<feed xmlns="http://www.w3.org/2005/Atom"> <id>https://stefanstranger.github.io/</id><title>Stefan Stranger's Blog</title><subtitle>This is my personal blog. I work at Microsoft as a Consultant. You can find some of my open source projects on Github. I like to share my knowledge about AI, Azure, PowerShell and DevOps</subtitle> <updated>2026-07-22T16:21:04+02:00</updated> <author> <name>Stefan Stranger</name> <uri>https://stefanstranger.github.io/</uri> </author><link rel="self" type="application/atom+xml" href="https://stefanstranger.github.io/feed.xml"/><link rel="alternate" type="text/html" hreflang="en" href="https://stefanstranger.github.io/"/> <generator uri="https://jekyllrb.com/" version="4.4.1">Jekyll</generator> <rights> © 2026 Stefan Stranger </rights> <icon>/assets/img/favicons/favicon.ico</icon> <logo>/assets/img/favicons/favicon-96x96.png</logo> <entry><title>Scout + LLM-Wiki - Building a Second Brain That My Agents Can Read</title><link href="https://stefanstranger.github.io/2026/07/22/LLM-Wiki-Scout/" rel="alternate" type="text/html" title="Scout + LLM-Wiki - Building a Second Brain That My Agents Can Read" /><published>2026-07-22T00:00:00+02:00</published> <updated>2026-07-22T00:00:00+02:00</updated> <id>https://stefanstranger.github.io/2026/07/22/LLM-Wiki-Scout/</id> <content type="text/html" src="https://stefanstranger.github.io/2026/07/22/LLM-Wiki-Scout/" /> <author> <name>Stefan Stranger</name> </author> <category term="AI" /> <category term="Agents" /> <category term="Knowledge Management" /> <summary>Introduction I have been running two experiments side by side for a while now. One is a personal knowledge wiki that I want both me and my agents to read. The other is Scout, Microsoft’s enterprise take on the OpenClaw-style always-on agent, where a small crew of named AI teammates helps me get work done. This week I finally wired the two together, and it turned out to be a lot more useful tha...</summary> </entry> <entry><title>Building an Harness Agent with Microsoft Agent Framework</title><link href="https://stefanstranger.github.io/2026/06/26/BuildingAnHarnessAgentWithMicrosoftAgentFramework/" rel="alternate" type="text/html" title="Building an Harness Agent with Microsoft Agent Framework" /><published>2026-06-26T00:00:00+02:00</published> <updated>2026-06-26T00:00:00+02:00</updated> <id>https://stefanstranger.github.io/2026/06/26/BuildingAnHarnessAgentWithMicrosoftAgentFramework/</id> <content type="text/html" src="https://stefanstranger.github.io/2026/06/26/BuildingAnHarnessAgentWithMicrosoftAgentFramework/" /> <author> <name>Stefan Stranger</name> </author> <category term="AI" /> <category term="Microsoft Agent Framework" /> <category term="Agents" /> <summary>Introduction I was at AgentCon Utrecht yesterday. Eduard van Valkenburg a Senior Software Engineer at Microsoft - CoreAI and Semantic Kernel &amp;amp; Agent Framework team demoed the Microsoft Agent Framework v1.0, and the Harness Agent pattern was the thing that stuck with me most on the drive home. I’ve been building agentic solutions for a while now, from CrewAI investment analysis workflows t...</summary> </entry> <entry><title>Which GitHub Copilot CLI Model Should You Use and When?</title><link href="https://stefanstranger.github.io/2026/03/07/WhichGitHubCopilotCLIModelShouldYouUseandWhen/" rel="alternate" type="text/html" title="Which GitHub Copilot CLI Model Should You Use and When?" /><published>2026-03-07T00:00:00+01:00</published> <updated>2026-03-07T00:00:00+01:00</updated> <id>https://stefanstranger.github.io/2026/03/07/WhichGitHubCopilotCLIModelShouldYouUseandWhen/</id> <content type="text/html" src="https://stefanstranger.github.io/2026/03/07/WhichGitHubCopilotCLIModelShouldYouUseandWhen/" /> <author> <name>Stefan Stranger</name> </author> <category term="AI" /> <category term="Github Copilot" /> <category term="AI Models" /> <summary>TL;DR I used the LLM Council technique to have all 17 GitHub Copilot CLI models anonymously evaluate themselves and each other. Key findings: Opus models = deep reasoning, architecture decisions, “the expensive senior engineer” Sonnet models = balanced capability/speed, good default for most coding tasks Haiku / Mini models = fast execution for simple, well-defined tasks Codex models...</summary> </entry> <entry><title>What are AI Agent Evaluators and Why They Matter</title><link href="https://stefanstranger.github.io/2026/01/07/WhatareAIAgentEvaluatorsandWhyTheyMatter/" rel="alternate" type="text/html" title="What are AI Agent Evaluators and Why They Matter" /><published>2026-01-07T00:00:00+01:00</published> <updated>2026-01-07T00:00:00+01:00</updated> <id>https://stefanstranger.github.io/2026/01/07/WhatareAIAgentEvaluatorsandWhyTheyMatter/</id> <content type="text/html" src="https://stefanstranger.github.io/2026/01/07/WhatareAIAgentEvaluatorsandWhyTheyMatter/" /> <author> <name>Stefan Stranger</name> </author> <category term="AI" /> <category term="Agentic AI" /> <category term="Observability" /> <summary>Introduction I recently bought the book Designing Multi-Agent Systems: Principles, Patterns, and Implementation for AI Agents by Victor Dibia. In chapter 10 “Evaluating Multi-Agent Systems” he discusses how to build evaluation frameworks with LLM-as-judge and metrics. This was a new topic for me and wanted to learn more about what Agent Evaluators are and why they matter. This is why I wrot...</summary> </entry> <entry><title>How to use Agent Skills in Github Copilot</title><link href="https://stefanstranger.github.io/2025/12/29/AgentSkillsInGithubCopilot/" rel="alternate" type="text/html" title="How to use Agent Skills in Github Copilot" /><published>2025-12-29T00:00:00+01:00</published> <updated>2025-12-29T00:00:00+01:00</updated> <id>https://stefanstranger.github.io/2025/12/29/AgentSkillsInGithubCopilot/</id> <content type="text/html" src="https://stefanstranger.github.io/2025/12/29/AgentSkillsInGithubCopilot/" /> <author> <name>Stefan Stranger</name> </author> <category term="AI" /> <category term="Coding" /> <category term="Github Copilot" /> <summary>Introduction Why use Skills? Github Copilot and Agent Skills Getting Started with Agent Skills 1. Create a Skills Directory 2. Create a Subdirectory for Each Skill 3. Create a SKILL.md File 4. Add Resources (Optional) Example SKILL.md File Helper Scripts Reference scripts/check_uv.py scripts/setup_project.ps1 scripts/create_p...</summary> </entry> </feed>
