An agent can produce a convincing answer while the system around it is still difficult to deploy, authorize, debug, and recover. For AI engineers and developers, that is often the real gap between a ...

1. The story starts with someone who doesn't write code Let me start with a scene I keep running into at community events. Late last year, after a meetup, I got an email. The sender wasn...

In the rapidly evolving landscape of generative AI, large language model (LLM) evaluations have matured into standardized benchmark suites, Elo leaderboards, and automated judge pipelines. Howev...

TL;DR: Azure Managed Redis has no capacity-reporting API. This PowerShell poller safely rotates real creation attempts across approved regions and SKUs until one succeeds.  Who this is for: Azure p...

We recently hosted MCP Live!, a free half-day event featuring the people building the Model Context Protocol and putting it into practice. The Model Context Protocol (MCP) is the open standard for ...

When an agent can use tools, untrusted content can influence requests to access sensitive data or change external systems. A retrieved document might tell the agent to send a file to an external addr...

Difficulty: Intermediate   A support email arrives with a product name, an error code, and a country. Before anyone can help, someone has to interpret the request, find the right team, record the...

Opening scene: a three-minute bug fix that is still unsafe for an enterprise ByteCraft AI is a four-person startup. Maya is the co-founder and AI engineer, Arun leads product, Ethan owns the platfo...

September 3, 2026 - AI can generate thousands of lines of code in minutes. Understanding what it changed across your application, and whether it is ready to deploy, takes far longer. The Microsoft Az...