IBM Launches watsonx Code Assistant
IBM launched watsonx Code Assistant, a generative AI-powered
assistant that helps enterprise developers and IT operators code more quickly
and more accurately using natural language prompts. The product currently
delivers on two specific enterprise use cases. First, IT Automation with watsonx Code
Assistant for Red Hat Ansible Lightspeed, for tasks
such as network configuration and code deployment. Second, mainframe
application modernization with watsonx Code Assistant for Z, for translation of COBOL to Java on IBM Z.
Designed to accelerate development while maintaining the principles of
trust, security, and compliance, the product leverages generative AI based
on IBM's Granite foundation models for code running on IBM's
watsonx platform. Granite uses the decoder architecture, which underpins
large language model capabilities to predict what is next in a sequence to
support natural language processing tasks. IBM is exploring opportunities
to tune watsonx Code Assistant with additional domain-specific generative
AI capabilities to assist in code generation, code explanation, and the full
end-to-end software development lifecycle to continue to drive enterprise
application modernization.
According to a recent IDC report, "Because it relies on a model
trained on curated data, watsonx Code Assistant can help enterprises improve
code quality by propagating best practices through code recommendations,
instead of polluting enterprise code bases with code generated by models
trained on unvetted repositories."2
"With this launch, watsonx Code Assistant joins watsonx Orchestrate
and watsonx Assistant in IBM's growing line of watsonx assistants that provide
enterprises with tangible ways to implement generative AI," said Kareem
Yusuf, Ph.D, Senior Vice President, Product Management and Growth, IBM
Software. "Watsonx Code Assistant puts AI-assisted code development and
application modernization tools directly into the hands of developers – in a
naturally integrated way that is designed to be non-disruptive – to help
address skills gaps and increase productivity."
Additionally, IBM Consulting brings deep domain expertise across these
use cases working closely with clients across industries such as banking,
insurance, healthcare and government, to build strategies to allow them to take
advantage of the potential of generative AI and code generation to accelerate
modernization.
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