Engineering, observed at the source

The engineering report your team isn’t writing

Zeye reads the work itself — commits, deploys, hours, incidents — so you don’t have to ask how engineering is going.

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Work tracking

Tickets that update themselves

Open a PR with ZEY-12 in the title; Zeye moves the ticket to In Review. Merge it; it ships to Done. Cycles, boards, hierarchy, labels, WIP limits — all reading from the same source of truth as the code.

Time

Hours that turn into answers

Worklogs become per-feature cost. Per-team velocity. Per-engineer signal. Approvals, exports, and timesheets included — without anyone owning the spreadsheet.

DORA

Metrics with context, not vanity

Lead time you can drill from a P50 number into a specific PR. Deployments tied to commits. Change failure rate that points at the change, not the chart.

Lead Time: 6.1h
-23% vs avg
Commit0h
Review4.2h
Deploy6.1h
Hotspots

See where things are about to break

Zeye reads complexity, churn, ownership, and review velocity together. The files most likely to cause the next incident surface before they do.

Code Hotspots
3 files at risk
auth.ts
Complexity
8.2
Churn
12
Authors
23
Risk Level10%
api/users.ts
Complexity
6.1
Churn
8
Authors
15
Risk Level5%
utils/db.ts
Complexity
4.3
Churn
5
Authors
8
Risk Level2%
AI

Models that read your code, not your prompts

PR summaries grounded in the diff. Review coaching trained on your team’s patterns. Repo Guardian watching for security regressions on every push.

AI Risk Assessment
3 insights

Complex logic in auth.ts:142

High
auth.ts:142

Missing error handling

Medium
auth.ts:142

Code coverage improved

Good
auth.ts:142
Product

Every feature carries its number

Cost, recommendations, market signal, usage — rolled up to anything you call a product. The cross-cutting view a PM actually wants.

Stop asking how engineering is going.

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