Articles & Tutorials
149 technical articles covering AI, Machine Learning, Cybersecurity, Data Science, and Programming. Practical guides, tutorials, and deep dives — written for developers.
38 articles in Cybersecurity · Rust
OAuth 2.0 Explained for Beginners
Key Takeaway --> OAuth 2.0 is an authorization framework — it lets users grant third-party apps limited access to their data without shari…
JWT Explained: Header, Payload and Signature
Key Takeaway --> A JWT is three Base64URL-encoded parts separated by dots: header (algorithm), payload (claims), and signature (integrity)…
How HTTPS and TLS Actually Work
Key Takeaway --> HTTPS is HTTP running over TLS. The TLS handshake performs three critical functions in a single exchange: negotiating enc…
RAG Security: Protecting Vector Stores and Preventing Data Leakage
Key Takeaway --> RAG systems create unique security challenges because they connect AI models to your data. Protecting vector stores requi…
From RAG Prototype to Production: Building Reliable AI Knowledge Systems
Key Takeaway --> Moving a RAG system from prototype to production requires far more than better prompts. Production readiness demands secu…
GGUF Explained: The Practical Guide to Local LLM Model Files
GGUF (GPT-Generated Unified Format) is the standard file format for running LLMs locally. It packages model weights, metadata, and tokenize…
Why AI Governance Frameworks Matter
AI governance frameworks are not one-size-fits-all. Laws are mandatory, standards are certifiable, frameworks are voluntary guidance, and b…
Why AI Audit Trails Matter
AI audit trails provide accountability for automated decisions, but logs themselves can contain sensitive data. Developers must balance tho…
AI-Assisted Vulnerability Detection: Can Machine Learning Find Security Bugs?
Key Takeaway AI is a powerful security tool, not a replacement for security tools. AI-assisted vulnerability detection excels a…
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…
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…
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…