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AI & LLMs

Production Is Where the Rigor Goes
March 18, 2026
Charity Majors

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

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

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.

Metrics
AI & LLMs
Product Updates
Observability Where You Work: Introducing the Honeycomb Slackbot in Beta
March 11, 2026
Mei Luo

Mei Luo

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)

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

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

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
Teaching AI How to Refinery
February 17, 2026
Tyler Helmuth

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

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

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

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
Measuring Claude Code ROI and Adoption in Honeycomb
January 22, 2026
Mae Capozzi

Mae Capozzi

Measuring Claude Code ROI and Adoption in Honeycomb

Claude Code supports OpenTelemetry out of the box, which means sending telemetry to Honeycomb takes just a few minutes of configuration. In this post, I’ll walk you through exactly how I set this up for one of our monorepos and the insights we gained.

AI & LLMs
Honeycomb MCP and Canvas
January 19, 2026
Jessica Kerr (Jessitron)

Jessica Kerr (Jessitron)

Observability with AI? Honeycomb with AI!

Honeycomb exists to help people understand custom software. It doesn’t pretend to know what matters in your application. That’s an interpretive task, not programmatic.

AI & LLMs
“You Had One Job”: Why Twenty Years of DevOps Has Failed to Do it
January 15, 2026
Charity Majors

Charity Majors

“You Had One Job”: Why Twenty Years of DevOps Has Failed to Do it

I think the entire DevOps movement was a mighty, twenty year battle to achieve one thing: a single feedback loop connecting devs with prod. On those grounds, it failed.

Software Engineering
AI & LLMs
Teams & Collaboration
AI-Powered Observability: From Reactive to Predictive
December 11, 2025
Rox Williams

Rox Williams

AI-Powered Observability: From Reactive to Predictive

If there’s one thing clear from our AI-powered observability webinar, it’s that observability has officially graduated from a “nice-to-have” to a business-critical discipline, and AI is helping lead that charge.

AI & LLMs
AI Isn't Here to Replace Your Dashboard… Yet
December 2, 2025
Martin Thwaites

Martin Thwaites

AI Isn't Here to Replace Your Dashboard… Yet

Non-deterministic UIs are the future, but they’re not here yet. So until then, we’re stuck with conversational interfaces.

AI & LLMs
What’s Special About MCP?
November 24, 2025
Jessica Kerr (Jessitron)

Jessica Kerr (Jessitron)

What’s Special About MCP?

When MCPs don’t hog context, they still won’t often beat using the innate knowledge of the model. But when you are ready to curate the access that agents have to your SaaS or data, MCPs are fantastic.

AI & LLMs
Canvas Is Now GA: AI-Guided Observability for Modern Teams
November 19, 2025
Morgante Pell

Morgante Pell

Canvas Is Now GA: AI-Guided Observability for Modern Teams

We’re thrilled to announce that Canvas is now Generally Available (GA) for all Honeycomb users.

AI & LLMs
Product Updates
Fast and Close to Right: How Accurate Should AI Agents Be?
November 13, 2025
Austin Parker

Austin Parker

Fast and Close to Right: How Accurate Should AI Agents Be?

In this blog, I’d like to discuss why hallucinations aren’t the biggest problem in observability agents, the tradeoffs around data fidelity and task accuracy inherent in agent and tool design, and how to evaluate agentic capabilities as they apply to observability.

AI & LLMs
If it Wanted to, it Would: The Bitter Lesson for LLM Users
November 12, 2025
Hannah Henderson

Hannah Henderson

If it Wanted to, it Would: The Bitter Lesson for LLM Users

Systems, like people, have things they "want" to do. Each model has patterns of reasoning and synthesis it performs naturally. Power users learn to align with these representational grooves to get the "best" results and the highest-signal reasoning per token.

AI & LLMs