Showing category results for Agents

At Microsoft Build, we are sharing how Microsoft Marketplace brings development, distribution, and monetization together— so apps and agents move beyond prototyping into real-world usage at scale. Microsoft Marketplace connects tens of thousands of cloud and AI solutions built by software development companies to millions of commercial customers. ...

Removing The Monkey Work of Migration; in this post we show how Git-Ape analyses an AWS deployment repo and generates an Azure-native replacement, with design critique built in. This post walks through a real migration workflow: start with an AWS deployment repo and end with an Azure deployment repo. The goal isn’t a 1:1 syntax conversion. I...

~1,900 lines of Python. Zero dependencies. Saves you an hour a day. GitHub → ·  Now give Copilot CLI enhanced context recall. Point it at  and let it cook. 🍳 Are you tired of using the slash /compact command every 10 min? The Context Window Is a Lie Every AI coding agent ships with a big number on the box. 200K tokens. Sounds massive...

AI agents are quickly moving from experiments to production‑critical components of modern applications. But while many teams know how to build agents, far fewer are confident they’re hosting them on the right foundation. Most organizations start by deploying agents the same way they deploy microservices—containers, functions, or app services. ...

In Part 1 of this blog series set the stage for why platform engineering is being reshaped by agentic AI. (read it here) Basically we outline how instead of humans translating intent through layers of CLIs, SDKs, and bespoke workflows, capable agents can interpret natural-language goals and turn them into safe, validated platform actions using w...

If you work in field engineering, you know the scenario. A customer is deploying AKS in a regulated environment. They hit an issue during node bootstrapping. They want to know exactly what happens when a node joins the cluster, which components run in which order, and whether the behaviour they're seeing is expected. The question sounds simple. T...

And the developers running Claude Code and GitHub Copilot CLI didn't notice... Status Page Says 'Operational.' Your Subagents Say Otherwise. If you're running autonomous agents in any serious capacity, you've experienced this: model provider outages aren't edge cases — they're part of the operating environment. Anthropic has had outages. ...

For the last decade, platform engineering has relied on explicit API interaction layers: CLIs, SDKs, pipelines, wrappers, and UI workflows that translate human intent into machine‑safe API calls. AI agents are now short‑circuiting much of that stack. By combining natural language understanding, reasoning, and direct access to API specifications and...

We are currently living through the "fragmentation phase" of the AI revolution. If you’re a developer, you know the drill: You have Claude Code open for reasoning. You have ChatGPT open for logic checks. Then you drop into your terminal to actually build the thing—manually copy-pasting context between three different windows. We call this...

How to read this article This article is a reflection based on hands-on experience and is written for engineers and technical leaders who are facing a new application modernization effort and want to build a realistic mental model before reaching for tools. If you are new to application modernization, I recommend reading the article end to end. T...