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Frank Pientka☁️ @fpientka

Cloud architect 🏆#AWS Certified Solutions Architect,database & security specialist Be more ☁️native than naïve! fail early, fail often, but always fail forward linkedin.com/in/fpientka Schwerte Joined April 2009
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Frank Pientka☁️ retweeted
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Ayaan 🐧 @twtayaan

a week ago

Apple just made Docker Desktop optional on Mac. And it is completely free. This is apple/container. 26.5k stars no Github. You can now run Linux containers natively on your Mac without installing Docker Desktop, without a background daemon hogging your RAM, and without paying $21 a month per developer for a commercial license. Here is what it does: → Runs Linux containers as lightweight VMs directly on Apple Silicon using macOS 26 virtualization → Fully OCI compatible. Pull any image from Docker Hub, GitHub Container Registry or anywhere else → Written in Swift and optimised specifically for Apple Silicon. Faster and lighter than anything Docker Desktop does on Mac → Standard container CLI syntax. If you know Docker commands you already know how to use this → Push images you build to any standard container registry and run them anywhere Docker Desktop charges $21 per developer per month for commercial use. Apple's version costs nothing and ships as open source under Apache-2.0. Microsoft made Docker Desktop optional on Windows with WSL Containers last month. Apple just did the same on Mac. Docker is not going anywhere. But the era of paying for a GUI wrapper around containers on your own machine is quietly ending. Repo here: github.com/apple/container

Frank Pientka☁️ retweeted
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Julien Dubois @juliendubois

3 weeks ago

BootUI 1.1.0 is released! My agents have been hard at work during the week-end, and we added nearly 20,000 lines of code 😱 ➡️ You'll have an easy to use dashboard telling you what needs to be improved in your project! ➡️ Full changelog: github.com/jdubois/boot-u…

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Frank Pientka☁️ @fpientka

3 weeks ago

Jünglinge werden müde und matt, und Männer straucheln und fallen; aber die auf den HERRN harren, kriegen neue Kraft, dass sie auffahren mit Flügeln wie Adler, dass sie laufen und nicht matt werden. Jesaja 40,30-31/LU17

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Frank Pientka☁️ @fpientka

a month ago

Mehr Investitionen als bei Northvolt stehen in Aussicht. Das Projekt braucht keine Zuschüsse, aber extrem viel Energie. ndr.de/nachrichten/sc…

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Frank Pientka☁️ @fpientka

2 months ago

KI frisst Software: Top-Investor stößt Microsoft-Aktien ab | heise online heise.de/-11288640

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Frank Pientka☁️ @fpientka

2 months ago

@_onlyscott Quite easy it’s a polish player. The great Robert Lewandowski!

Frank Pientka☁️ retweeted
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Ubuntu @ubuntu

2 months ago

Ubuntu 26.04 LTS #ResoluteRaccoon has landed. Discover the biggest updates in our announcement: canonical.com/blog/canonical…

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Frank Pientka☁️ @fpientka

2 months ago

Mein Artikel als Coverstory in der nächsten ix 05.20025 #EUDI -Wallet: Das ist der aktuelle Stand der digitalen europäischen Brieftasche heise.de/-11252204

Frank Pientka☁️ retweeted
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Avi Chawla @_avichawla

2 months ago

RAG vs. CAG, clearly explained! RAG is great, but it has a major problem: Every query hits the vector DB. Even for static information that hasn't changed in months. This is expensive, slow, and unnecessary. Cache-Augmented Generation (CAG) addresses this issue by enabling the model to "remember" static information directly in its key-value (KV) memory. In fact, you can combine RAG and CAG for the best of both worlds. Here's how it works: RAG + CAG splits your knowledge into two layers: ↳ Static data (policies, documentation) gets cached once in the model's KV memory ↳ Dynamic data (recent updates, live documents) gets fetched via retrieval This gives faster inference, lower costs, and less redundancy. The trick is being selective about what you cache. Only cache static, high-value knowledge that rarely changes. If you cache everything, you'll hit context limits. Separating "cold" (cacheable) and "hot" (retrievable) data keeps this system reliable. You can start today. OpenAI and Anthropic already support prompt caching in their APIs. I have shared my recent article on prompt caching below if you want to dive deeper. 👉 Over to you: Have you tried CAG in production yet?

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Avi Chawla @_avichawla

3 months ago

x.com/i/article/2044…

Frank Pientka☁️ retweeted
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Akshay 🚀 @akshay_pachaar

2 months ago

A harnessed LLM agent. Most people picture this as a model with tools bolted on. The real architecture inverts that relationship. The model itself is deliberately thin. Intelligence gets pushed outward, and the harness composes it at runtime. Three dimensions orbit the harness core: 𝗠𝗲𝗺𝗼𝗿𝘆 holds state the model shouldn't carry in weights or context. Working context, semantic knowledge, episodic experience, and personalized memory each have their own lifecycle. 𝗦𝗸𝗶𝗹𝗹𝘀 hold procedural knowledge. Operational procedures, decision heuristics, and normative constraints specialize the general model per task. 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹𝘀 hold the interaction contracts. Agent-to-user, agent-to-agent, and agent-to-tools are three distinct surfaces with their own failure modes. Between the core and these modules sit the mediators: sandboxing, observability, compression, evaluation, approval loops, and sub-agent orchestration. They govern how the harness reaches out and how state flows back in. The useful question this framing unlocks: for any new capability, where should it live? Stable knowledge goes to memory, learned playbooks go to skills, communication contracts go to protocols, loop governance goes to the mediators. Harness design becomes a question of what to externalize, and how to mediate it. I'm building a minimal agent harness from scratch. Didactic, easy to read, no magic. Open-sourcing it soon. Stay tuned.

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Akshay 🚀 @akshay_pachaar

3 months ago

x.com/i/article/2040…

Frank Pientka☁️ retweeted
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Elon Musk @elonmusk

3 months ago

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Frank Pientka☁️ @fpientka

4 months ago

Stromausfall in Aachen legt Verwaltungen in NRW lahm | nichts gelernt und keine Redundanz vorhanden heise.de/-11196992

Frank Pientka☁️ retweeted
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Alex Xu @alexxubyte

4 months ago

x.com/i/article/2026…

Frank Pientka☁️ retweeted
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Vaishnavi @_vmlops

4 months ago

Anthropic isn’t just building chatbots They’re building a system that can think, code & execute

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Frank Pientka☁️ @fpientka

5 months ago

@Norma5387953815 1353

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Frank Pientka☁️ @fpientka

5 months ago

„AI eats Software“Warum SaaS-Aktien an der Wall Street crashen | Der Software-Sektor steht am Beginn seiner vielleicht größten Umbruchphase seit der Cloud-Revolution. KI wird Software dabei nicht sofort einfach ersetzen, sie dürfte sie aber neu definieren heise.de/-11150650

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Frank Pientka☁️ @fpientka

5 months ago

@damzychillin Benedikt Höwedes

Frank Pientka☁️ retweeted
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Andrzej Kukla @Mathinity_

6 months ago

That’s how you can represent 2026 with five 2’s. Happy New Year 🎉 Please share your own fun facts about the number 2026 🥳

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Frank Pientka☁️ @fpientka

6 months ago

PostgreSQL RPM repository now supports multiple RHEL minor versions YUM Repository Red Hat’s decision to ship a major OpenSSL update (3.2 → 3.5) together with the RHEL 10.1 and 9.7 releases caused unexpected breakage for users of Rocky Linux, AlmaLinux yum.postgresql.org/news/postgresq…

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Frank Pientka☁️ @fpientka

6 months ago

Indian IT Was Supposed To Die From AI. Instead It's Billing for the Cleanup it.slashdot.org/story/25/12/26…

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