Developer Tools

Quarkus and LangChain4j Thanksgiving

Red Hat OpenShift AI is a platform designed for Machine Learning Engineers, AI Engineers, data scientists, and developers of artificial intelligence (AI) applications. It offers a fully supported environment that enables rapid development, training, testing, and deployment of machine learning models either on-premises or in the public cloud. OpenShift AI is available as a managed cloud service add-on to OpenShift cloud services or as self-managed software, which can be installed on-premise or in the public cloud on OpenShift. In this...

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

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.

Serverless logic in Red Hat OpenShift enables developers to use workflows for function and event orchestration. Learn how it works and how you can get started.

Explore how to modify a non-standard library cryptography operation to call into OpenSSL conditionally based on system FIPS requirements.

This tutorial gives you a unique chance to learn, hands-on, some of the basics of large language models (LLMs) in the Developer Sandbox for Red Hat OpenShift.

Blog

What's new in Red Hat Developer Hub 1.3

Christophe Fargette +1

October 3, 2024

Explore what's new in Red Hat Developer Hub 1.3, which includes support for Red

Learn how you can run RHEL on Windows as a Windows Subsystem for Linux distribution using Red Hat Enterprise Linux image builder.

The first article in a series exploring the journey of building an IDP using Red Hat Developer Hub, a platform based on Backstage, to streamline development workflows and boost team productivity.

bootc: Getting started with bootable containers

Valentin Rothberg +1

September 24, 2024

With bootc (bootable containers), you can use the same container technology for building and managing immutable operating systems. Check out these two video demos and learn how to get started.

The latest releases of Quarkus Tools for IntelliJ 2.0.2 and Quarkus Tools for Visual Studio Code 1.18.1 deliver significant enhancements to support Quarkus and Qute, making development smoother across both IDEs.