Build golden path CI/CD workflows in Red Hat Developer Hub
Learn how to author Red Hat Developer Hub golden path templates to scaffold Go microservices and monitor Tekton, Argo CD, and Quay in a unified portal.
Learn how to author Red Hat Developer Hub golden path templates to scaffold Go microservices and monitor Tekton, Argo CD, and Quay in a unified portal.
Implement a regression detector for Red Hat AI Inference, catching performance regressions in CI/CD before release. Learn how in this guide.
Connect AI coding agents to Red Hat Developer Hub to enforce governance rules, prevent compliance violations, and ground architectural choices in your catalog.
Explore free-threaded Python 3.14 on RHEL. Learn how to install python3.14t, manage thread safety, and optimize multi-core CPU performance for your apps.
Learn how to install and configure OpenCode, an open source AI coding assistant, for local development with Ollama, OpenVINO, or Red Hat AI.
Improve large language model inference speed with Speculators 0.6.0's FastMTP-style fine-tuning.
Simplify Red Hat Developer Hub software template authoring with rhdh-templates, an agent skill for best practices and local validation.
Evaluate AI agents on Red Hat OpenShift AI with IBM CLEAR and EvalHub. Learn how to automate analysis for recurring failure patterns in AI agent execution.
Learn how to generate AI-assisted Ansible playbooks with Red Hat's VS Code extension for faster, more accurate code generation.
Red Hat OpenShift Dev Spaces meets Ansible development tools, giving every automation developer a governed, consistent environment in under five minutes.
Streamline Red Hat Ansible development with the MCP server: Reduce context switching and non-deterministic behaviors for reliable automation.
Download latest Red Hat Trusted Artifact Signer releases.
Boost AI coding agent performance with AGENTS.md and Agent Skills. Learn how to standardize project context, structure tasks, and share skills across teams.
Learn how PyTorch's Inductor compiler and vertical fusion optimize GPU code for faster neural network layers
Upgrade your PyTorch training and inference with TorchComms, the new back-end layer for modern large-scale ML systems.
Learn how to migrate your OpenShift web console dynamic plugins for OpenShift 4.22. Update dependencies like React 18 and use Claude Code to upgrade now.
Improve your development workflows with Red Hat OpenShift 4.22, featuring JobSet controller, AI/ML optimizations, and updates to Service Mesh and Pipelines.
Learn how to protect your codebase from security vulnerabilities introduced by AI agents with Red Hat dependency analytics 1.0, an open source extension for VS Code and other editors.
Learn a workaround to upgrade RHEL version 8 to 9, using the leapp tool for systems with configured LUKS disk encryption.
Discover how personal AI notebooks in Red Hat Developer Lightspeed can help developers find specific details in project documents quickly, grounded in context.
Learn practical approaches for building and running Bazel applications on Automotive Stream Distribution (AutoSD) with a focus on toolchain integration and reproducible environments. Explore the native AutoSD GCC toolchain, S-CORE abstracted toolchain, and container-based environment for building Bazel applications on AutoSD.
Headed to WeAreDevelopers World Congress Europe 2026? Visit the Red Hat Developer booth on-site to speak to our expert technologists.
Learn what's new in Red Hat Enterprise Linux 10.2 and 9.8, including Red Hat build of Podman Desktop, advanced AI assistance, and database and toolset updates.
Learn about Red Hat Hardened Images, small containers that incorporate a minimal set of files for delivering purpose-built applications.