Linkence searches your repos, tickets, wikis, and chat together, and reconstructs the technical narrative (the PR, the incident, the decision) with citations.
Every technical claim cites the PR, ticket, or page it came from.The code is in GitHub, the ticket in Jira, the runbook in Confluence, and the incident discussion in Slack. Understanding one deploy means opening all four and reading for an hour.
So engineers interrupt each other, or guess, and the same incident gets debugged twice.
Technical context is split across repos, tickets, wikis, and chat.
Reconstructing an incident means reading four tools.
The reasoning behind a change is lost with the author.
No query syntax, no digging through tabs. The ask is stated the way a person would say it.
An incident needs a post-hoc narrative
A cited timeline from change to resolution
The incident owner validates before sharingA deploy or PR needs context
The change, its reasoning, and its fallout, cited
The engineer confirms the readingFindings should be recorded on the ticket
A prepared update for review
The engineer approves before it is postedEvery answer reflects how the product actually behaves, never generalised.
GitHub for repos and pull requests, Jira for issues, Confluence for runbooks and specs, and Slack for incident discussion, together, with citations.
Yes. It reconstructs the technical narrative (the PR, the incident, the decision), citing each source so an engineer can verify it.
Search is read-only. Where a Jira update would help, it prepares one for review and posts it only after an engineer approves.
We will show how Linkence finds the relevant context, presents the work and keeps every sensitive change under your team's control.
Representative data is enough for the first demo. No production access required.