Taming Enterprise Monorepos with CRken
Enterprise monorepos offer power and flexibility — but at a cost. As codebases grow and languages multiply, human reviewers struggle to keep up with massive, complex diffs. That’s where CRken comes in. This GitLab-native AI reviewer uses large language models to break down changes, analyze them in context and deliver precise, actionable feedback across 10+ languages. In this post, we explore how CRken helps teams scale code quality without slowing development, making it easier to ship faster, safer and smarter.
LLMs in Automated Code Review: Transforming Software Development
As software development grows more complex, ensuring high-quality code while meeting tight deadlines becomes increasingly challenging. Large Language Models (LLMs) are revolutionizing code review by automating routine checks, accelerating feedback, and enhancing software quality. These AI-powered tools, integrated into popular platforms like GitLab, provide fast, consistent and actionable insights directly within CI/CD workflows. While not a replacement for human expertise, LLMs complement developers by catching bugs, recommending refactorings, and even identifying security vulnerabilities early. In this post, we explore how LLM-powered tools are reshaping development practices, their benefits in Agile and DevOps environments and what the future holds for AI-driven software quality.