The week behind a bug fix could become AI training data
Release notes preserve the answer. Connected engineering records can explain the investigation that made it possible.
A seemingly minor bug fix, described in a release note as "Fixed intermittent sync failure for enterprise customers," triggered a week-long investigation by support engineers and IT teams. The elusive cause lay in a shared timezone setting. A single line of code ultimately resolved the issue.
Companies offering qualifying products can license their operating records to AI training platforms for up to $4 million. However, eligibility, rights, data quality and buyer demand determine the actual offers.
The process begins with help desk captures of customer symptoms, issue tracking of hypotheses, code reviews explaining changes, and customer confirmation of successful fixes. The original SWE-bench research created 2,294 tasks from real GitHub issues and corresponding fixes, demonstrating how software history can serve as AI training data.
To qualify for data licensing, a company must have a peak workforce of 50 full-time employees, maintain several years of engineering history, and meet supported-location requirements. Israeli businesses must verify eligibility directly; Israel is not explicitly listed in the published location criteria.
SourceX, founded by Noah Loul, assists businesses in monetizing their proprietary data for AI training and development. The company aims to build the world's largest data infrastructure, powering current AI and future superintelligence. Before signing terms, businesses should review both the licensing agreement and internal data use policies.
Written by urgent.news from Jerusalem Post Tech & Start-Ups's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
