When enterprises move generative AI from demos to real business workloads, the hardest question is usually not whether a model can answer a prompt. The harder question is whether the whole system can...

🧠 What is MCP (Model Context Protocol)? MCP is a standard interface that allows AI agents to securely interact with external systems such as Azure DevOps/ With MCP: Azure DevOps capabilities...

In the first part - Introducing PII Shield: A Privacy Proxy for Every LLM Call - we introduced PII-Shield as a privacy proxy that detects sensitive data, applies configurable anonymization strategies...

The shift: from "AI helps me code" to "AI authors my repo" For two years we've been talking about GitHub Copilot as an inline pair programmer — a clever autocomplete that lives in your editor. That...

The Use Case: Why Genie Needs to Live in Teams Every organization has business users who need data answers — fast. Marketing managers want to know which campaign drove the most conversions last qua...

Testing AI agents is crucial for ensuring reliability and accuracy in production. Evaluation is a technique to evaluate your agents. Different type of evaluation are # Evaluation Type ...

A Moment That Made Me Pause I was recently building an Agent service with the GitHub Copilot SDK. After getting it up and running, I went back through the execution logs and something jumped out at...

Why do we need a utility like PII Shield? Let’s start with an uncomfortable truth: modern AI systems are swimming in sensitive data - often without us fully realizing the risks we’re taking. ...

Automation First, But Trust Is Earned Enterprise QA teams today are automation‑led by default. Regression suites run daily, API tests validate integrations, and UI automation protects critical work...

The Traditional QA Bottleneck In complex enterprise systems, QA teams often face familiar challenges: Time‑consuming test case creation from evolving requirements Repetitive automation script...