Moka AI: Azure Infrastructure That Doesn’t Stop at Code Azure infrastructure doesn’t fai...

Here is the graph showing the overall scores—as of Jan 4, 2026—of the UI definition of all Azure Application plans (Managed Apps or Solution Templates) in the Microsoft Marketplace....

Here is the graph showing the overall scores—for the week of Dec 8, 2025—of the UI definition of all Azure Application plans (Managed Apps or Solution Templates) in the Microsoft Marketplace....

Here is the graph showing the overall scores—for the week of Dec 1, 2025—of the UI definition of all Azure Application plans (Managed Apps or Solution Templates) in the Microsoft Marketplace....

Here is the graph showing the overall scores—for the week of Nov 24, 2025—of the UI definition of all Azure Application plans (Managed Apps or Solution Templates) in the Microsoft Marketplace....

Here is the graph showing the overall scores—for the week of Nov 17, 2025—of the UI definition of all Azure Application plans (Managed Apps or Solution Templates) in the Microsoft Marketplace....

Here is the graph showing the overall scores—for the week of Nov 10, 2025—of the UI definition of all Azure Application plans (Managed Apps or Solution Templates) in the Microsoft Marketplace....

Here is the graph showing the overall scores—for the week of Nov 3, 2025—of the UI definition of all Azure Application plans (Managed Apps or Solution Templates) in the Microsoft Marketplace....

When deploying Azure Managed Applications, CreateUiDefinition.json files are essential. They define the user interface for your solution, guiding users through configuration options in the Azure portal. But let’s be honest—writing these files manually can be time-consuming and error-prone....

While this is not news at all since natural language use for generating Infrastructure as Code has been going on for the last 3+ years, the title is a depiction of the reality that is taking shape alongside and in-sync with the evolution and progress of foundation models. It's true that the foundation models, specifically Large Language Models (LLM), including the recent reasoning type LLMs, are still not quite ready to produce production-ready code on their own, the state of the AI coding assistant industry has improved the output quality so much in recent months by using several hybrid techniques to augment foundation models with fine-tuned, domain-specific or domain-adapted models, as well as leveraging workflows orchestrating a plethora of tools. Some scenarios are even leveraging non-Transformer architecture-based AI along with custom machince learning (ML) worflows for training and inference. As more effort is now being devoted to R&D vs. hype, we're seeing incredible progress, especially great results from our own R&D lab, which we've been showcasing in our products....