Showing archive results for 2026

Applications often need to know what data looked like before. Who changed it, when it changed, and what the previous values were. Rebuilding that history in application code is tedious and error prone. This is especially valuable when exposing a database to an AI agent through MCP servers like SQL MCP Server, where information discovery matters. ...

Applications often need access to data without needing access to everything. Social Security numbers, email addresses, and phone numbers are common examples. Storing them is required. Exposing them broadly is not. This is especially valuable when exposing a database to an AI agent through MCP servers like SQL MCP Server, where safety and reversibil...

Sometimes applications need to remove data without actually losing it. Soft delete keeps rows in the database while making them invisible to normal application access. This is especially valuable when exposing a database to an AI agent through MCP servers like SQL MCP Server, where safety and reversibility matter. Learn more about SQL MCP Serve...

When developers hear "cloud" and "AI," their first thought is often about cost. "How much will this cost me to learn? Can I build something meaningful without racking up a surprise bill?"   Budget Bytes is a new series is designed to inspire developers to build affordable, production-quality AI applications on Azure with a budget of $25 or...

Supporting re‑ranking has been one of the most common requests lately. While not always essential, it can be a valuable addition to a solution when you want to improve the precision of your results. Unfortunately, there isn’t a universal, standardized API for a “re‑rank” call across providers, so the most reliable approach today is to issue a manua...