review

Automated PR review analyzes code diffs against the base branch to surface SQL safety, LLM trust boundary violations, and conditional side effects. It uses commit messages and descriptions to detect drift and generate actionable, structured guidance before merging.

Detecting scope creep in a git diff involves comparing PR intent against TODOS, descriptions, and commit messages. This automated drift detection identifies missing requirements and structural issues, outputting concrete next steps, checks, and questions to streamline code approvals.

Automated diff analysis scans PR changes to find access-control violations, SQL safety concerns, and side effects before merging code. It requires a Git repository with a known base branch to generate structured guidance suitable for follow-up actions and approvals.

Git diff analysis identifies conditional side effects in pull requests by examining structural changes within the diffs. It proactively surfaces these regressions alongside trust-boundary risks, providing actionable checks and telemetry logs to prevent safety or quality degradation.

AI-assisted code reviews require a Git repository with a known base branch to function correctly. The workflow uses this base branch reference to analyze diffs, detect intent drift, and output structured guidance for follow-up actions.

Reviewing merge requests for LLM trust boundary violations relies on comparing diffs against a known base branch. The analysis is limited to detecting structural issues, SQL safety risks, and drift from commit messages, requiring existing PR data to generate actionable findings.