Safe coding is a collection of software design practices and patterns that allow for cost-effectively achieving a high degree ...

See how long-tail Google Search Console queries reveal AI-style prompts, plus a regex trick and ways to turn raw data into tracking insights.

AI-driven discovery depends on semantic depth and retrievable structure. Align language, taxonomy, and schema for modern search visibility.

This instruction tells Google to remove the AI summary. It’s called a search operator, which you may already be familiar with as a concept. Typically, the minus sign tells the engine to ignore the ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

Microsoft warns of AI recommendation poisoning where hidden prompts in “Summarize with AI” buttons manipulate chatbot memory and bias responses.

Despite the hype around AI-assisted coding, research shows LLMs only choose secure code 55% of the time, proving there are fundamental limitations to their use.

The hyperscalers were quick to support AI agents and the Model Context Protocol. Use these official MCP servers from the major cloud providers to automate your cloud operations.

Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.

To protect private information stored in text embeddings, it’s essential to de-identify the text before embedding and storing it in a vector database. In this article, we'll demonstrate how to ...

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they perform.