Agentic Platform Engineering for SaaS.  Accelerating the Path to Market with Git-APE If you are an ISV building SaaS on Azure, the first demo is usually the easy part. The harder work is turning that proof of concept into a secure, scalable, commercial-ready service that can be operated confidently in production. That gap shows up quickly. T...

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...

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...

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...