AI Code Review

The use of artificial intelligence in code review is no longer something experimental — it is a practical tool that is gradually being integrated into the production processes of mature development teams.

AI assistants are capable of:
🔹Finding common mistakes and antipatterns.
🔹Detecting code style violations.
🔹Pointing out complex or inefficient logic.
🔹Assessing code compliance with specified security and performance rules.

This helps reduce the workload on engineers, accelerate product feature implementation processes, and ensure more consistent quality in large teams.

At the same time, AI does not completely replace an experienced specialist. Context, product logic, understanding of long-term architectural decisions — all of this requires human involvement. Therefore, the optimal approach is a combination of AI and human input in the review process.

At WebbyLab, we are exploring the use of LLMs for automating technical reviews, taking into account the specifics of our projects.
The question is not whether to do it, but how to make it effective in your team.