Reduce review time
Why it matters
Code review is typically the largest contributor to long lead times. Changes can sit unreviewed for hours or days not because reviewers are unwilling, but because they lack context on which PRs need attention most urgently. Reducing review time directly improves lead time, developer satisfaction, and deployment frequency.
What to track
- Review rounds: How many back-and-forth cycles happen before approval.
- PRs blocked on review: Number of open PRs waiting for their first response.
- Standards violations caught in review: Late-stage rework caused by missing descriptions, labels, or linked issues.
How Port helps
Port's AI agents enrich open PRs with catalog context like service criticality, recent incidents, on-call owner, related dependencies so reviewers can prioritize without digging. Scorecards measure PR standards compliance, catching issues before review starts. Automated reminders handle the follow-up loop that currently depends on humans chasing each other.
Example scenario
A team lead notices that time to first review has climbed to 2 days. They set up the PR Enricher agent, which starts annotating PRs with service context and risk signals. Reviewers can now quickly identify which PRs are urgent versus routine. They also enable automated Slack reminders for PRs approaching the 24-hour SLA. Within three weeks, time to first review drops to 6 hours and review rounds decrease by 30%.
Recommended guides
Make PRs self-explanatory
- Setup PR Enricher AI agent
- Auto-enhance PR descriptions with AI
- Smart PR reviewer assignment using AI