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...

Architecture Overview Alt text: Architecture diagram showing Blob Storage triggering Azure Function, calling Document Intelligence, transforming data, and storing in Cosmos DB Flow: Uplo...

Why Copilot Spaces + Markdown repos work so well When you ask Copilot generic questions (“How should we log errors?” “What’s our API versioning approach?”), the model will often respond with reason...

In the last year, many of us have started writing code differently. We describe what we want, let AI generate an answer, review it, tweak the prompt, and try again. This loop—prompt, retry, adjust—...

Stop Managing SonarQube Issues One by One, Introducing SonarPilot Introduction If you've worked on a large projects, you know the feeling. You open your SonarQube dashboard, and you're staring ...

Introduction The rise of AI-powered development is no longer just about autocomplete—it’s about autonomous agents that can think, act, and collaborate. At the center of this transformation is the A...

Integrating image generation into a production AI application has historically meant juggling multiple surfaces — browsing models in the Foundry portal, setting up deployments via the Azure CLI, test...

By Minseok Song and Hiroshi Yoshioka (Microsoft MVPs)   TL;DR Recent community feedback, especially from Japanese translations, revealed that many translation failures were not semantic, but ...

As enterprise teams build AI agents, the hardest design decisions often have nothing to do with models. Instead, they revolve around a more fundamental question: How should an agent access organiza...