
Practical guides on AI code review, pull request security, quality scoring, and keeping review costs predictable.
A practical checklist for finding auth, injection, and secret-handling flaws at review time, and how to run it on every PR automatically.
Per-seat pricing charges for every developer. Credit pricing charges for the reviews you actually run. How to compare them honestly for your team.
A severity-weighted, size-adjusted, security-aware scoring model built from real review findings, and how to read it without gaming it.
What BYOK means for an AI code reviewer, when it beats platform credits, what to check about key storage, and how to set it up in DiffNova.
Why a review bot should be a GitHub App with narrow permissions, what each permission grants, and what to check before installing one.