What DevPerform gives you
Delivery & flow
DORA’s four keys, phased cycle time, review health, and weekly trends.
Code quality
Line-level rework/churn and the files that change the most.
AI-native metrics
Human vs. AI-assisted vs. agent-authored work, acceptance, and rework on AI code.
Team health
DX and engagement surveys, driver analysis, goals, and an executive summary.
A team-health tool, not a ranking tool
DevPerform measures teams and systems. Individual data is shown only as a person’s own self-view or as a protective health signal (like a burnout flag) — never as a ranked “who’s fastest” scoreboard. We don’t treat lines of code or PR counts as productivity scores, and we don’t track keystrokes or individual activity. This is a deliberate stance: gamifying individual output metrics backfires, and in the AI era raw line counts mean even less.How it works, briefly
- Sign in with GitHub, GitLab, or Bitbucket, then connect the org / group / workspace and add the repos to track.
- Engineers are added to a roster (manually or imported from your org / group / workspace in one click).
- DevPerform syncs your PR/MR, review, and commit metadata into its own database — hourly and on demand — so dashboards are fast and history builds up over time.
- Metrics are computed from that store and shown per team, per engineer, and org-wide.
Some metrics (rework/churn, AI-native metrics) are part of the Pro plan. Each metric page notes its plan. See Plans.