Jun 22, 2026 in ai-coding β A vector database stores data as vectors (embeddings) and finds items by meaning, not exact match. What it is, how similarity search works, how it differs from a normal database, and why RAG and AI search depend on it.
Jun 22, 2026 in ai-coding β Claude and ChatGPT are the two leading AI assistants in 2026. An honest comparison: where each one is stronger for writing, coding, reasoning and everyday use, plus pricing and privacy, so you can pick the right one.
Jun 21, 2026 in ai-coding β Vibe coding means describing what you want in plain language and letting an AI write the code β iterating on the results instead of reading every line. Where the term came from, how it works, and the honest line between a fast prototype and a maintenance trap.
Jun 21, 2026 in ai-coding β MCP (Model Context Protocol) is an open standard that lets an AI model connect to external tools, data and apps through one common interface β often called 'USB-C for AI'. What MCP is, why it matters, and how it works, in plain terms.
Jun 20, 2026 in ai-coding β AI detectors flag text as machine-written using signals like perplexity and burstiness, trained classifiers, and watermarking. How they actually work, why their false-positive rates are high, and what they're really worth.
Jun 20, 2026 in ai-coding β AI agents don't just answer β they act: browsing, running code, and calling tools on your behalf. That autonomy is the security problem. The real risks of AI agents in 2026 β prompt injection, over-scoped permissions, data exfiltration β and the practical steps to lock them down.
Jun 19, 2026 in privacy-tooling β Is ChatGPT safe to use? It depends what you mean by safe β data privacy, account security, accuracy, and scams are separate questions. What the real risks are, what's overblown, and how to use ChatGPT safely.
Jun 19, 2026 in ai-coding β Yes β by default ChatGPT saves your conversations, and they can be used to improve OpenAI's models unless you opt out. What's stored, how training works, Temporary Chat and deletion, the free vs Team vs API differences, and the privacy steps that actually help.
Jun 19, 2026 in privacy-tooling β AI tools are useful because they ingest your data β which is exactly the privacy problem. What AI services do with your inputs, how training and retention work, the real risks, and the practical ways to keep your data private while still using AI.
Jun 18, 2026 in ai-coding β What is an AI agent and how does it work? A clear, honest explanation of agentic AI in 2026 β agents vs chatbots vs LLMs, the perception-action loop, tools and memory, real use cases, and the limits.