This week's collection of interesting articles and resources covers AI development, DevOps practices, and open source tools. From GitHub Copilot customization to local AI deployments and containerization best practices, here are the highlights worth your attention.
Top 5 MCP Server Best Practices (Ivan Pedrazas) - mCP server is a very hot topic, thinking about riding your own, here are five best practices to make sure you will be successful.
Containerize Your Apps with Ask Gordon (Steve Buchanan) - I already have Docker desktop on my Windows pc, I should definitely give Gordon a try more to come
DevOps
Local Deploy with Bicep (Sam Cogan) - A perfect short story, I'll explain why the hell bicep can now deploy locally and how to do it
Open Source
Introducing OpenCLI (Patrik Svensson) - A standard that describes CLI so both humans and agents can understand how it works. Love it!
Getting a complete CI/CD pipeline for your .NET Aspire solution doesn't have to be complicated. I've created a template that gives you everything you need to get started in minutes.
Replace the sample project with your own .NET Aspire code
Push to your GitLab repository
Watch your CI/CD pipeline run automatically
That's it! You immediately get automated builds, testing, and security scanning.
Pro Tip: The best time to set up CI/CD is when you're just starting your project because everything is still simple.
Part 2: Building the Template with GitLab Duo
Now let me share my experience creating this template using GitLab's AI assistant, GitLab Duo.
Starting Simple, Growing Smart
I didn't build this complex pipeline all at once. I started with something very basic and used GitLab Duo to gradually add features. The AI helped me:
Add secret detection when I asked: "How can I scan for accidentally committed secrets?"
Fix test execution issues when my unit tests weren't running properly
Optimize the pipeline structure for better performance
Working with GitLab in VS Code
While you can edit .gitlab-ci.yml files directly in GitLab's web interface, I prefer VS Code. Here's my setup:
Install the official GitLab extension from the VS Code marketplace
Once you've signed in, this extension gives you:
Direct access to GitLab issues and work items
AI-powered chat with GitLab Duo
GitLab Duo in Action
GitLab Duo became my pair programming partner. Here's how I used it:
Understanding Code: I could type /explain and ask Duo to explain what any part of my pipeline configuration does by highlighting that section.
Solving Problems: When my solution didn't compile, I described the issue to Duo and got specific suggestions. For example, it helped me realize some projects weren't in .NET 9 because dotnet build required the Aspire workload. I could either keep my project in .NET 8 and add a before_script instruction to install the workload or upgrade to .NET 9; I picked the latest.
Adding Features: I started with just build and test, then incrementally asked Duo to help me add security scanning, secret detection, and better error handling.
Adding Context: Using /include to add the project file or the .gitlab-ci.yml file while asking questions helped Duo understand the context better.
Learn More with the Docs: During my journey, I knew Duo wasn't just making things up as it was referencing the documentation. I could continue my learning there and read more examples of how before_script is used in different contexts.
The AI-Assisted Development Experience
What impressed me most was how GitLab Duo helped me learn while building. Instead of just copying configurations from documentation, each conversation taught me something new about GitLab CI/CD best practices.
Conclusion
I think this template can be useful for anyone starting a .NET Aspire project. Ready to try it? Clone the template at cloud5mins/aspire-template and start building with confidence.
Whether you're new to .NET Aspire or CI/CD, this template gives you a good foundation. And if you want to customize it further, GitLab Duo is there to help you understand and modify the configuration.
If you think we should add more features or improve the template, feel free to open an issue in the repository. Your feedback is always welcome!
This week, we're exploring a wide range of topics, from .NET 10 previews and A/B testing to the latest in Azure development and AI. Plus, a selection of insightful podcast episodes to keep you informed and inspired.
Docker Model Runner ( DevOps and Docker Talk: Cloud Native Interviews and Tooling) - I tried the new model feature of Docker and had many questions. All of them were answered during this episode.
Michael Washington: The Nature Of Data - Episode 353 (Azure & DevOps Podcast) - Interesting discussion about data, and a bit more about a really cool project, Michael's Data warehouse, because sometimes we need something that runs locally.
