Code quality

Monitor how AI-assisted commits affect quality, tests, and review load across your repos.

Signals improving—

Quality KPIs

Rolling 30-day window across AI-assisted workloads.

Loading metrics…

Quality score

0.0±0.0 pts

Normalized 0-100 index over last 30 days

AI-assisted coverage

0%±0.0%

Commits with high AI likelihood

Test coverage (AI commits)

0%±0.0%

Commits flagged with test heuristics

Average diff size

0 LOC±0 LOC

Lines changed per AI-assisted commit

Quality score, AI coverage, and test presence by week.

We'll chart trends once AI-assisted commits start landing in this workspace.

Ranked by risk score

No risky AI-assisted commits detected in the last 30 days.

Automated protections applied to AI-generated changes.

at-risk

AI-generated changes with test coverage at 0%.

at-risk

High-confidence detections cover 0% of AI commits.

passing

0% of commits require senior review based on size & AI score.

passing

Documentation-only commits make up 0% of AI-flagged changes.

Focus reviews on repos where AI impact is highest.

We'll populate repository insights once AI metrics appear for your repos.

Top recommendations based on the current quality signals.

Quality score 0 indicates elevated risk. Prioritize reviewing AI-heavy diffs.

Only 0% of AI-assisted commits include tests. Reinforce guardrails for critical repos.