AI & LLMs

ICYMI: Is This Code Worth Running? Here’s How to Know

April 14, 2026

ICYMI: Is This Code Worth Running? Here’s How to Know

Over the last three months, we’ve been exploring what about software development and observability changes with AI, and what doesn’t. Our conclusion: these five principles will still remain true, even when 90% of the code is AI-driven.

AI & LLMs

Optimizing the OpenTelemetry Python SDK for LLM Workloads

April 13, 2026

Alex Boten

Optimizing the OpenTelemetry Python SDK for LLM Workloads

The performance impact of instrumentation on running applications should be minimized wherever possible, and this is what led to the investigation described in this article.

AI & LLMs

OpenTelemetry

Your Questions About AI Agents and Production Feedback Answered

April 10, 2026

Austin Parker

Your Questions About AI Agents and Production Feedback Answered

We got a ton of great questions from attendees, and I didn't have time to answer all of them during the session. So, here are my answers to the ones I found most interesting, and most representative of what people are actually grappling with right now.

AI & LLMs

Observability

Uncertainty and Change Are Everywhere in Software Development

April 9, 2026

Douglas Soo

Uncertainty and Change Are Everywhere in Software Development

The following is what I’ve come to as a set of theory and practice for adapting to what is, and continues to be, one of the most rapid changes to how work is done in arguably any career. It’s worth noting that none of this is predicated on whether you are an AI believer or a skeptic. Even if you believe that 90% of what people are claiming about AI is just hype, the remaining 10% still has the ability to radically change what it means to be a software developer.

AI & LLMs

The Fundamentals: Fast, Deep, and Ready for What Comes Next - Part 3

April 6, 2026

Ken Rimple

The Fundamentals: Fast, Deep, and Ready for What Comes Next - Part 3

The previous posts in this series looked at some of the use cases Honeycomb customers are implementing to observe LLMs in production and power agentic observability workflows. In this final post, we’ll take it back to basics and look at how the fundamental capabilities and infrastructure of Honeycomb provide the comprehensive data and fast performance that makes these use cases work at scale.

AI & LLMs

Observability

AI Working for You: MCP, Canvas, and Agentic Workflows - Part 2

April 6, 2026

Ken Rimple

AI Working for You: MCP, Canvas, and Agentic Workflows - Part 2

In our previous post, we looked at how Honeycomb provides unique visibility into LLMs operating in your production environment. Now, let’s explore how Honeycomb provides observability insights uniquely suited to helping your AI agents rapidly diagnose and fix production issues.

AI & LLMs

Observability

Honeycomb Is Built for the Agent Era. Here's the Proof.

April 6, 2026

Ken Rimple

Honeycomb Is Built for the Agent Era. Here's the Proof - Part 1

AI agents are rewriting how software is built and operated. In this series, you’ll learn about 12 use cases across LLM observability, agent debugging, MCP-powered coding agents, and automated AI investigations that prove Honeycomb is the observability platform built for what comes next.

AI & LLMs

Observability

April 2, 2026

Abdullah Chowdhury

KubeCon + CloudNativeCon EU 2026: What We Learned About AI, Observability, and Fast Feedback Loops

Honeycomb's KubeCon + CloudNativeCon Europe recap: why observability and fast feedback loops are essential as AI reshapes how software is built and run.

Conferences & Meetups

AI & LLMs

Accelerate Your OpenTelemetry Migrations With Honeycomb's Agent Skills

March 31, 2026

Austin Parker

Accelerate Your OpenTelemetry Migrations With Honeycomb's Agent Skills

With the release of our Agent Skills, we’ve used our domain knowledge to make your agents even more powerful. Instead of having to copy and paste blocks of markdown into Claude Code, we've distilled everything we know about using Honeycomb into a set of core skills, packaged it up, and are making it open source today!

AI & LLMs

Product Updates

March 18, 2026

Charity Majors

Production Is Where the Rigor Goes

In early February, Martin Fowler and the good folks at Thoughtworks sponsored a small, invite-only unconference in Deer Valley, Utah—birthplace of the Agile Manifesto—to talk about how software engineering is changing in the AI-native era. The longer I sit with this recap, the more troubled I am by what it doesn't say. I worry that the most respected minds in software are unintentionally replicating a serious blind spot that has haunted software engineering for decades: relegating production to the realm of bugs and incidents.

AI & LLMs

Software Engineering

Evaluating Observability Tools for the AI Era

March 12, 2026

Kale Bogdanovs

Evaluating Observability Tools for the AI Era

This guide gives you a more rigorous framework for evaluating observability tools in an era where your AI assistant depends on them as much as your engineers do. The criteria that matter most are not the ones that show up first in a sales cycle.

AI & LLMs

Observability

Honeycomb Metrics Is Now Generally Available

March 11, 2026

Toni Chou

Honeycomb Metrics Is Now Generally Available

The tradeoff between data completeness and cost has been a feature of metrics platforms for as long as they’ve been around. And as AI becomes central to how engineering teams build and operate software, it is about to become a much more expensive problem.

March 11, 2026

Observability Where You Work: Introducing the Honeycomb Slackbot in Beta

The Honeycomb Slackbot is available now in beta for Enterprise customers. Reach out to your customer success team to learn more and get set up!

AI & LLMs

Product Updates

Create a Custom Service Health Board With the Honeycomb MCP

March 9, 2026

Jessica Kerr (Jessitron)

Create a Custom Service Health Board With the Honeycomb MCP

The best dashboard is one created just for your application, or your service, or your team. You can get that in minutes with the Honeycomb MCP.

AI & LLMs

Observability

Your Questions About AI-Assisted Development Answered

March 5, 2026

Austin Parker

Your Questions About AI-Assisted Development Answered

We recently hosted a webinar on AI-assisted development with DORA, and the audience had a lot of questions—far more than we could get to in an hour. I picked out six that get at the stuff people are wrestling with day to day.

AI & LLMs

The Next Era of Observability: Founders’ Reflections Additional Q&A

February 19, 2026

Rox Williams

The Next Era of Observability: Founders’ Reflections - Additional Q&A

Charity took the time to answer a few additional audience questions we didn’t get to. Dive in below!

Observability

AI & LLMs

February 17, 2026

Tyler Helmuth

Teaching AI How to Refinery

We released a new tool for our MCP server which helps your AIs understand Refinery, and how Honeycomb handles sampling. In this blog, I’ll walk you through the new feature and show how it can help you run Refinery.

Sampling

AI & LLMs

Happy Birthday to Us: Honeycomb 10 Year Manifesto, Part 1

February 11, 2026

Charity Majors

Honeycomb 10 Year Manifesto: Observability in a World of AI-Generated Code

When we left Facebook, we were determined to build a tool that would help solve the hardest problems in software. Not by copying everyone else’s architectural hand-me-downs and making incremental improvements, but by borrowing from powerful BI and product tools, and reasoning from first principles about what software engineers need to understand their code in production.

Observability

AI & LLMs

How Honeycomb Supercharges OpenTelemetry for AI

February 6, 2026

Fahim Zaman

How Honeycomb Supercharges OpenTelemetry for AI

The nature of software development has changed as AI-code generation and agent-based features gain adoption. In perhaps a more subtle shift, the fundamentals of software instrumentation are changing too.

OpenTelemetry

AI & LLMs

AI in Production Is Growing Faster Than We Can Trust it

January 23, 2026

Fahim Zaman

AI in Production Is Growing Faster Than We Can Trust it

AI reliability and trust is naturally becoming a top-of-mind concern. By 2028, Gartner predicts 40% of organizations will have implemented some form of dedicated AI observability.

AI & LLMs