3 million views on the IBM Technology whiteboard explainers this week 🤯 Still doesn't feel real. Best part is it's free :) for students, engineers, managers, people with no technical background at all, everyone can learn AI and tech in an accessible way. Thanks for watching, and keep learning!

The energy in SF at #AIWorldFair is electric ⚡️ I want to give a big thanks to the team for having me highlight the open source Docling (docling.ai) project & how to turn unstructured data into AI-ready formats like Markdown/JSON (or straight into LangChain and your agents 🤖) 🎥 youtu.be/-x5GEVnkuRw

Structuring the Unstructured - Cedric Clyburn, Red Hat

YouTube video by AI Engineer

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You might’ve noticed I love open source and the impact that these projects have on the community 👀 that’s why this past week @devbcn.bsky.social I had the coolest opportunity to join my COUSIN who’s a PhD candidate and show open models + cloud-native for multi agent systems for research :)

This year @devoxx.uk we asked a simple question: can we use local models as AI code assistants? 🤔 The answer? Yes… and no! But you should check out the recording though and see what worked (like MCP, Skills.MD, and more) as well as what to know about local LLMs for devs :) 🎥 youtu.be/Lhqp7gKXu2w

Local Development in the AI Era by Cedrci Clyburn & Kevin Dubois

YouTube video by Devoxx UK

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@cedricclyburn.com "Shows the 5 Podman Features You Should Know: Kubernetes & Containers Simplified" in this YouTube video: www.youtube.com/watch?v=dEy3.... Can you guess what they are? @opensource #podman

5 Podman Features You Should Know: Kubernetes & Containers Simplified

YouTube video by IBM Technology

youtube.com

AI coding tools are about to get more expensive, and the @anthropic.com news yesterday is a good indicator of what’s to come ($20 to $100 for Claude Code). Understandable, because GPU compute isn’t cheap 👀 Running models in-house with #vLLM is starting to look quite nice!

Had an AWESOME conversation with the @allthingsopen.bsky.social community about local LLMs on small hardware: model compression can quantize a model from 220 GB → 55 GB with <1% accuracy loss, and inference engines like vLLM help run them fast and efficiently. 🎥 www.youtube.com/watch?v=xGqV...

Local LLMs are about to change everything – here's why quantization matters

YouTube video by All Things Open

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🔌 Messy data meets LLMs! Join Andy Igdal and Cedric Clyburn (@cedricclyburn.bsky.social) at DevBcn 2026. Learn how Python and AI can tackle residential electrification data in the Big Data & AI track! 📊🤖 📅 June 16-17 🔗 buff.ly/dz1tICU #devbcn26

Self-hosting LLM’s typically includes a set of requirements for our infrastructure, ex: 🏎️ Hardware accelerators ⚙️ System & model configuration 📚 Specific libraries/dependencies That’s why @cern.voxxeddays.ch I was honored to demo Ramalama.ai, a project that containers to safely run AI models 🤖

LLM Inference workloads are becoming monolithic, heavy, & hard to scale. That's where platform engineers can embrace llm_d, a new open-source effort that’s starting to tackle a problem we’re seeing more and more in prod ML stacks!!! 🎧 to @cedricclyburn.com & Christopher Nuland👇 to learn more

Live from #KubeCon Europe in Amsterdam! 🇳🇱 Big announcement from the Red Hat booth: llm-d, a cloud-native way to run AI at scale with major performance & cost savings. + ran a workshop on RAG at scale using KubeFlow & Docling on Kubernetes. Slides below 👇

If you’ve seen my “silly slide” of all the open-source AI projects at past dev conferences, this week at #KubeCon we’re putting them together! Join me & friends for a hands-on workshop: build a sovereign RAG app on K8s with Kubeflow, Knative, Docling & vLLM. Wed 3/25 @ 11am 🚀 🔗 sched.co/2CW1f

Many folks compare whether “Opus 4.6 is better than ChatGPT 5.4” but there’s quietly been TONS of progress in the open source world of AI too (ex. #DeepSeek, #Llama) 🤖 with no rate limits, ads, and 100% local! 📰 Check out the article on @allthingsopen.bsky.social: allthingsopen.org/articles/run...

Everything you need to know about running LLMs locally | We Love Open Source • All Things Open

Learn how to run open source LLMs locally using Ollama, vLLM, and other tools. Discover model selection strategies, deployment options, and how to save costs while maintaining complete privacy and con...

allthingsopen.org

What does it look like to integrate #MCP into real enterprise workflows? This week at @devnexus.bsky.social we showed how to run, inspect, and scale agentic AI for debugging a Kubernetes clusters, diagnosing Ansible jobs, and much more! Check out the slides below ⬇️ as well as the MCP servers used!

Dev track is deploying heavy artillery. Stop polyfilling frontend and duct-taping backend. Time to build stacks that scale. The engineers: Switch Angel, @tej.as, @abtris.bsky.social, Krasimir Tsonev, @clytaemnestra.bsky.social, @utilitybend.com, @cedricclyburn.com, @ericwbailey.website & more.

With agentic coding tools like #ClaudeCode, #Cursor, and #Codex, how can you get the results you need from an LLM without spending all your time going back and forth about a wrong dependency or missing test cases 😆 well… 🎥 Spec-Driven Development: AI Assisted Coding Explained: youtu.be/mViFYTwWvcM

Spec-Driven Development: AI Assisted Coding Explained

YouTube video by IBM Technology

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🤖 AI Agents are awesome… until they aren’t! What just happened with an 🦞 OpenClaw (ClawdBot/MoltBot) agent in the Matplotlib project on GitHub shows the potential challenges with giving AI Agents (LLM + Tools + Reasoning) the ability to act autonomously. It’s why guardrails and auth are important!

Want to build fast? We’ve got the blueprints. 🔹 @lomagnette.bsky.social: Building Interoperable AI Agents in 30 mins. 🔹 @danieloh30.bsky.social, @cedricclyburn.com & Legare Kerrison: A crash course in Open Source AI. 🔹 @marianne-h.bsky.social: Unveiling the math behind it all.

AI sits to your right, but you're the captain - @vilojona.bsky.social: Practical ways to keep AI codegen under control - @vjovanov.bsky.social: Taming GraalVM with AI - @timtebeek.github.io: Deterministic modernization in the AI age - @kevindubois.com @cedricclyburn.com: Local development strategies

Today kicks off @jfokus.se in Stockholm 🇸🇪 and we just delivered our workshop on building with open source AI models using: ⚡️ #vLLM serve local LLM’s as a local API endpoint 🦜 @langchain4j.dev for adding LLM capabilities in our Java application Was a huge hit! Slides ⬇️

Automatizar tu vida con servidores MCP: integraciones, flujos y cómo conectar herramientas para que trabajen por ti ⚙️ Con @cedricclyburn.com en T3chFest 2026

How I automated my life with MCP Servers - T3chFest 2026

Being a developer these days means you’re not only writing code, but also a Linux admin, a DevOps en...

t3chfest.es

I’m excited to bring #Ramalama, the container-native project to run AI models locally, to @cern.voxxeddays.ch 🙌 We’ll show how fast devs can spin up an open source model using their favorite container engine (shoutout @podmanio.bsky.social) for RAG (Q&A on PDF’s) and Agentic (calling API’s) 🤖

@jfokus.se is BACK for its 20th year and I’m so happy to be hosting a workshop on open source models & how to scale them up on #Kubernetes! We’ll feature projects including #vLLM + @langchain4j.dev + @promptfoo.bsky.social and more for enterprise AI deployment, app dev, and testing 🔥

Really excited to share that our team at Red Hat is HIRING! 🎉 We're looking for excited new graduates with a passion for open source AI, interested in creating content to help developers, and traveling to meetups/conferences! 🔗 AI Developer Advocate: redhat.wd5.myworkdayjobs.com/Jobs/job/Bos...

AI Developer Advocate

About the Job At Red Hat, we believe the future of AI is open source. The Red Hat Artificial Intelligence Business Unit (AI BU) is seeking to hire a Developer Advocate to help grow awareness of Red Ha...

redhat.wd5.myworkdayjobs.com

I found the infamous @cedricclyburn.com 🥳 at AWS re:Invent!

Being a developer today means wearing all the hats 🧢 Dev. Ops. Infra. Admin. At #Devnexus, @cedricclyburn.com shows how he automated his daily dev life using MCP Servers and a local AI agent built with open source tools, and how you can too! 🤖 devnexus.com/events/how-i... 🎟️ Tickets- devnexus.com

We’re BACK to Sweden 🇸🇪 this February! Excited to share that I’ll be joining and speaking at @jfokus.se this Feb 2-4th with the wonderful Stockholm dev community 💻 come by for our Day 1 workshop on building, testing, and deploying Java ☕️ apps using open source AI models and containers/Kubernetes!

Had one of my most fun sessions yet with @allthingsopen.bsky.social on Local LLM’s, showing how developers can setup their own private RAG, Vibe Coding, and Agentic AI apps (thanks to #MCP) without needing 3rd party models! Ft @podmanio.bsky.social + #vLLM 💻 Slides: red.ht/local-llm

⚙️ Deep Dive Monday at #Jfokus — Building with Open Source AI: A Crash Course with @cedricclyburn.com & Legare Kerrisson from Red Hat. Learn how open models, Linux & Kubernetes empower you to forge your own AI path. 🔥 www.jfokus.se #DeveloperConference #AI #OpenSource #RedHat #Kubernetes #LLMs

Thanks to @cedricclyburn.com & Christopher Nuland, I'm pretty much impressed with llm-d.ai: a Kubernetes-native distributed inference stack that brings cache-aware routing and disaggregated serving to LLMs. Watch the full episode to know more: youtu.be/2Wtug1kTwUk