Hello, good evening, this is Yasharia!Recently, there is a conversation I often hear in the engineering community."If AI ...

LLMs will write your code and break your budget. Take advantage of model routing, semantic caching, prompt caching, reranking ...

DB clients tend to be a chaotic mix of tools that vary slightly from team to team. Mac users have TablePlus, Windows users have HeidiSQL, and checking on Linux servers is done by typing directly into ...

A range of AI trust, guardrail, and red-teaming platforms is emerging to help control and secure the LLMs and agents deployed across your enterprise. Here’s an overview of the most promising tools ...

As app developers, our primary focus is building great user experiences, designing APIs, and shipping features quickly. What we don’t want is database friction—wasting hours configuring local DB ...

Excel Off The Grid explores a lesser-known yet highly effective method for streamlining formula entry in Excel: using AutoCorrect to create short codes for commonly used formula segments. This ...

Beginning his professional journey in the tech industry in 2018, Yash spent over three years as a Software Engineer. After that, he shifted his focus to empowering readers through informative and ...

Vector databases have graduated from experimental tooling to mission-critical infrastructure. In 2026, vector databases serve as the core retrieval layer for RAG pipelines, semantic search systems, ...

Placing SQL MCP Server between your AI agent and your SQL database lets your agent interact with data through a controlled API surface instead of direct database access. Built on Data API builder (DAB ...

Tony Phillips is an experienced Microsoft Office user with a dual-honors degree in Linguistics and Hispanic Studies. Prior to starting with How-to Geek in January 2024, he worked as a document ...