One of the most immediate and impactful uses of LLMs has been in software development. These models can drastically speed up code writing, but this increased speed also demands more thoughtful, scalable code review methods. Implementing AI in the development workflow requires reimagining how to maintain quality, security, and sustainability on a large scale.
CodeRabbit is a startup incorporating generative AI into the code review process. It assesses code quality and security within platforms like GitHub and VS Code, serving as an AI reviewer that complements existing CI/CD pipelines. Harjot Gill, the founder and CEO of CodeRabbit, discusses the company’s architecture on the podcast with Kevin Ball. They cover CodeRabbit’s multi-model LLM strategy, tracking reasoning trails, managing context windows, and insights from bootstrapping the company, among other topics.
Full Disclosure: This episode is sponsored by CodeRabbit.
Kevin Ball, also known as KBall, is the vice president of engineering at Mento and works as an independent coach for engineers and engineering leaders. He co-founded and was CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.
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