Red Hat integrates IBM Watsonx code into Ansible automation applications

Red Hat Inc recently announced that Ansible Lightspeed equipped with IBM watsonx Code Assistant, a generative artificial intelligence service for information technology automation, is now generally available.

The service, released in May this year, accepts user-entered prompts and interacts with Watsonx's proprietary underlying model to generate code recommendations based on Ansible best practices. Matthew Jones, chief architect of Ansible automation at Red Hat, said the service, built specifically for Ansible, increases automation developer productivity by 25% to 40% in the pre-release phase.

Jones said that AI-generated features should be transparent to users. As they create and edit Ansible playbooks and rules, they can enter text prompts and receive output translated into YAML code. Jones said using Lightspeed with Watsonx has the added advantage of supporting best practices for automated development and maintenance. "The community has only provided a training database for our Galaxy products," he said. This refers to Red Hat's Ansible shared code base. "It contains automation code written by Ansible users, Red Hat and Red Hat partners. Its data volume is approximately tens of gigabytes."

The effect of Watsonx Code Assistant is to enhance current mature coding practices . "The way people write Ansible has changed over the years," Jones said. "We've developed best practices and style guides that we want to make sure people follow."

Transparent Extension

In 2015, Red Hat acquired Ansible and continues to add new features, including a generative artificial intelligence front-end and streaming media support in May last year. Ansible is an agentless open source automation tool that can simplify complex tasks such as configuration management, application deployment, and task automation. It is often used in infrastructure-as-code scenarios. A natural extension of workflow and content tools. It provides accurate, consistent code recommendations that meet business needs. It is natively integrated with the Ansible VSCode extension, meaning developers and operators don’t need to log in or access a separate tool or service to use Code Assistant functionality Each recommended automation provides a reference of three to five training sources. Upstream content contributors can also choose whether to contribute their work to help with model fine-tuning.

Red Hat has added many enterprise-focused features since its initial release. “We’ve made a lot of improvements to the model, refined the service, and added cleaning and acceleration capabilities,” Jones said. Features for commercial customers include enhanced data pipeline filters that clean data, prevent leaks, and preserve language models. Context

Full use of Ansible Lightspeed with Watsonx Code Assistant is now available with a subscription to Ansible Automation Platform. There will be an additional fee for this service, and the exact fee has not yet been determined. Later this year, fine-tuning capabilities will be available for organizations to train custom models.

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