Your weekly engineering report, ready to send in ~5 minutes.
Enginara pulls commits, reviews, CI, and delivery progress from GitHub, GitLab, Jira, Linear, ClickUp, and Trello (plus Figma design and PagerDuty incidents) into one weekly report. The numbers are computed in the backend, the AI writes the insight, and every claim traces back to its source.
- Metadata only
- Compare 7 vs 7
- Coaching-safe
- Private AI (Ollama)
The honest math
From 6 hours by hand to 5 minutes
6 hours
building the engineering report by hand: tab-hopping, copy-pasting numbers, every week
5 minutes
with a report that writes itself in Enginara
How does that work? Follow the data.
One pipeline · four stops
Follow the data
From the tools your team already uses to a report you can actually send. This is the route your data takes through Enginara.
01 · Connect
Every signal comes from tools you already use
Eight integrations across four categories: code host, task tracker, design, and incident. Only metadata is pulled, never your source code.
GitHubCode host
Commits, pull requests, reviews, and CI status. Metadata only, never file contents.
GitLabCode host
Commits, merge requests, approvals, and pipeline status. Metadata only.
JiraTask tracker
Issues, sprints, status transitions, assignees, and labels.
FigmaDesign
File versions, comments, and contributors.
LinearTask tracker
Issues, cycles, projects, status, and assignees.
ClickUpTask tracker
Tasks, lists, sprints, status, and assignees.
TrelloTask tracker
Cards, lists, boards, and status moves.
PagerDutyIncident
Incidents, start and resolve times, and severity.
02 · Facts
The backend computes the facts: deterministic, auditable
Metrics, trends, health scores, and the DORA delivery numbers come from real events: commits, reviews, deploys, incidents. When the data is not there, the metric is marked unavailable. It never gets guessed.
Illustrative numbers. In your workspace every one of them is computed from real events: commits, reviews, deploys, incidents. Not AI estimates.
03 · Narrative
Only then does the AI write the narrative
The model does not calculate and it does not invent numbers. It narrates facts that already exist, and every claim points back to its evidence.
Review flow slowed down this week. Median review time climbed to 14 hours review_time 14h, mostly because two large PRs were waiting on the same reviewer PR #412PR #418. Deploys stayed healthy, 9 of them with no new incident deploys 9x, so the risk sits in the review queue, not in release quality. For next week: add a backup reviewer on the payment-api repo.
Sample narrative. In a real report, clicking an evidence chip jumps to the PR, deploy, or incident behind it.
04 · Report
End of the line: a report you can send
Executive summary, health scores, risks with evidence, action items. Same shape every week. Switch team tabs to see how it reads.
The numbers above are illustrative. A real report runs on your own workspace’s repositories and task tracker.
Why Enginara exists
“If a claim can’t be traced back to the data behind it, it doesn’t belong in the report.”
Founder, Enginara
Read the fairness statement
The same rule applies to our own claims. Don’t take the time-saved number above on faith. Run it with your team’s assumptions.
Transparent pricing in Rupiah
Pick the plan that fits your team
Every plan starts with a 14-day trial, no credit card. Prices exclude tax.
FAQ
Which integrations does Enginara support?
Does Enginara read our source code?
Does Enginara compute DORA metrics?
Can the AI make numbers up?
What period does the weekly report cover?
What is the confidence level on a report?
Can we self-host Enginara?
Why not just build this in-house?
How does pricing work?
14-day free trial · no credit card
Your data already exists. Just connect it.
Connect your tools, pick a scope, and the first report is usually ready in under 15 minutes, with evidence and an action plan the team can talk through right away.

