4 items
Filter AI/bot review noise, collapse duplicate comments, and focus on what changed in GitHub pull requests. GitHub pull request reviews get noisy fast. AI reviewers, bots, duplicate findings, resolved threads, and repeated comments can make it harder to see what actually needs your attention. ReviewSieve cleans up the review experience directly inside GitHub so you can focus on the feedback that matters. What ReviewSieve helps you do: • Hide AI and bot review comments when you want a human-only view • Focus on unresolved feedback • Collapse duplicate review findings • See what changed since your last visit with Review Delta • Restore the full review at any time with Show All • Move, resize, or minimize the ReviewSieve panel to fit your workflow Built for developers who review pull requests with multiple automated reviewers, AI coding tools, or large review threads. ReviewSieve works directly on GitHub pull request pages and does not delete or resolve GitHub comments. Filters only change what is visible in your browser. Why ReviewSieve? Modern pull requests can generate a lot of review output. The problem is no longer getting feedback — it is finding the few comments that actually require attention. ReviewSieve turns a crowded PR review into a focused queue so you can spend less time scanning and more time fixing. Works with GitHub pull requests.
Sep 18, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.