Thats something we're working on i.e most of our R&D goes here, we've been building up capacity on getting contextual data from the commits/PR's and possibly from slack too and then surfacing it as meta data as a first step. For example being able to identify questions, solutions, possible additions to documentation.
The aim is to eventually pass on that data or use it for smarter inference like catching duplicates, bug frequency, reintroduction of code and possibly identifying tech debt. Our vision has been to go ticketless, while we're supplying the tooling to make those tickets today, in the future contextual information from different systems could provide enough context to do that work.
The aim is to eventually pass on that data or use it for smarter inference like catching duplicates, bug frequency, reintroduction of code and possibly identifying tech debt. Our vision has been to go ticketless, while we're supplying the tooling to make those tickets today, in the future contextual information from different systems could provide enough context to do that work.