Lightspeed technology code#
Ansible Lightspeed makes existing subject matter experts far more efficient by doing a lot of the work for them.”Īnderson added that IBM’s CIO team actively participated as early testers of Ansible Lightspeed with IBM Watson Code Assistant, resulting in notable productivity improvements. This accelerates their ability to generate that a lot faster. “Existing subject matter experts will be much more efficient by filling out a lot of the repetitive pieces of code as they’re creating an automation playbook, which is ultimately YAML code.
“This uses generative AI from IBM’s foundation model trained on a specific domain (Ansible), to help people create automation faster,” Anderson explained. This collaborative effort also included post-recommendation training based on subject matter expertise, highlighting the combined strengths of Red Hat’s domain expertise and IBM’s proficiency in LLMs, foundation models and AI. IBM contributed its expertise in the field of LLM, while Red Hat contributed their specific domain knowledge to train the model using publicly available Ansible automation content. Leveraging IBM Research LLMĪccording to the company, the development of the tool involved leveraging a large language model (LLM) derived from IBM Research. “How much time you’re saving depends on the complexity of the playbooks you’re developing, but when you’re trimming a task from 30 to 60 minutes to 5 or 10 minutes, multiple times a day, it adds up,” he said. He added that users can access the service directly in their code editor for a “real-time productivity boost” to their existing workflows. But it is a true enhancement to the creation experience.” Again, Ansible Lightspeed isn’t intended to be a silver bullet. “Ansible Lightspeed can help developers and operations teams produce better automation code much more quickly. “Writing quality automation code takes time and resources,” said Anderson. Ansible Lightspeed can boost the efficiency of an organization’s automation efforts and improve ROI and time to value. But, standing up automated workflows can be complicated and time-consuming.
Lightspeed technology driver#
He said he believes that IT automation is a key driver of operational efficiency and frees teams up to focus on innovation. “In addition to the data from Ansible Galaxy, the model has been (and continues to be) fine-tuned with additional Red Hat and IBM IT automation subject matter expertise.” “The foundation model is trained with data from Ansible Galaxy, a huge open-source repository of Ansible content covering a plethora of use cases and vertical applications of Ansible technology,” said Anderson. Leveraging natural language models to streamline automationĪnderson told VentureBeat that the foundation model optimized for NLP is the cornerstone of the collaboration between Red Hat and IBM, distinguishing Ansible Lightspeed from other tools. This allows users to explore new automation domains.
Moreover, the tool harnesses the vast repository of Ansible subject matter expertise within the Ansible Lightspeed foundation model. Furthermore, it caters to users who have a deep understanding of what needs to be accomplished but lack the YAML proficiency to craft compliant and efficient playbooks independently. The company says this new tool empowers domain experts to effectively translate their process knowledge and objectives into code. “Users can use natural language prompts to get code recommendations for generating tasks, which are the building blocks of Ansible Playbooks,” said Anderson. How? By making it easier for automation domain experts to translate their expertise into working automation code, he said.
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