Articles & Tutorials

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

Active filters: MCP × Clear all

49 articles · MCP

Cybersecurity Code

Is AI-Generated Code Secure? A Developer Security Checklist

Key Takeaway AI-generated code is not automatically secure. LLMs produce syntactically correct code that often contains securit…

Python JavaScript LLMs
Read →
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
Read →
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
Read →
Cybersecurity Code

AI Agent Skills and Plugins: How Developers Should Evaluate Third-Party Extensions

Key Takeaway Not all AI agent skills and plugins are safe. Before installing any third-party extension, evaluate it across six …

Python Docker MCP
Read →
Cybersecurity Code

AI Agent Supply-Chain Security: Protecting Models, Tools, Skills and Dependencies

Key Takeaway AI agents depend on a complex supply chain of models, packages, MCP servers, skills, plugins, repositories, and co…

Python JavaScript Docker
Read →
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
Read →
Cybersecurity Code

Prompt Injection Explained: How AI Applications Can Be Manipulated

Key Takeaway Prompt injection is the #1 vulnerability in LLM applications (OWASP LLM Top 10 2025). It occurs when an attacker m…

LLMs RAG Prompt Injection
Read →
AI & Machine Learning Code

MCP vs Function Calling vs Plugins: Understanding AI Tool Integration

Key Takeaway Function calling is ideal for simple, single-vendor integrations. MCP excels at scalable, cross-model tool ecosyst…

Python LLMs GPT
Read →
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
Read →
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
Read →
Cybersecurity Code

Why Build MCP Servers?

Key Takeaway --> 🎯 The best way to learn MCP is by building. These 10 projects progress from beginner to advanced, teaching Python,…

Python Docker RAG
Read →
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
Read →

Discuss with the Community

Have questions about these topics? Join the BestWordz Community.