I recently decided to give my 8 year old Hugo website a serious refresh. The trigger was simple: I still used the first Hugo theme I picked up 8 years ago, some content menu options didnāt actually do anything or were no longer relevant. Then I also had screenshots and other image files all over the place (5 different folder locations, duplicate image file names and alike).
Instead of doing this modernization and cleanup manually over a few weekends, I used GitHub Copilot as an active engineering partner to accelerate the full modernization journey.
Syncing MCP config from VS Code to Copilot CLI in a few simple steps.
Hey awesome people,
Over the last weeks, Iāve been jumping between VS Code and Copilot CLI a lot more than usual. One thing kept annoying me: my MCP setup was perfect in VS Code, but I had to keep tweaking pieces again in CLI.
If that sounds familiar, good news: if you already have MCP servers working in VS Code, you can reuse most of that setup in GitHub Copilot CLI.
In this post, I want to share my review of Azure for Developers (Third Edition) by Kamil MrzygÅĆ³d, published by Packt Publishing and available on Amazon as well as other e-book subscription platforms.
This definitive guide focuses on creating secure, scalable Azure apps with GenAI, serverless, and DevOps pipelines, making it an essential resource for developers looking to build modern cloud-native applications on Azure with the latest technologies.
Iām usually pretty excited about AI and more specifically about Generative AI, especially with Microsoft Copilot, GitHub Copilot and Microsoft Foundry. I might be biased, but outside of my professional interactions with GenAI, Iām not into all the social media hypes around it (anyone remembers the Studio Gihbli hype from summer or any similar?)
With a few days off for Thanksgiving here in the USA, I wanted to spend a bit more time on updating my Spotify playlists. While not always perfect, at least a few of the ārecommended artistsā are closely in line with the artists and songs I like.
For about a year now, Iāve been teaching a lot on GitHub Copilot as part of my Microsoft role. Our program offers 2 different learning paths, one created by the Microsoft Content developers, AZ-2007, and the other one is managed by GitHub Content team, known as GH-300.
If you know my approach to teaching tech a bit, which a learner in my class lately called inspiring through technology, it means Iām trying to explain as much as possible through compelling, live demos. After walking learners through different GitHub Copilot features such as documenting/explaining code, generate application code (on different development frameworks), but also Azure CLI, CI/CD pipeline, Dockerfile, YAML, JSON and alike, I usually close with Agent Mode.
Out of my role as a Lead Technical Trainer at Microsoft, the portfolio of trainings Iām covering has heavily shifted to Azure AI and Copilot over the last few months. Still doing Azure Architecture and Developing courses as well, but not as frequent anymore. This confirms the interest we see at customers in adopting Generative AI solutions. Apart from Copilot in M365, or using Azure AI Foundry, I also started digging into Copilot Studio a lot more. Having a good background in Azure LogicApps and a bit of PowerPlatform, Copilot Studio feels quite comfortable to me.
Over the last few months, Iāve been working on an exciting project for our Microsoft Technical Trainer team, known as āTrainer-Demo-Deployā, a catalog of Azure end-to-end demo scenarios, available as an Open-Source project.
While we managed to get about 50 templates live, there can never be enough scenarios to integrate into your Azure classes or POC activities if you ask me. One of the challenging tasks in the project is not only coming up with demo ideas, but also creating the actual artifacts, such as Azure templates with Bicep, sample apps and sample data.
The Insiderās Guide to Innovation at Microsoft, written by Dean Carignan and JoAnn Garbin, and published by PostHillPress publishers, explores the innovation strategies and practices at Microsoft over the past 50 years.
When I heard about this book, I ordered myself a copy during pre-order, and got excited from the day I got it in the mail. This was honestly one of the few books I read cover to finish in just a weekend.
Hey folks,
Welcome to #AzureSpringClean, an initiative from Joe Carlyle and Thomas Thornton which celebrates its 4th edition this year. Iām thrilled to be part of this again for the 3nd time this year. My first article had security in mind, explaining the difference between Azure Service Principals and Managed Identity.
My 2nd article focused on understand DevSecOps, and how you can optimize security in your application deployment lifecycle, by āshifting leftā. (https://www.007ffflearning.com/post/azure-spring-clean---devsecops-and-shifting-left-to-publish-secure-software/)
In this post, I want to share my review of my next technical book I read recently, Azure Cookbook this time from Massimo Bonammi and Marco Obinu published by BPB Online and available on Amazon as well as other e-book subscription platforms.
I have the joy of calling both fine Italian gentlemen my friends and colleagues for a few years already. I bumped into Marco around 2017 when I was delivering an Azure Architect workshop for his employer. Massimo was one of my EMEA colleagues in the Microsoft Technical Trainer team and we had the pleasure of delivering a few in-person training days together before COVID. Marco joined the Technical Trainer team about 2 years later, when I was already relocated to the USA.
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