7 posts
Antifragility is not resilience. Resilient things survive disorder; antifragile things gain from it. Here is how I apply Taleb's framework to fifteen years of engineering, the way I build films and books from code, and a ten-day journal cycle run as a stress rhythm.
DevOps is not a job title and never was. It is a thesis about how to build systems that can change without breaking. Fifteen years in, here is what actually compounded, what automation never solved, and what agent mode is now revealing about the practice.
AI hasn't replaced software engineers. It has moved the bottleneck. The cost of writing code dropped to near zero; the cost of deciding what to build, how to architect it, and when to ship became the whole job. A field report from a year of running production work in agent mode.
A 3:40 pop-EDM battle-rap. Plan 9 the Bell Labs bunny puts on his headphones at 03:14 UTC, slips into an AWS Availability Zone, and raps every service he passes (Lambda, S3, KMS, kubectl, EBS, Glacier) over a deadmau5-flavoured rework of Bach's Toccata in D minor. Three voice personas (lead Plan 9, autotuned female ad-libs locked to A4, deadpan whisper) plus a Transformer-droid layer in the gaps that delivers the Werner Vogels easter egg, "everything fails, all the time," and the universal devops punchline, "it's always DNS." Five passes from baseline to ship.
The DevOps Handbook isn't just another tech methodology book. It's the definitive guide to why some engineering teams ship fast without breaking everything, while others are stuck in deployment hell. If you've ever wondered how companies like Netflix and Amazon deploy thousands of times per day without catastrophic failures, this book reveals the playbook.
This commit message tells a story that would have been impossible five years ago. A record of human-AI collaboration that produced something neither could have created alone. Git was built for human-paced development, but AI changes all of these assumptions.
Building enterprise AWS infrastructure in weeks with AI. CDK stacks, production systems, and the cognitive cost of compressed timelines.