Developer Tools

Discover new features of Red Hat Developer Hub 1.4

Explore this year's most popular articles on Kafka data storage and migration, API management, software security, identity and access management, and more.

This tutorial demonstrates how to use Jupyter Notebooks within Red Hat OpenShift

The Red Hat Developer Hub team recently joined the vibrant Backstage community

Discover new features in Builds for OpenShift 1.2, which is now generally available.

Discover how Red Hat Enterprise Linux 10 beta makes the process of packaging Go applications faster than ever before.

Explore how user namespaces can enable nested containers in OpenShift Dev Spaces, allowing developers to achieve flexibility while maintaining security.

This document delves into the performance & scale benefits of using this

Learn how to use and build bootable containers for disk image operating system deployment with Podman Desktop.

This article will guide you through the process of rapid prototyping using Apache Camel, from the initial concept to the final deployment on OpenShift, all within a fully web-based, low-code interface.

Get your own Backstage instance hosted on a Kubernetes cluster in less than 10 minutes. This tutorial explains how to deploy Red Hat Developer Hub on OpenShift.

Learn how to use Red Hat OpenShift AI to quickly develop, train, and deploy

Find out what new features and capabilities have been provided in Red Hat

Cataloging AI assets can be useful for platform engineers and AI developers. Learn how to use Red Hat Developer Hub to catalog AI assets in an organization.

Learn how to use Red Hat Developer Hub to easily create and deploy applications to your image repository or a platform like Red Hat OpenShift AI.

Learn how to use image mode for Red Hat Enterprise Linux to create and deploy a container source for Red Hat OpenShift Virtualization.

Explore new features related to Valgrind's file descriptor and learn how to use them to track the file descriptors your program is using—or misusing.

Learn how to set up a cloud development environment (CDE) using Ollama, Continue

Red Hat offers extensions for VS Code and IntelliJ that allow developers who

Artificial intelligence (AI) and large language models (LLMs) are becoming

Part 3 in a series about improving Clang's constant expression interpreter.

A popular technique modern compilers use to improve the runtime performance of compiled code is to perform computations at compile time instead of at runtime. However, constant expressions need to be evaluated at compile time for a variety of reasons. To help resolve this problem, I've been working on improving the Clang's constant interpreter.

Timm Baeder explains the upstream work he has been doing on a new constant expression interpreter for Clang.

GCC Toolset will no longer include GDB. This article discusses the hows and whys of this change.

Enables cryptographic signing, verification of software, and provenance metadata