Code review bottlenecks can be eased by automating code review with LLMs, Harjot Gill, founder of CodeRabbt, says in this episode of The New Stack Makers.

The New Stack is a publication covering trends and technologies in cloud-native development, DevOps, and software delivery. Developers can learn about containerization, Kubernetes, and cloud computing, as well as explore topics such as microservices architecture, serverless computing, and continuous integration/continuous delivery (CI/CD) pipelines.

The New Stack

AI coding assistants like CodeRabbit are accelerating code generation but are causing bottlenecks in the human code review process. The integration of AI in code reviews aims to automate and enhance the process by gathering extensive context and performing initial analysis. CodeRabbit clones repositories to provide AI agents with full access to navigate codebases, reducing the cost and complexity of software maintenance. There are challenges including compounding errors in AI agents which require addressing to improve reliability.

The New Bottleneck: AI That Codes Faster Than Humans Can Review