Si alguna vez has pasado tres horas depurando un error en OpenClaw, no estás solo. Yo he estado allí, mirando la pantalla con una fecha límite pisándome los talones, preguntándome qué pieza del rompecabezas me perdí. Resulta que el culpable a menudo se esconde en el bucle de mensajes. Este bucle es el héroe silencioso, o el astuto
Hey everyone, Kai Nakamura here from clawdev.net, your friendly neighborhood AI dev blogger. Today, I want to talk about something that’s been a constant undercurrent in my own journey and, frankly, something I think we don’t discuss enough in the AI dev world: the art of contributing to open source, especially when you’re not building
So there I was, knee-deep in pull requests back in early 2023, when we hit a snag — a gnarly one. We had just updated our dependency chart and realized half the workflows were grinding to a halt. Yeah, you’d think continuous integration meant smooth sailing, but nope. It turns
Hey there, AI builders! Kai Nakamura here, back on clawdev.net. Today, I want to talk about something that’s been on my mind a lot lately, especially as the pace of AI development just keeps accelerating. It’s about contributing, but not in the way you might immediately think. We often hear about “contributing to open source”
5 Agent Orchestration Mistakes That Cost Real Money
I’ve seen 3 production agent deployments fail this month. All 3 made the same 5 mistakes. These agent orchestration mistakes can drain your resources and lead to significant financial losses. If you’re serious about maximizing the potential of your agents, you need to avoid these pitfalls.
1.
After 1 Year of Use: The Gemini API in 2026
After one year of use in my production environment, the Gemini API has proven itself to be a mixed bag—useful for small projects but a headache for scaling larger systems. If you’re keen to know what makes this API tick, read on and brace yourself
After 6 months with LangGraph in production: it’s good for rapid prototyping, painful for scaling to enterprise.
I’m no stranger to adapting to new platforms as a developer, but let me tell you, LangGraph has been quite the ride for the last half a year. Launched by the GitHub user langchain-ai, this tool aims
Hey everyone, Kai Nakamura here from clawdev.net, your usual spot for all things AI development. Today, I want to talk about something that’s been on my mind a lot lately, something that many of us interact with daily, but perhaps don’t give enough thought to when it comes to our own contributions: the often-overlooked art
How My Journey in OpenClaw Began
I’ll never forget the first pull request I made to OpenClaw; the nerves felt like a million insects crawling under my skin. I had spent hours perfecting my code, convincing myself I had seen every edge case. Then boom! A single typosaurus reared its ugly head – I’d written
Most guides about building multi-tenant setups in OpenClaw are wrong. Seriously, you might end up pulling your hair out following some of them. When I first tried deploying a multi-tenant environment, I got stuck for hours trying to juggle configurations like a circus clown. Imagine this: you’re knee-deep in YAML files, and suddenly your whole