Developer tools

This article describes how to onboard a project and the results using two tools, CodeCov and CodeRabbit.

Discover OpenCode, a model-neutral AI coding assistant that supports over 75 providers, including OpenAI, Anthropic Claude, Google Gemini, and local large language models (LLMs) via Ollama. Switch models on demand, compare outputs, avoid vendor lock-in, and even run fully offline with local models. Learn how to set up your environment in Red Hat OpenShift Dev Spaces.

Learn how to leverage the Model Context Protocol (MCP) to connect VS Code or Cursor to two specialized intelligence streams: one for local system telemetry and one for global proactive security. Discover the benefits of using MCP servers for Red Hat Enterprise Linux and Red Hat Lightspeed for Red Hat Enterprise Linux to diagnose issues with your image mode for Red Hat Enterprise Linux servers.

Learn how to deploy a Podman Quadlet container fully in the Red Hat Enterprise Linux web console. This guide covers creating a Quadlet configuration file, reloading systemd units, and managing the container in the Cockpit Podman plug-in.

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Red Hat Developer Hub 1.9 is now generally available.

Learn how to build agentic AI workflows using cicaddy and MCP servers directly in your existing CI pipeline.

Learn how to manage the security threats and access controls associated with adopting the new Agent Skills functionality.

Learn how to run high-performance computing workloads managed by Slurm within a containerized OpenShift environment using the Slinky operator.

This guide demonstrates the configuration process and provides best practices for deployment with multiple authentication providers in Developer Hub.

This post introduces two interactive, sports-themed hands-on labs designed to

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Learn how to integrate OpenShift Lightspeed into an IDE using the MCP server to generate configurations and query cluster resources without leaving your IDE.

See how to use Apache Camel to turn LLMs into reliable text-processing engines for generative parsing, semantic routing, and "air-gapped" database querying.

Learn how to use Developer Hub to import static catalogs, configure dynamic plug-ins, and integrate with GitHub for repository discovery and user/group import.

Explore the pros and cons of on-premises and cloud-based language learning models (LLMs) for code assistance. Learn about specific models available with Red Hat OpenShift AI, supported IDEs, and more.

Learn how to install Red Hat Developer Hub in a basic configuration.

Learn about the multi-cluster redirector, an open-source tool designed to help enterprises scale Red Hat OpenShift Dev Spaces across multiple OpenShift clusters.

Learn more about the Software Catalog and Templates in the Red Hat Developer Hub.

Learn how to use the Dynamic Plug-in Factory to build and customize Backstage plug-ins for Red Hat Developer Hub.

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This article explores how to use the new features of Red Hat build of Cryostat 4.1 to diagnose problems on Java applications running in OpenShift or Kubernetes.