrets to source control. API keys, database credentials, and tokens should be stored securely using…

Python LLMs MCP
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Cybersecurity Code

AI Coding Agent Security Checklist: Claude Code, Cursor and Beyond

Key Takeaway AI coding agents require careful security configuration. Whether you use terminal agents like Claude Code or AI ID…

Python Docker Prompt Injection
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Cybersecurity Code

Indirect Prompt Injection: When Websites and Documents Attack AI Agents

Key Takeaway Indirect prompt injection occurs when an AI agent processes untrusted external content that contains hidden malici…

LLMs RAG Prompt Injection
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Cybersecurity Code

The Privacy Problem with Cloud AI

Key Takeaway --> 🎯 You can build a fully private AI agent that runs entirely on your local machine—local LLM + MCP server + local t…

Python LLMs GPT
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Cybersecurity Code

The Problem: AI Without Context

Key Takeaway --> 🎯 RAG retrieves relevant knowledge from your documents. MCP connects AI agents to tools and data sources. Together…

Python Docker Kubernetes
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Cybersecurity

Why MCP Security Matters

Key Takeaway --> 🎯 MCP introduces new attack surfaces for AI systems. This 25-point checklist covers authentication, authorization,…

Prompt Injection MCP AI Agents
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Cybersecurity Code

First, What Is an API?

Key Takeaway --> 🎯 APIs connect applications to services. MCP connects AI agents to tools and data. MCP isn't replacing APIs—it's a…

Python TypeScript LLMs
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Cybersecurity Code

The Fundamental Question

Terminal AI agents and AI-native IDEs are not competing technologies—they're complementary workflows. Claude Code excels at automation, Git…

Python GPT Prompt Injection
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Cybersecurity Code

The "Works on My Machine" Problem

Docker lets students create reproducible Python environments that work identically on every machine. By packaging Python, dependencies, and…

Python Docker RAG
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