3 lessons for building reliable ServiceNow AI integrations | Red Hat Developer Learn about critical lessons from building an MCP-powered AI agent for ServiceNow, including how to structure testing environments, best practices for implementing safeguards, and a phased approach to

The latest post on what we learned while building the IT self service agent AI quickstart covering integration through MCP to ServiceNow - developers.redhat.com/articles/202... @rhdevelopers.bsky.social

I always wanted to get to Italy for a Node.js conference. Sad that I'm not going to make it. I'm sure it will be great!

Distributed tracing for agentic workflows with OpenTelemetry | Red Hat Developer Learn how to set up distributed tracing for an agentic workflow based on lessons learned while developing the it-self-service-agent AI quickstart. This post covers configuring OpenTelemetry to track

Next installment in the series on what we learned while building the it-self-service-agent. It's on observability which is a key component of most deployments - developers.redhat.com/articles/202... @rhdevelopers.bsky.social

Node.js — Security Bug Bounty Program Paused Due to Loss of Funding Node.js® is a free, open-source, cross-platform JavaScript runtime environment that lets developers create servers, web apps, command line tools and scripts.

The #Nodejs project's security bug bounty program is being paused due to the discontinuation of its external funding source 😞

nodejs.org/en/blog/anno...

Thanks! We still have 3 more planned and we'll plan to post about future projects as well.

Eval-driven development: Build and evaluate reliable AI agents | Red Hat Developer Learn how to build reliable AI agents with our 8-stage evaluation framework. We explore DeepEval, multi-turn testing, and CI/CD integration for Red Hat AI

Latest post in our series on what we learned building the it-self-service-agent AI quickstart - Eval-driven development: Build and evaluate reliable AI agents developers.redhat.com/articles/202.... Evals were key to being able to make progress without regressions. @rhdevelopers.bsky.social

Automate AI agents with the Responses API in Llama Stack | Red Hat Developer Learn how the Responses API in Llama Stack automates complex tool calling while maintaining granular control over conversation flow for AI agents. Discover the benefits and implementation details

4th post in the series on what we learned while developing the it-self-service-agent AI quickstart developers.redhat.com/articles/202... @rhdevelopers.bsky.social

Slides from my talk at @confooca.bsky.social last week on an introduction to Llama Stack in case you want to catch up - github.com/mhdawson/pre... with examples in @nodejs and Python

Slides from my talk today at @confooca.bsky.social today on the Crucial role of AI Evaluations for agentic systems - github.com/mhdawson/pre...

As I get ready for @confooca.bsky.social this week I had some fun with my 3d printer over the weekend. Hope to see you at my talks - confoo.ca/en/speaker/m...

Prompt engineering: Big vs. small prompts for AI agents | Red Hat Developer Explore big versus small prompting in AI agents. Learn how Red Hat's AI quickstart balances model capability, token costs, and task focus using LangGraph

Part three in our series on what we learned building the it-self-service-agent AI quickstart was just published - Prompt engineering: Big vs. small prompts for AI agents - developers.redhat.com/articles/202.... Hope you find it interesting.

@confooca.bsky.social

If you've found the posts on the it-self-service-agent implementation (docs.redhat.com/en/learn/ai-...) interesting, I'll be talking at @confooca in a few weeks using some of what we learned as examples. Hope to see you there.

AI meets you where you are: Slack, email & ServiceNow | Red Hat Developer Build a multichannel IT self-service AI agent that maintains session context across Slack, email, and ServiceNow using CloudEvents and Knative for cross-channel automation

Second part in our series on what we learned while developing the it-self-service-agent quickstart. Bringing AI into existing communication channels. @tchughesiv.developers.redhat.com/articles/2026/02/09/self... by

Congratulations!

Last week I mentioned the Red Hat quickstarts: docs.redhat.com/en/learn/ai-.... This week is the kickoff of a series covering interesting things we learned developing the it-self-service-agent quickstart. Every two weeks we'll add a post covering a new topic - docs.redhat.com/en/learn/ai-...

And keep an eye out for our 8 part follow up blog post series which will go into some of the interesting things we learned along the way. The first part of the series will be published next week.

The team I'm on has been working on an AI quickstart for the last little while. Happy that it's just been published along with other quickstarts in docs.redhat.com/en/learn/ai-.... You can read more about the one we worked on in www.redhat.com/en/blog/manu....

Just finished the first versions of my presentations for @confooca.bsky.social in February - confoo.ca/en/speaker/m... . Looking forward to all of the talks, networking and learning opportunities.

Ah, central control of what's sold, but sold through independent retailers

Sounds like the the LCBO in ontario :)

It's great to see and a you did a great job getting it there!

I'm not attending the meetings anymore, but if you join the meeting I'm sure the team will be happy to discuss.

I submitted to be a @confooca.bsky.social speaker. Vote for my proposals! confoo.ca/en/2026/call... #javascript #ai #qa

How to implement observability with Python and Llama Stack | Red Hat Developer Enhance your Python AI applications with distributed tracing. Discover how to use Jaeger and OpenTelemetry for insights into Llama Stack interactions

The next article in my series on using llama stack with Python - developers.redhat.com/articles/202..., @rhdevelopers

And I might have learned it from @rwklau.bsky.social :)

Implement AI safeguards with Python and Llama Stack | Red Hat Developer Learn how to implement Llama Stack's built-in guardrails with Python, helping to improve the safety and performance of your LLM applications

Latest installment of my series on using Llama stack with Python - developers.redhat.com/articles/202...

Sad that I won't be able to be there, but great that @ruyadorno.com is going to be talking about What's new and What's next for Node.js

Retrieval-augmented generation with Llama Stack and Python | Red Hat Developer This tutorial shows you how to use the Llama Stack API to implement retrieval-augmented generation for an AI application built with Python

Part 2 in my exploration of using Llama Stack with Python - developers.redhat.com/articles/202...

Exploring Llama Stack with Python: Tool calling and agents | Red Hat Developer Harness Llama Stack with Python for LLM development. Explore tool calling, agents, and Model Context Protocol (MCP) for versatile integrations

If you are interested in Llama Stack and using it from your python applications you might want to check out my exploration of tool calling and agents with LLama Stack in developers.redhat.com/articles/202...