Case Study How Monday.com Built a Repeatable Playbook for Complex Performance Issues at scale At scale, understanding performance in a distributed system means seeing beyond metrics and into real production execution.
From 63 Commits to One: How Hud’s Forensics Identified the Exact Root Cause in Minutes When a large deployment caused production failures in an unchanged service, runtime forensics made a full rollback unnecessary.
The Missing Context: Why AI Coding Agents Need Production Intelligence TL;DR: Coding agents are incredible – majestic and powerful – but in complex enterprise-scale production they can still wreak havoc.
Case Study How Guardz Turned Silent Job Bottlenecks into Same-Day Fixes At scale, background jobs can behave very differently in production than they do anywhere else – making root cause understanding the real challenge.
AI in the Trenches: What We’re Really Learning About Coding with Machines May Walter reflects on the real lessons from InfoQ’s “AI in the Trenches” panel – where the future of software development is already unfolding.
How Augment and Hud Helped Me Find Performance Opportunities in Production in 5 Minutes Performance optimization in production can feel like searching for a needle in a haystack.
Production-Driven Code Navigation Every engineer knows how code is written, but almost none truly see how it flows in production – Hud’s Snaky Chart changes that.a
Bringing Production Reality to Your IDE For decades IDEs have shown us what code looks like; Hudders finally show us what code does.
Plugging Live Production Context into AI Code Generation Workflows LLMs can write code at scale, but until now they’ve been coding in the dark – cut off from the one thing that matters most:…