Spec-Driven Development for AI-Enabled Enterprise Systems How to make specs the single source of truth for your React frontends, backend services, data, and AI agents. If you are building ...

As artificial intelligence continues to evolve, teams are prioritising rapid advancements and deployment of applications while often overlooking security considerations. Emerging threats such as prom...

Your AI agent works great… until it doesn't. AgentEval catches the failures before your users do. The biggest problem for Agentic Engineers Shipping an AI agent feels great — until you hit t...

Project Overview Hi I'm Shoib Muhammad an MEng Mathematical Computation student at UCL, I set out to tackle one of the most persistent challenges in modern cities: traffic congestion. In London alo...

Scenario Imagine you are building your company’s RAG chat application using Microsoft Foundry - Azure OpenAI and orchestrating the flow with LangChain. The chat experience works, but now it needs t...

  The Gap Between a Demo and a Production Agent Let's be honest. Getting an AI agent to work in a demo takes an afternoon. Getting it to work reliably in production, tested, containerised, deploy...

Most agent failures do not look like breaches. They look like a normal chat, a normal answer, and a normal tool call. Until the next morning, when a single question collapses the whole story: who a...

Introduction Charlotte Yeo, UCL MEng Computer Science https://www.linkedin.com/in/charlotte-yeo-627476294/ Supervisors: Janaina Mourao-Miranda (UCL) and Lee Stott (Microsoft). For my final-year...

Agents are easy to demo, hard to ship. Most teams can put together a convincing prototype quickly. The harder part starts afterwards: shaping deterministic tools, validating behaviour with t...

If you want to start building AI applications on your own machine, the Microsoft Foundry Local Lab is one of the most useful places to begin. It is a practical workshop that takes you from first-time...