AI Code Review
The practice of using artificial intelligence models to automatically review code changes and provide feedback. It can be embedded at the coding, commit or pull request stages, with the aim of detecting defects early and improving code quality.
Timeline (last 90 days)
A considerable proportion of code reviews are currently completed with AI participation, but according to the wording cited in the study, this is still regarded as a minority case.
For teams considering adopting AI code review, moving AI review earlier into the coding process rather than triggering it only after a PR is submitted can significantly reduce rework.
When an AI agent is responsible for code review in a CI pipeline, reusing an old evaluation receipt after a model failover causes the gate to pass a change that the new model has never scored
All Facts (3)
A considerable proportion of code reviews are currently completed with AI participation, but according to the wording cited in the study, this is still regarded as a minority case.
50%UnverifiedFor teams considering adopting AI code review, moving AI review earlier into the coding process rather than triggering it only after a PR is submitted can significantly reduce rework.
50%UnverifiedWhen an AI agent is responsible for code review in a CI pipeline, reusing an old evaluation receipt after a model failover causes the gate to pass a change that the new model has never scored
50%