Dev Blogs
The Agentic Road to Revenue From SaaS concept to Azure Marketplace Building a SaaS application is only part of becoming a commercial software provider. To sell through the Microsoft commercial marketplace, the application also needs tenant isolation, subscription lifecycle management, billing integration, security evidence, and ...
How to read this article This article picks up where my January piece left off. My catch phrase is still the same: "only believe what you can validate". This article is about validation. If you are new to agentic AI (in modernization contexts), I would highly recommend reading The Realities of Application Modernization with Agentic AI first. Star...
Grounding an assistant in runbooks is straightforward. The harder part begins when the model proposes an action that requires authorization. An operations assistant needs stronger controls as soon as it can act. Answering "which runbook covers this alert" is a search problem. Opening an incident from that same conversation is a control...
Frameworks mean nothing, until they change what gets built! In this article we discuss how Git-Ape turns architecture and governance into delivery controls on Azure because, if frameworks do not shape delivery decisions, they are just decoration. Cloud teams do not have a framework problem. They have an execution problem. The industry is...
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...
This post is the first in a 3-part series: Bookmark this post for quick reference as you start exploring Agentic DevOps. It will be updated as the 3 parts become available. Getting started with Agentic DevOps Agentic DevOps is a new approach to software development where AI-powered agents work alongside your team across the entir...
Legacy codebases frequently contain hardcoded logic and complex build scripts that depend on specific filesystem structures, making them notoriously difficult to modernize in isolated environments. Docker Sandbox addresses this challenge through a bidirectional workspace sync that preserves the same absolute paths inside the sandbox as on the host....
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...