The AI ecosystem can be really confusing: Agents, MCPs, skills, plugins, everything is an overloaded term and a fuzzy concept. This is an explanation of how these constructs work in plain terms, usefu...

Our entire event-driven platform ran through a single message broker, which made it a single point of failure. So we added a second one. This is the story of building an event load balancer, the queue...

A forward look at where engineering teams are heading with AI, based on conversations with design partners who are visibly six-to-twelve months ahead of the average. Tailored code agents, MCP gateways...

First-draft AI skills are usually broken in ways the author can't see. A walk through how I built our daily AI spend report skill, with iteration discipline borrowed from Atul Gawande's Checklist Mani...

A look at how on-call schedules work, and how we made rendering them 2,500× faster — through profiling, smarter algorithms, and some Claude.

A complete guide to what quantization is, how it works, and how it's used to compress large language models

The year AI SRE arrived. 1,152 PRs, a team that grew from 3 to 18, and the hardest I've ever worked. From betting on tooling in January to shipping a product that makes customers say

Behind the scenes: Building an AI incident responder

When the time taken to execute a prompt becomes an issue, these strategies can optimize response latency without impacting prompt behaviour.

incident.io is an all-in-one incident management platform unifying on-call scheduling, real-time incident response, and integrated status pages – helping teams resolve issues faster and reduce downtim...

The gap between demo-ready AI products and production-grade systems is much larger than most realise. This post explains the four stages of AI product maturity, what tooling you actually need to build...

Tech billionaire wades into controversy after shooting right arm on upwards diagonal during celebrations of Trump