Tagger gives reviewers a fast first read on scope, complexity, and risk as soon as a pull request opens. It is built for teams that want better triage and cleaner review queues without introducing AI cost or another workflow to manage.
Teams often open a PR with no quick way to tell whether it is routine, risky, documentation-only, or likely to need deeper review. That slows triage, spreads reviewer attention thinly, and makes queues harder to manage.
Tagger analyses the diff algorithmically and posts immediate review context: complexity score, risk level, change classification, and file-level summary. Reviewers can decide where to spend time before reading every line of the diff. It stays free, with no token budgets, prompts, or API spend to think about.
See which PRs need attention first without manual sorting.
Free usage with no tokens, seats, or inference billing.
Reviewers start with context instead of reconstructing it.
Easy to add across repositories without creating process drag.
The setup guide is short because Tagger is meant to work with almost no ceremony.
View Setup GuideInstall Tagger if you want better review signal without changing how the team already works in GitHub. It stays free.