Software issue and ticket history

Tickets, epics, comments, status changes and links from Jira, Linear, GitHub Issues, Azure DevOps and similar tools.

Code and agentsUpdated
SpecificationWhat buyers and sellers agree on
Measured in
Issues, projects, years of history and percentage linked to code changes.
Who buys
Coding agent builders, project management AI vendors and labs.
Where it comes from
Software companies and product teams, including closed startups.
Rights to clear
Tool vendor terms, client confidentiality where tickets reference client work.
Privacy
Customer names and emails, screenshots and logs in attachments, internal URLs and credentials.
Pricing signal
Usually priced with linked code or workspace data.
In short
  • Issue trackers record how teams plan, triage and fix work, which coding and project agents need to learn.
  • Issues linked to the commits and pull requests that resolved them are the most valuable form.
  • Customer names, internal URLs and credentials pasted into tickets must be removed.
  • Issue history is usually sold alongside source code or workspace data rather than on its own.

Why issue history matters

A bug report, its discussion, the fix and the test that proved it form a complete lesson in software engineering. Coding agents that are trained on resolved issues learn to read a vague report, reproduce a problem and propose a fix.

Preparing it

Export issues with full history and comments, keep links to commits and pull requests, and remove attachments unless they are reviewed. Scrub customer identifiers and secrets, which are often pasted into tickets during incidents. See source code datasets for the matching code export.

Questions

Is issue history worth anything without the code?

Some, for project and planning agents, but most of the value comes from linking issues to the code changes that resolved them.

Related guides

Sources

  1. MIT Technology Review: AI labs are buying data from dead startups to train models (October 2026)

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