Nicolay Gerold

Increasing perversion of certain business models that are liable to be gamed or constrained by AI: We’re shifting from a world where data analysis required long cycles (analysts need lots of time to run queries, analyze, and then present findings in a way that people understand) to a new world of real-time optimization and insights (AI will mine... See more

• ingress-nginx: Ingress controller for Kubernetes. It provisions NGINX services to load balance traffic to my pods. It also manages a Network Load Balancer (NLB) on AWS which controls ingress to the cluster nodes. It handles unhealthy nodes and traffic shaping for me. Rock-solid and has a huge community.


• cert-manager: It automatically issues and

... See more

📖 Introduction

XAgent is an open-source experimental Large Language Model (LLM) driven autonomous agent that can automatically solve various tasks. It is designed to be a general-purpose agent that can be applied to a wide range of tasks. XAgent is still in its early stages, and we are working hard to improve it.

🏆 Our goal is to create a... See more

When folks in these communities have access to very powerful tools, they tend to do remarkable things that create economic opportunities for themselves, their families, and their communities. They solve problems that you or I are not going to solve just because we don’t see the whole problem landscape of the world. We don’t have their point of... See more

code was clean, organized, and logical . Each decision made in their code made sense, and when something didn’t, it was documented well within the code.

A good way to write clean code is to follow principles, like the SOLID principles. Though they were initially designed with OOP (object-oriented programming) in mind, they are extensible to general... See more

Watching intense light between 10 and 4 at Night reduces the capacity to produce dopamine.

HoneyHive is a collaboration platform to test and evaluate, monitor and debug your LLM apps, from prototype to production. It enables you to continuously improve LLM apps in production with human feedback, quantitative rigour and safety best-practices.