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August is supposed to be the quiet one.
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Summer months in .NET usually have a certain rhythm: a preview lands on Patch Tuesday, a few CVEs get closed, everyone goes on vacation.
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Last month I closed with the observation that Build 2026 was kicking off and that this edition would be a very different kind of busy.
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Ich habe hier zweimal über GitHubs Pricing-Manöver geschrieben: einmal über den 7,5x-Malus für Opus 4.7, einmal über die Umstellung auf usage-based billing, die ich damals als "aus Subscription wird Prepaid-Karte" beschrieben habe.
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May was a quieter month on the headline front than April, but the quiet was the productive kind.
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April was the kind of month where the headlines could have come out in any order and you would still have called it a busy one. .NET 11 Preview 3 landed and pushed Runtime Async out of the preview gate.
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Vor neun Tagen habe ich hier über GitHub Copilot, Opus 4.7 und den 7,5x-Malus geschrieben.
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For the longest time, running LLMs locally on a Mac felt like a compromise.
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Als Pro+-Nutzer von GitHub Copilot habe ich die letzten Tage mit einer gewissen Fassungslosigkeit verfolgt, was da bei GitHub passiert.
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March was busy in a way that non-launch months usually aren't. .NET 11 Preview 2 landed on March 18 and gave the next release some actual shape.
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February was one of those .NET months where you look away for a few days and suddenly the whole stack seems to have moved at once.
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Thirteen years ago, I wrote a blog post called "Ask a Ninja: Is the Googlevelopment Approach Bad?".
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Some months you look back on and think: right, nothing happened.
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Git gives us a simple but effective way to retroactively correct small oversights with the fixup option, so they're no longer noticeable at all.
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December was not the month for big stage demos and shiny keynote headlines.
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Wer im letzten Jahr Dokumentation, Terraform-Templates oder Schulungsmaterial für Microsofts KI-Plattform geschrieben hat, kennt das Gefühl: Du bist gerade fertig, alles ist sauber verlinkt und referenziert — und dann benennt Microsoft den ganzen Laden um.
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November 2025 was the month where the preview phase stopped being theory and turned into actual decisions. .NET 10 shipped.
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Microsoft hat auf der Ignite 2025 eine Partnerschaft angekündigt, die das Azure-Ökosystem grundlegend verändert: Anthropics Claude-Modelle sind ab sofort über Microsoft Foundry verfügbar.
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Bei der .NET Developer Conference (DDC) in Köln habe ich "p"AI"r-Programming statt Vibe-Coding: Wie hole ich das Beste aus AI-Assistenten beim Entwickeln heraus?"
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Writing log files seems trivial at first glance.
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October 2025 wasn't the month for flashy .NET drama.
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Wer mit den Azure OpenAI SDKs arbeitet, hat es in den letzten Monaten sicher gemerkt: Es bewegt sich gerade viel.
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Wer in den letzten sechs Monaten nicht aufgepasst hat, steht jetzt vor einer Modell-Landschaft, die selbst erfahrene Azure-Nutzer erstmal sortieren müssen.
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Auf der EKON 29 in Düsseldorf habe ich außerdem "AI-Assisted Coding – Der Code-Editor wird zum Partner!"
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Die EKON 29 in Düsseldorf -- dort habe ich meinen Vortrag "AI Agents in Action: LLMs, Tools und Reasoning" gehalten.
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September 2025 was one of those .NET months where you open your feed, take one sip of coffee, and realize half the stack has moved.
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I gave a talk on "Agents in Action: LLMs, Tools & Reasoning" at BASTA!
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If you ignored the .NET news cycle for a few weeks in August 2025, the catch-up list is surprisingly manageable.
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With the introduction of async/await in C# 5 (2012), asynchronous programming based on Tasks became significantly easier.
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If you spent two or three weeks heads-down in a project and ignored the .NET news cycle for a moment, July 2025 probably felt a bit rude.
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Wer in den letzten Monaten mit AI-Agenten gearbeitet hat, kennt das Muster: Du willst, dass dein Agent ein externes System aufruft — eine API, eine Datenbank, ein internes Tool.
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Wer in den letzten Monaten mit Kunden aus dem Gesundheitswesen, der Finanzbranche oder dem öffentlichen Sektor über KI gesprochen hat, kennt den Moment: Die Begeisterung ist da, die Use Cases liegen auf dem Tisch — und dann kommt die Frage: "Wo liegen die…
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At the WeAreDevelopers World Congress in Berlin, Christian Weyer and I ran the workshop "From Zero to Hero: How to put GPT LLMs and friends into your applications".
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June 2025 was one of those months where the .NET ecosystem did not produce one single gigantic headline.
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If you took a few days off in May and then looked back at the .NET world, you may have had the same reaction I had: When exactly did all of this happen?
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Auf der Build 2025 hat Microsoft den Azure AI Foundry Agent Service für allgemein verfügbar erklärt.
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April wasn't the month with the biggest new feature.
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I joined the WeAreDevelopers LIVE podcast to discuss whether AI is replacing developers, stopping bots, AI on device, and more.
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March was not one of those months with one gigantic .NET headline that overshadowed everything else.
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Auf der BASTA!
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February was one of those months where there wasn't one giant, dramatic headline that swallowed everything else.
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January is rarely the month for giant .NET fireworks.
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December is usually the month where everybody acts as if things are winding down.
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Mein Vortrag ""Talk to your Data": Bessere RAG-Lösungen – basierend auf Real-World Erfahrungen" auf der SEACON.
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If you work in the .NET world and you took a week off in November, chances are you came back to what felt like an entire release train hitting the station at once.
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Together with Marco Frodl, I ran the full-day workshop "Conquer and Rule Generative AI: GenAI Bootcamp" at MLCon in Berlin.
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Auf den InfoDays Generative AI für Developer war ich mit dem Vortrag ""Talk to your data": Bessere RAG-Lösungen – basierend auf Real-World-Erfahrungen" dabei.
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Ebenfalls auf der EKON 28 in Düsseldorf habe ich "Real-World RAG mit eigenen Daten & Dokumenten – Generative AI, Semantische Suche & LLMs jenseits von "Hallo Welt!""
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Bei der EKON 28 in Düsseldorf durfte ich meinen Vortrag "Prompt Injections, Halluzinationen & Co. – LLMs sicher in die Schranken weisen" halten.
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I also gave a talk at the Gen AI Engineering Days: "Talk to your data" -- improving RAG solutions based on real-world experiences.