FEATURES / REPORTS

Engineering reports that write themselves

Monday morning, your #engineering-leads Slack channel gets a digest of last week. End of sprint, a retrospective lands in your inbox. Board meeting next Tuesday? A polished summary is already waiting. Scheduled or on-demand, narrative-driven, not just data dumps.

Eight reports, one click each

Weekly Digest
What happened this week across teams — velocity, blockers, highlights, risks. The report your team leads wish they had time to write.
Sprint Retrospective
Plan vs reality, predictability score, what slipped and why. Root cause analysis that goes beyond 'we underestimated.'
Board Report
Executive-ready quarterly engineering summary. Investment allocation, delivery predictability, team growth, risk posture. Charts your CFO can read.
AI Impact Report
Monthly breakdown of AI-assisted development across teams. Copilot adoption rates, AI-generated code acceptance, productivity lift by contributor, and ROI analysis.
Onboarding Cohort Report
Monthly cohort tracking of new hire ramp-up against your org's baseline. Time to first PR, first review, first solo feature — with benchmarks and mentor effectiveness.
Attrition Risk Report
Quarterly early-warning assessment. Contributors showing disengagement signals, knowledge-silo exposure per at-risk engineer, and recommended retention actions.
Project Forecast
Lognormal probability distributions for project timelines. P50/P75/P90 completion dates, remaining work decomposition, and 'worth doing?' analysis based on expected cost vs. value.
Code Health Report
Monthly infrastructure and code health audit. Tech debt trends, complexity hotspots, test coverage movement, build reliability, and dependency freshness across repositories.

What a Weekly Digest looks like

Not a spreadsheet. A narrative your team leads actually read.

WEEKLY ENGINEERING DIGEST — Mar 17-21, 2026
Summary
Shipped 3 features, resolved 12 bugs. Overall velocity up 8%
from last week. Review throughput healthy — median wait 6.2h.
One concern: payments team cycle time spiked to 7.1 days.
Highlights
- Search rewrite shipped 2 days ahead of schedule (Platform)
- Test coverage crossed 80% org-wide for the first time
- New hire Priya merged her first feature PR (day 18)
Risks
- Payments: 4 PRs open >3 days, single reviewer bottleneck
- Mobile: Sprint commitment 40% above trailing average
- Auth service: Bus factor = 1 (only Marcus has context)
Project Forecast — Auth Rewrite
- P50: Apr 11 (50% chance) P75: Apr 18 P90: Apr 28
- Lognormal fit, 14 remaining tickets, tail risk from reviews
- Worth doing? Yes — expected cost $42k vs. $110k/yr maintenance
Recommended Actions
- Add a second reviewer for payments (suggest: Sarah or David)
- Revisit mobile sprint scope before Wednesday standup
- Schedule auth knowledge transfer session this sprint

Schedule it once, forget about it

Reports generate automatically on your schedule. No one has to remember to pull the data, compile the metrics, write the narrative, or hit send.

Frequency
Daily, weekly, biweekly, monthly, or per-sprint. Align reports to your actual cadence — not arbitrary calendar boundaries.
Delivery channels
Email, Slack channel, Slack DM, in-app, or via API/MCP. Send the board report to email, the sprint retro to Slack, the daily digest to the engineering channel.
Audience-aware
Each report respects RBAC. Team leads see their teams. VPE sees the org. The board report includes only what you've approved for executive visibility.
# Report schedule configuration
{
"report": "weekly_digest",
"schedule": "every Monday at 8:00 UTC",
"scope": "org",
"deliver_to": [
"slack:#engineering-leads",
"email:vpe@company.com"
],
"include_sections": [
"summary",
"highlights",
"risks",
"recommendations"
],
"comparison_period": "previous_week"
}
# Or just ask in chat:
> Send a weekly digest to #engineering-leads every Monday morning

AI writes the narrative, not just the numbers

Most reporting tools export a table and call it a report. Gitrevio's AI reads the data the way an experienced engineering leader would — spotting patterns, identifying causality, and writing a narrative someone will actually read.

It connects the dots across systems. A velocity drop isn't just a number — it's correlated with the three PRs stuck in review because a key reviewer was on PTO, plus the CI regression from the infrastructure upgrade.

Every report includes recommended actions. Not vague suggestions — specific, actionable steps with the context to back them up.

On-demand when you need it

Scheduled reports cover the routine. But sometimes the CEO asks for an update at 4pm, or you need a custom analysis before a planning meeting.

Ask for any report on the fly in AI chat, via the API, or through MCP. Describe what you need in natural language and get a polished report in seconds.

"Generate a report comparing the mobile and platform teams' delivery predictability over the last 3 sprints, with root cause analysis for any gaps." Done. Exportable as PDF, Markdown, or delivered straight to Slack.

Let AI write your engineering reports.

Get started free