Cedric Clyburn

What a time I had at @devoxx.uk this week, the energy was fantastic and it’s an honor to have attended and spoke at #DevoxxUK for the first time! Thanks to the Red Hat team with @kevindubois.com @danieloh30.bsky.social @myfear.com and many other rockstars for making this happen! 🚀 Slides below :)

Want to learn more about self-hosting your own models and agents? This Thursday at 10am ET I’m joining @hacktoberfest.com for some live demos and tips on using #vLLM 🎃 Bring your questions, I'll try to get to as many as I can :)

What can LLMs actually do with messy, domain-heavy data? 🤖📊 @cedricclyburn.com & Andrew Igdal explore how LLMs can help query and explain complex residential energy data, where the models break down, and why humans still need to do the science. 🔗 www.dev2next.com/speaker/67ab...

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

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

@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

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...

🔌 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

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

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...

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

🤖 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

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

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...

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

Back to my hometown in Raleigh, NC for @allthingsopen.bsky.social this week 🤩 it’ll be a busy time with my Local LLMs talk tomorrow (Developer Room 1, 3:15pm) but we’ve already started with a #WeLoveOpenSource chat and I’ll be at the #RedHat booth tomorrow doing fun live demos 💻

We had a BLAST this weekend in Boston for #DevConfUS and the #vLLM meetup talking all things open source and AI 🚀 from LLM compression, distributed model serving on Kubernetes, RAG/Agentic apps and so much more, the community is what drives things forward, and I’m so grateful!

OpenAI’s gpt-oss language model is a beast, and matches models like o3 and o4-mini on coding, tool use, and more 🤯 but how can you run it yourself with zero trust security, in containers + automatic GPU acceleration? The #Ramalama project has you covered: developers.redhat.com/articles/202...

Containers & Kubernetes don’t have to be complicated! Check out our recap of @cedricclyburn.bsky.social’s #Devnexus session “Containers and Kubernetes Made Easy: Deep Dive into Podman Desktop” 👉 devnexus.com/posts/contai... 🎟Get Super Early Bird tickets until Sept 1→ devnexus.com

Cedric Clyburn (@cedricclyburn.bsky.social), Senior Developer Advocate for Red Hat, joins us on stage to share their insights. Don't miss "Everything You Need to Know About Running LLMs Locally" at #AllThingsOpen! 2025.allthingsopen.org/sessions/eve...