CodiumAI, the company that focuses on the integrity of generative code, today announced its enterprise platform designed to enable development teams with the power of artificial intelligence in quality code improvement.
Enterprise software market-focused generative AI is aimed at developer productivity. Still, there are some questions left out on possible side effects over code quality for large organizations with established coding standards and best practices.
As Itamar Friedman, co-founder and CEO of CodiumAI, put it: “Generic AI coding tools are like enthusiastic new hires. Bright, but lacking specific knowledge and familiarity with existing codebases which are crucial for success.”
The CodiumAI Platform meets the challenges of this area, providing a full set of tools to integrate Quality Assurance and Verification all along the development lifecycle, building on what CodiumAI already offers in testing, reviewing, documentation, and code validation.
The platform is powered by RAG, or Retrieval Augmented Generation technology. RAG indexes an organization’s entire codebase deeply, enabling the suite of tools from CodiumAI to understand the unique context of each company’s code. This puts the platform in a position to deliver more relevant and accurate suggestions, making sure AI-generated code fits smoothly with existing practices and code bases.
Supporting this deep understanding of the code is a knowledge database backed by best practices. This dynamic system is learning all the time, continuously reinforcing those coding standards in an enterprise that are specific to it and adapting with time to be in line with the unique needs of the organization.
With every application worked on using the platform, the system continuously fine-tunes the understanding of the company’s conventions for coding, architectural patterns, and quality benchmarks.
“I believe that the potential for speeding up software development with generative AI is massive,” said Dedy Kredo, CodiumAI co-founder and CPO. “At the same time, enterprises definitely have valid concerns regarding the impact on the quality and consistency of the code.”
This very concern is what CodiumAI’s platform addresses head-on, allowing enterprises to take advantage of AI-generated code without compromising original functions and organizational standards. According to Kredo, it boosts code quality with ensured confidence at the same time. It provides maximum flexibility in deployment, from cloud to on-premise and even air-gapped environments for the strictest security needs.
Besides, companies are given a choice of their favorite language models or those developed proprietary to CodiumAI. These, along with a comprehensive dashboard on usage metrics, give managers a high-level overview of efficiency changes in development caused by coding with AI and code quality.
