AI Code Review: Agent Reads Tickets, Not Just Diffs

An AI agent reviewed eleven pull requests last month before they shipped to a main branch. This approach focuses on providing context to AI models. The article explains that many AI code reviews only read the "diff," which shows what changed, but not why. The author built a reviewer that reads the ticket associated with the change. This helps the AI understand the intent behind the code. What's interesting is how this system handles different types of pull requests. Many code reviews are just quick approvals for minor changes, which the article calls "fake reviews." This new system aims to separate these quick approvals from more critical reviews. It uses a classifier to determine how risky a change is. Safe changes can be automatically approved, while others require more thorough human attention. This helps ensure that engineers focus their valuable time on high-impact reviews.