Chapter 8. Developer Preview features

With this Developer Preview feature, you can configure bootc to pull the host image into bootc-owned container storage, enhancing container image management efficiency. This feature reduces the need for repeated image pulls on the same host, allowing the host image to be reused by container runtimes, such as podman for running and building layered images. It improves overall network performance by using zstd chunking when available and streamlines development and testing processes.

As a result, by configuring the unified storage feature on your system, you can store, manage, and utilize container images more efficiently, providing a seamless bootc container management experience.

Jira:RHELDOCS-21395^[1]

This update introduces goose as an alternative to the command-line interface (CLI) client for the existing RHEL command-line assistant (CLA) back-end service. These changes do not affect the command-line assistant back end, and functionalities remain the same. The goose package is available on the RHEL Extensions repository. You can use the goose text chat interface interactively during the chat session.

When you use goose, before you execute the MCP server or a local Linux command, it prompts you to confirm that the LLM does not break your system or workflow.

For more information, see the Red Hat Knowledgebase article link:https://access.redhat.com/articles/7142302Optimize the RHEL command-line assistant tasks by using goose-redhat].

Jira:RSPEED-2846^[1]

With this Developer Preview, Red Hat Enterprise Linux introduces two new agent skills designed to enhance AI-driven administration and troubleshooting for Red Hat Enterprise Linux (RHEL). The Agent skills for RHEL are built on the Agent Skills (SKILL.md) open standard. These integrations equip AI agents, such as Cursor and Claude Code, with workflows and domain expertise directly from Red Hat.

By using these skills, you can help ensure that the AI-generated guidance aligns with RHEL standards, moving away from generic Linux advice toward recommended Red Hat methodologies.

Jira:RHELDOCS-22164^[1]