CodeRabbit leverages AI to boost software output 20x while enhancing code security

CodeRabbit, a platform utilizing OpenAI models, is enabling engineering teams to significantly increase software delivery, reporting a 20-fold increase in output with the same staff size by leveraging Codex. Harjot Gill, co-founder and CEO of CodeRabbit, noted that code reviews represent the primary hurdle when adopting coding agents. The platform, which is used by over 20,000 organizations and 150,000+ open-source projects, employs AI-powered governance to validate AI-generated code. The company has seen improvements in performance from OpenAI, allowing it to integrate more AI agents into reviews. Furthermore, CodeRabbit has expanded its use of agents, moving capabilities from research into the product, with lower-cost models like GPT-6 Luna supporting more subagents. CodeRabbit also uses its Daybreak integration with Codex models for security, notably in its CodeRabbit Secure offering. During a recent promotional period, the company identified over 43,000 security vulnerabilities across 13,000 deep scans. Gill also mentioned that the company is running operations, including managing Google Ads and creating documents, as code, demonstrating a push toward running the company as code.