The platform incorporates company-specific context into code
generation, testing and reviews through advanced RAG capabilities
and a system that dynamically learns organizational best
practices
TEL
AVIV, Israel, July 10,
2024 /PRNewswire/ -- CodiumAI, the generative code
integrity platform, today announced the launch of its enterprise
platform which empowers development teams to leverage generative AI
to improve code quality. Through organization-specific code
suggestions, tests, and reviews, Codium's enterprise platform
enables enterprises to confidently adopt AI-generated code. Just 16
months since exiting stealth, CodiumAI's solutions are already used
by over 600k developers.
Enterprises are eager to leverage the power of generative AI to
boost developer productivity but are concerned about its potential
negative impact on code quality. Moreover, large organizations have
specific coding standards and best practices that generic AI coding
solutions fail to adequately address. "Without deep knowledge of
organizational context, AI coding tools are like an eager intern on
their first day — smart but lacking company-specific knowledge and
familiarity with the existing codebase," said Itamar Friedman, co-founder and CEO of CodiumAI.
"This gap limits their effectiveness and can even introduce serious
bugs and issues."
CodiumAI addresses these enterprise challenges by providing a
comprehensive platform that facilitates quality assurance and
verification throughout the software development process. The
enterprise platform unifies and enhances CodiumAI's existing suite
of code quality tools that assist with testing, reviewing,
documenting, and validating code.
At the heart of CodiumAI's enterprise solution is its advanced
Retrieval Augmented Generation (RAG) capabilities. This powerful
technology indexes an organization's full codebase, allowing
CodiumAI's tools to gain a deep understanding of the unique context
of each company's code. By leveraging this comprehensive knowledge,
the platform can provide more accurate and relevant suggestions,
ensuring that AI-generated code aligns seamlessly with existing
codebases and practices.
Complementing this deep understanding of code context,
CodiumAI's enterprise platform also features a sophisticated
database of best practices. This dynamic system automatically
learns and reinforces an enterprise's specific coding standards,
adapting to the unique requirements and preferences of each
organization. As development teams use the platform, the system
continually refines its understanding of the company's coding
conventions, architectural patterns, and quality benchmarks.
"Generative AI has immense potential to accelerate software
development, but enterprises have valid concerns about its impact
on code quality and consistency," said Dedy
Kredo, co-founder and CPO of CodiumAI. "LLM hallucinations,
for example, can lead to code that looks good at first glance but
introduces bugs that have a catastrophic impact on the development
process. Our enterprise platform directly addresses these pain
points, ensuring that code functions as intended and meets the
organization's standards. With CodiumAI, enterprises can
confidently embrace AI-generated code and actually enhance code
quality in the process. This is a major step towards our vision of
AI-powered coding that is not only faster but also more reliable
and maintainable."
The CodiumAI platform provides maximum flexibility for
enterprise deployments, with options for cloud, on-prem, and even
air-gapped deployment to meet stringent security requirements.
Enterprises can choose to utilize CodiumAI's proprietary
state-of-the-art models or integrate their preferred language
models. Rounding out the enterprise offering is a dashboard that
provides managers with a holistic overview of usage metrics,
enabling organizations to track and understand the impact of
adopting AI coding on code quality and development efficiency.
Contact
Gavriel
Cohen
Concrete Media for CodiumAI
codiumai@concrete.media
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SOURCE CodiumAI