Developer tools

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.

Red Hat Developer Hub 1.10 is now generally available.

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.

Explore new GCC 16 features for C++ developers. Learn about improved hierarchical error messages, updated SARIF output, and experimental HTML diagnostic tools.

Learn how to build and push .NET container images in Tekton pipelines without a Dockerfile. See how the dotnet-publish-image task simplifies your CI/CD workflow.

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.