TEL AVIV, Israel, July 10, 2024 — CodiumAI, a leading generative code integrity platform, has unveiled its new enterprise platform designed to enhance code quality through generative AI. This innovative platform integrates company-specific context into code generation, testing, and reviews, utilizing advanced Retrieval Augmented Generation (RAG) capabilities and a system that dynamically learns organizational best practices.
Since emerging from stealth mode just 16 months ago, CodiumAI has been adopted by over 600,000 developers. The new enterprise platform aims to address the common concern among large organizations that, while generative AI can boost developer productivity, it might compromise code quality and fail to meet specific coding standards.
“It’s like having a smart, eager intern who needs to understand your unique codebase and practices,” explains Itamar Friedman, co-founder and CEO of CodiumAI. “Without this deep understanding, AI tools may introduce serious bugs.”
CodiumAI’s platform unifies and enhances its suite of tools for code testing, reviewing, documenting, and validating. At its core are advanced RAG capabilities that index an organization’s entire codebase, allowing the platform to provide accurate, context-aware suggestions. This ensures AI-generated code aligns seamlessly with existing practices and standards.
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The platform also features a dynamic database of best practices, continually learning and adapting to an enterprise’s specific coding standards. As development teams use the platform, it refines its understanding of coding conventions, architectural patterns, and quality benchmarks, ensuring ongoing alignment with the organization’s unique requirements.
“Generative AI can significantly speed up software development, but concerns about code quality and consistency remain,” says Dedy Kredo, co-founder and CPO of CodiumAI. “Our platform addresses these issues, ensuring code quality and adherence to standards. This allows enterprises to confidently embrace AI-generated code, enhancing both speed and reliability.”
CodiumAI offers flexible deployment options, including cloud, on-premises, and air-gapped setups to meet stringent security requirements. Enterprises can choose between CodiumAI’s state-of-the-art models or integrate their preferred language models. Additionally, a comprehensive dashboard provides managers with an overview of usage metrics, helping organizations track the impact of AI coding on code quality and development efficiency.
