Evolving beyond the .env file: Frictionless AI Tooling with OpenShift Dev Spaces

TL;DR: AI-assisted coding tools are transforming developer productivity. However, managing access to these tools via local .env files introduces significant security risks and operational friction. This article explores how to achieve a Zero Trust architecture using the Red Hat Advanced Developer Suite, OpenShift Dev Spaces, and the External Secrets Operator to dynamically inject AI API […]

A personal AI assistant for developers that doesn’t phone home

tl;dr It’s no surprise that developers are looking for ways to include powerful new technologies like AI Assistants to improve their workflow and productivity. However, many companies are reluctant to allow such technology due to concerns about privacy, security and IP law. This article addresses the concerns about privacy and security and describes how to […]

Develop faster, operate smart: A Kubernetes-native guide to AI application development

tl;dr A Kubernetes-native software engineering approach for the development of AI applications helps you increase developer productivity, optimize resource consumption as well as simplify operations. A hands-on demo of this approach can be seen here. Two-step development approach The usage of an AI/ML model in an application requires basically a two-step development approach. The first […]