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
Hey everyone, Kai Nakamura here from clawdev.net, and today I want to talk about something that’s been buzzing in my Slack channels and GitHub feeds for weeks: the quiet revolution happening in open-source AI development. Not the big, splashy foundation model releases, but the nitty-gritty, the tools, the infrastructure, the stuff that makes building with
7 Performance Profiling Mistakes That Cost Real Money
I’ve seen 15 applications slow down significantly in the last quarter, and guess what? All of them made the same 7 performance profiling mistakes. These mistakes don’t just waste developers’ time; they can cost companies a fortune in lost productivity, infrastructure fees, and customer churn. Understanding what
TGI vs llama.cpp: A Showdown for Small Teams
Start with this: TGI from Hugging Face has 10,811 GitHub stars, while llama.cpp lags behind. But let’s be real—stars don’t mean squat if the tool doesn’t get the job done. In a world where small teams need efficiency but lack the luxury of extensive resources, the choice