Cutting Release Times with Automated AI Code Reviews

Manual code reviews, while essential for maintaining code quality, often become a bottleneck — causing delays, introducing inconsistencies and increasing developer fatigue. As teams scale and projects become more complex, relying solely on human reviewers slows down release cycles and affects overall productivity. In this blog post, we dive into how automated AI code review APIs are reshaping the software development process. Powered by large language models (LLMs), these tools provide instant, intelligent feedback directly within GitLab and GitHub workflows. We’ll explore how AI reviews enable up to 30% faster release times, reduce context switching, support multiple languages and promote cleaner, more consistent code. From seamless CI/CD integration to the future of auto-suggested fixes, this post covers the key reasons why now is the time to adopt AI-powered reviews and future-proof your development pipeline.