Comment by ponector

4 days ago

How can AI search into documentation, if the documentation is a thousands of obsolete and contradicting Jira tickets, few outdated Confluence pages with mail attachments and handful of excel files on SharePoint?

Supposedly there is a way to get an AI to do exactly this, we have it slated as an "intern project". Which feels ironic in itself. Using an intern to figure out how to get an AI to rectify our Jira and train on our confluence to help us and our users

Using AI to distill all of that sprawling and contradicting documentation is a great use case.

Grounding it in the reality of the current implementation for the extra cherry on top.

With the necessary MCP servers.

  • Good luck to receive security clearance for that. Even Cursor is not allowed, though everyone is using it with private account.

    • No, even if you got clearance... What's that gonna help with? The point was that the jira tickets are obsolete and likely contradict each other with changing requirements over time. More advanced tooling might be able to guess from looking at the git history and double-checking via linked tickets etc, but there is currently no tooling available that actually does this, today.

      And that's coming from someone that has repeatedly gone on record saying "my expectation for our industry is a gigantic contraction because of LLM", ...but this isn't a scenario that's plausible with current models.

    • Do you realize that's gross misconduct?

      You're sending the intellectual property of your employer to a third party without their consent. Hell, it's much worse as it sounds like they've explicitly told you not to.