AI & LLMs

August 5, 2026

Introducing AI BubbleUp

Every BubbleUp query now surfaces significant correlations based on relevance, not just statistical analysis. Available today to all Honeycomb customers who have enabled Honeycomb Intelligence.

AI & LLMs

Product Updates

AMA: More Answers From the Observability Engineering Authors

August 4, 2026

Rox Williams

AMA Recap: More Answers From the Observability Engineering Authors

We couldn't get through every question during our live AMA with the authors of Observability Engineering, so Charity, Liz, George, and Austin stuck around to answer more on AI, telemetry, and what still needs a human in the loop.

AI & LLMs

Observability

August 3, 2026

Douglas Soo

Spend More Time Talking to Humans

LLMs have reshaped the day-to-day work of software engineering, leaving senior engineers exhausted by context-switching and junior engineers unsure how to grow. The fix isn’t a better prompt — it’s spending more time talking to humans: reducing context churn, pairing across seniority levels, and communicating more across teams.

AI & LLMs

Teams & Collaboration

Honeycomb Named a Visionary in the 2026 Gartner® Magic Quadrant™ for Observability Platforms

July 29, 2026

Shabih Syed

Honeycomb Named a Visionary in the 2026 Gartner® Magic Quadrant™ for Observability Platforms

For the third consecutive year, Honeycomb has been named a Visionary in the Gartner® Magic Quadrant™ for Observability Platforms. The recognition reflects Honeycomb's vision for fast, flexible, high-cardinality querying, agent-era observability with Agent Timeline and Canvas, and predictable event-based pricing at trillions of events.

July 22, 2026

Embracing the Code Review Bottleneck

Faced with an endless stream of AI-generated code reviews, our team made the counterintuitive choice to lean into the bottleneck rather than reduce it. Surprisingly, velocity held up, knowledge sharing improved, and we developed a collective system ownership that stuck.

Software Engineering

AI & LLMs

July 20, 2026

Austin Parker

What Comes After Observability?

A year ago, I predicted ways in which AI was about to fundamentally change observability as we knew it. Here's what we've seen happen since—both at Honeycomb and with our customers—and what we're building for the future.

Observability

AI & LLMs

30 to 70 PRs a Day: How We Managed to Not Wreck Our Systems

July 16, 2026

Liz Fong-Jones

30 to 70 PRs a Day: How We Managed to Not Wreck Our Systems

The Honeycomb engineering team set out to double our productivity in a year. This is how we did it, what we did to keep things stable, what it cost us, and what we’re still figuring out.

AI & LLMs

Software Engineering

AI Amplifies Your Existing Practices: Lessons from Our Shift to an AI-First Strategy

July 16, 2026

Liz Fong-Jones

AI Amplifies Your Existing Practices: Lessons from Our Shift to an AI-First Strategy

As the Honeycomb engineering team worked to double our productivity, we learned a lot. The most important takeaway? Nothing anyone tells you about AI will land if your starting substrate is unhealthy.

AI & LLMs

Software Engineering

Shipping Is Your Company's Heartbeat: A Letter from a CTO

July 14, 2026

Charity Majors

Shipping Is Your Company's Heartbeat: A Letter from a CTO

In an open letter to engineering leaders everywhere, Fin CTO Darragh Curran explains that AI isn't a magic wand but rather an amplifier—of the good and the bad—of your engineering practices. And engineering rigor is more important than ever.

July 13, 2026

Lattice Watch: Smarter Guardrails for Design System Observability

In the past, I was part of a group of engineers responsible for doing random code reviews with an eye for design system adherence. The design system team had been tracking who used their system the most and invited those engineers to help them review PRs, with the hope that education would be the key to getting more product engineers to use the system. I wanted to create something like that here at Honeycomb for our design system, Lattice.

July 10, 2026

15 Best AI Observability Tools for Production Teams in 2026

Compare the best AI observability tools for tracing, evals, token cost tracking, agent workflows, and production reliability in 2026.

AI & LLMs

Observability

July 10, 2026

Kale Bogdanovs

Observability vs. Monitoring for AI Systems

Monitoring catches the failures you predicted. AI systems fail in ways you didn't. This post breaks down why AI workloads demand observability—request-level context, distributed tracing, and learning from production—rather than another wall of dashboards.

Observability

AI & LLMs

Multi-Agent Collaboration on a Shared Canvas

July 8, 2026

Moses Mendoza

Multi-Agent Collaboration on a Shared Canvas

This is part 2 of a series on taking agentic applications from prototype to production with AWS AgentCore. Part 1 covers foundational design questions, like cardinality, session lifecycle, state management, and operational constraints. This post goes deeper on one of those topics: how we use the difference between an LLM session and an AgentCore Runtime session to build collaborative multi-agent investigations.

AI & LLMs

Dogfooding

From Prototype to Production With AWS AgentCore

July 6, 2026

Moses Mendoza

From Prototype to Production With AWS AgentCore

Canvas runs on AWS Bedrock AgentCore. We picked AgentCore because it supports the ramp described in this post: it’s quick to get running, it’s modular, and it has production-grade underpinnings. But, like any platform, it has some traps to be aware of. In this post, we share some of the most important things we learned while building on AWS AgentCore.

AI & LLMs

What Customers Are Doing With AI and Honeycomb

June 30, 2026

Rox Williams

What Customers Are Doing With AI and Honeycomb

At O11yCon, we talked to engineering teams across the industry, and the numbers are starting to get genuinely wild: Mixpanel DevOps Engineer Eddie Bracho told us their engineering team is generating 50% more PRs than before AI came into the mix (sorry).

O11yCon

Conferences & Meetups

AI & LLMs

How to instrument AI agents for Honeycomb's Agent Timeline

June 29, 2026

Dan Juengst

Instrumenting AI Agents for the Agent Timeline: A Practical OpenTelemetry Guide

The LLM is rarely the root cause of agent failures. This technical guide shows how to instrument AI agents using OpenTelemetry's GenAI semantic conventions so they appear in Honeycomb's Agent Timeline—including tool calls, multi-agent handoffs, and framework-specific SDKs—so you can debug what actually went wrong.

June 18, 2026

Agent Timeline Is Now Generally Available

Honeycomb’s Agent Timeline gives you a unified view of LLM behavior and multi-agent workflows, so you can investigate entire conversations and quickly see where prompts, tool calls, and failures happened, in the order they happened.

Product Updates

AI & 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 and the death of token leaderboards at companies like Amazon seem to have taken place in less than three months!

AI & LLMs

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.

Innovation Week

Product Updates

AI & LLMs