AI &amp; LLMs

June 15, 2026

Colin Burke

Observability: Are You Measuring What Actually Matters?

Old observability metrics like uptime and MTTR aren't enough anymore. Teams must connect technical signals to business outcomes, especially as AI raises the stakes.

June 8, 2026

It Can Only Goodhart Happen

Is the era of tokenmaxxing over before it even began? The rise of token leaderboards to the death of token leaderboards at companies like Amazon seem to have taken place in less than three months!

Honeycomb Canvas: The Multiplayer Workspace for the Agentic Era

May 20, 2026

Kale Bogdanovs

Honeycomb Canvas: The Multiplayer Workspace for the Agentic Era

Auto-investigations that start the moment a trigger fires. Custom skills that encode your team's runbooks. A live workspace where humans and agents investigate production together. Now available to all Honeycomb customers.

May 19, 2026

Agent Timeline: The Flight Recorder for Your AI Agents

Every LLM call, every tool invocation, every agent handoff, every downstream service span, in one conversation, in one view. Now in Early Access.

May 13, 2026

Innovation Week Day 2: Observability for AI, and Observability With AI

AI is reshaping the SDLC in two directions at once. AI-generated code is shipping faster and with less human supervision than ever before, while agents and LLMs are running directly in production, where they behave very differently from traditional software: non-deterministic, with a wider blast radius than any single function or component, with no stack trace to catch when something goes wrong.

Innovation Week

May 12, 2026

Shabih Syed

Innovation Week Day 1: The SDLC Is Collapsing, and Observability Has Never Mattered More

Day 1 of Innovation Week was about how software gets validated, where observability fits, and the problems that have always been hard but are now genuinely urgent with AI part of the software development lifecycle.

Innovation Week

Making Semantic Conventions Work for You With OpenTelemetry Weaver

May 11, 2026

Mike Goldsmith

Making Semantic Conventions Work for You With OpenTelemetry Weaver

In this post, I'll show how OpenTelemetry Weaver lets you define, layer, and validate semantic convention schemas so that both humans and agents have full context on every attribute in your telemetry.

April 29, 2026

New in the Honeycomb Academy: Learn to Use the Honeycomb MCP

The new Honeycomb MCP course in the Honeycomb Academy gives you a starting point when you're not sure what to ask, and teaches you how to direct an investigation so you're getting evidence, not just answers.

April 27, 2026

Austin Parker

Approaching the Parhelion

A parhelion is created when light refracts through hexagonal ice crystals in the atmosphere, forming bright spots that appear on the horizon, connected by a faint halo. You don’t have to squint very hard to appreciate how relevant this is to our current AI moment.

Fast AI Feedback Loops with Honeycomb and OpenTelemetry

April 20, 2026

Fast AI Feedback Loops with Honeycomb and OpenTelemetry

Observability is the visibility you need to get the job done. Sending telemetry to Honeycomb explains what your agents are actually doing. OpenTelemetry provides semantic conventions for generative AI systems, a spec that defines how agents, LLMs, MCPs, and tools are properly observed. The primary telemetry is defined as trace spans and other events with specific naming patterns, mostly starting with gen_ai.

OpenTelemetry

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

April 14, 2026

Rox Williams

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.

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.

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.

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.

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

April 6, 2026

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

April 6, 2026

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.

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

April 6, 2026

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.

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

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!