The use of large language models (LLMs) in software development has brought about significant acceleration in code writing processes. However, this increased speed necessitates a more strategic approach to code review, ensuring that code quality, security, and maintainability are upheld at scale.
CodeRabbit, a startup, integrates generative AI into the code review process, assessing code quality and security within platforms such as GitHub and VS Code. This AI reviewer complements existing CI/CD pipelines. Harjot Gill, the founder and CEO of CodeRabbit, discusses the company’s architecture on a podcast with Kevin Ball. They explore topics including CodeRabbit’s multi-model LLM strategy, agent reasoning tracking, context window management, and insights from establishing the company.
Note: CodeRabbit sponsors this podcast episode.
Kevin Ball, known as KBall, serves as the vice president of engineering at Mento and works as an independent coach for engineers and engineering leaders. He has co-founded and served as CTO for two companies, established the San Diego JavaScript meetup, and facilitates the AI inaction discussion group through Latent Space.
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