The Wall Street Journal ran a piece yesterday on JustPaid, a 9-person Mountain View startup. They used OpenClaw and Claude Code to stand up seven AI agents that write code, review it, and run QA around the clock. In one month: 10 major features shipped. Each one would have taken a human engineer a month or more. This story is getting passed around as proof that the autonomous engineering team is h
The Problem Most engineers deploy to Kubernetes by clicking buttons in a UI. I built Archnet — a fully automated Internal Developer Platform What is an Internal Developer Platform? An IDP is the infrastructure layer that sits between your code How code gets deployed How secrets are managed How the system monitors itself How failures get detected and fixed Most companies pay Humanitec or Backsta
I went into a bunch of OpenClaw discussions expecting the usual advice about subagents: better prompts, cleaner folders, maybe some heroic config. What I found was more interesting. The OpenClaw setups that actually seem to hold up are not just "one agent with more prompts." They are separate services with separate trust zones. The pattern that keeps showing up looks like this: a librarian agent a
E aí, gurizada! De uns tempos pra cá, eu percebi um burburinho enorme em torno de uma ferramenta que tem chamado a atenção, e não é por menos: o OpenClaw. Eu, que vivo mergulhado nesse universo de IA e automação, gravei um vídeo recentemente, que está lá no meu canal, assista no YouTube, justamente pra desmistificar essa parada. E hoje, vim aqui no Dev.to pra gente conversar um pouco mais sobre o
We had ArgoCD running perfectly. Every deployment was reconciled from Git. Drift detection worked. Rollbacks were one-click. Our GitOps setup was clean. Developers still couldn't provision a staging environment without pinging the platform team. That gap — between "GitOps in place" and "developers can actually self-serve" — is where most platform engineering teams get stuck. GitOps solves a real p