[solutions]
Ship faster with a reviewer your engineers respect.
Engineering leaders need stronger review quality, linked task context, and a clean path to governance without changing tools later.
Accepted findings
74%
High-signal review output across active repositories.
Median review time
38s
After static pre-filtering removes trivial churn.
Security coverage
91%
Critical review lanes stay active across repositories in scope.
[repo drill-down]
Know which repos trust the review and which need tuning.
payments-api
PCI + bugs
identity-service
security-heavy
developer-portal
style + regressions
[priority set]
What Engineering Leaders need...
Higher-signal review
Specialist reviewers plus Judge verification reduce noise and keep output useful.
Task-aware review
Linked bugs and features can trigger regression and acceptance checks inside the same review.
Measured trust
Acceptance trends and severity mix show where the system is working and where tuning is needed.
No future rewrite for regulated teams
Compliance enforcement, governance, and evidence are already in the product when those requirements arrive.
[throughput]
The goal is faster review, not faster noise.
Autometric is built to surface the issues engineers actually care about: bugs, auth flaws, performance regressions, and risky patterns that would otherwise escape into production.
[task context]
A PR should match the work item behind it.
Bug tickets can demand regression coverage. Feature tickets can demand acceptance coverage. That context keeps reviews aligned to intent.
[measured adoption]
Trust becomes visible as rollout expands.
Acceptance trends, severity mix, and repository-level signals show where teams trust the reviewer and where tuning is still needed.
[cta]
Want to see the review engine before the governance pitch?
Book a demo focused on review quality and adoption. The compliance layer can come in after the engineering case is clear.