I replaced the OpenClaw agent on my R1 with Hermes, running locally on a MacBook Pro.
I replaced the OpenClaw agent on my R1 with Hermes, running locally on a MacBook Pro.
I got my Rabbit R1 talking to my Pinata-hosted agent. The agent did most of the work.
I got my Rabbit R1 talking to my Pinata-hosted agent. The agent did most of the work.
Platform engineering isn't just for large organizations. CNCF tooling makes it accessible, agents make it practical, and the distributed systems problems it solves don't care how big your team is.
Building fast is the easy part. The hard part — the part nobody's figured out yet — is using agents to operate the business, not just build the product.
Everything built and passed tests in isolation. Then I deployed to Kubernetes and it didn't line up. The agents amplify your specs faithfully — blind spots and all.
I stopped writing code and started writing specs. The cache ratio proves why — implementation sessions read 14,128 cached tokens for every 1 new token of input.
The context window isn't a limitation — it's the forcing function that drives good decomposition. The same principle as Unix philosophy, applied to the act of building.
866 commits. 14 repos. Evenings and weekends. One person with a day job. Here's what happened when I stopped fighting the context window and started designing for it.
What Agents Talk About