At scale, understanding performance in a distributed system means seeing beyond metrics and into real production execution.
Read the Article
Why AI Coding Agents Hallucinate and How to Fix It?
Today, AI coding agents can inspect code, edit files, generate tests, and open pull requests. This speeds up software development but still requires humans at key checkpoints to…
Watch: Roee Adler on what AI-written code is missing
I recently sat down with Jane King of LilaMax Media to talk about what happens after AI writes the code. You can watch it below. A short recap…
The New Bottleneck: From Writing Code to Trusting It
A coding agent disappears for six minutes and comes back with an implementation, tests, updated docs, and a pull request. Great. Now somebody has to decide whether any…
Loading more posts…
Trusted by engineers.
Human & artificial alike.
Hud runs on millions of services across massive production environments, with negligible overhead.
“Hud eliminated our voodoo incidents. AI-powered root cause analysis turned days of drilling through tools into minutes.”
“Hud completely changed how early we detect, and how quickly we solve issues long before they impact the business.”
“AI helps us move faster only when it’s grounded in reality. Having accurate runtime context means our engineers, and our AI workflows, can reason about real production behavior and act on it safely.”
“We knew the crashes were caused by an ELU spike, but the question was what caused that spike. Using Hud, we found the answer in minutes with an AI-ready fix.”
“When engineering decisions are grounded in real execution data, it changes how confidently we ship, scale, and invest. That level of certainty directly supports the business as the platform continues to grow.”
