AI for Software Engineering is Just Another “Paradigm Shift”
How many of you started with technologies you still use exactly the same way today? Even if you’re a master Lisp/Clojure developer, you’ve still evolved,...
Building AI-Ready Infrastructure for the Enterprise
Last week marked the inaugural HumanX conference, a convening of leaders, technologists, policy makers, and media, all brought together to discuss the state of AI...
LLMs Are Weird Computers
The common definition of a computer is a programmable machine that stores, retrieves, and processes data. I would argue that ChatGPT already fits this definition,...
Generating Calculated Fields From Natural Language
f you've been using Honeycomb for a bit, you know that Calculated Fields (otherwise known as derived columns) are a powerful way to transform your...
Does AI Help Write Better Software, or Just… More Code?
As software teams race to integrate AI into their development workflows, we need to ask ourselves: are AI-powered tools actually making software better?...
How I Code With LLMs These Days
I first started using AI coding assistants in early 2021, with an invite code from a friend who worked on the original GitHub Copilot team....
AI: Where in the Loop Should Humans Go?
AI is everywhere, and its impressive claims are leading to rapid adoption. At this stage, I’d qualify it as charismatic technology—something that under-delivers on what...
AIOps: Prove It!
I’ve read a steadily increasing stream of articles about using AI in SRE, and I have yet to find one that inspires my trust. Each...
Using GitHub Copilot to Speed Up Your Development Workflow
As a software engineer, I’m always evaluating tools and technologies that can optimize my workflow. Developer productivity isn’t just about writing more code—it’s about reducing...
AI Strategies for Software Engineering Career Growth
All the conditions necessary to alter the career paths of brand new software engineers coalesced—extreme layoffs and hiring freezes in tech danced with the irreversible...
Observability in the Age of AI
Honeycomb engineers were amongst the earliest adopters of this technology. Not in the widely parodied top-down, VP-mandated, “go be AI leaders nao plz” kind of...
The Hater’s Guide to Dealing with Generative AI
Generative AI is having a bit of a moment—well, maybe more than just a bit. It’s an exciting time to be alive for a lot...
Honeycomb + Google Gemini
Today at Google Next, Charity Majors demonstrated how to use Honeycomb to find unexpected problems in our generative AI integration. Software components that integrate with...
Three Properties of Data to Make LLMs Awesome
Back in May 2023, I helped launch my first bona fide feature that uses LLMs in production. It was difficult in lots of different ways,...
Using Honeycomb for LLM Application Development
Ever since we launched Query Assistant last June, we’ve learned a lot about working with—and improving—Large Language Models (LLMs) in production with Honeycomb. Today, we’re...