IBM watsonx Code Assistant leverages generative AI to accelerate development while maintaining core principles of trust, security and compliance. Developers and IT operators can accelerate application modernization efforts and generate automation to quickly scale IT environments. Watsonx Code Assistant is powered by IBM's Granite foundation models, which include state-of-the-art large language models for code and are designed to help IT teams produce high-quality code through AI-generated recommendations based on natural language requests or existing source code.
Demand group:
["Accelerate development and increase developer productivity", "Reduce errors and improve quality", "Unlock development potential", "Accelerate time to production"]
Example of usage scenario:
Use natural language requests to generate Python code for a function that returns the maximum numeric value
Convert old COBOL code to Java code
Using the Ansible extension code example to generate a playbook that configures the server
Product features:
Code generation - Generate fresh code with appropriate syntax from natural language requests
Code Matching - Gain transparency with visibility into potential sources that generate code recommendations
Code modernization - convert code from one language to another or refactor legacy code