Article 77R6R GitHub has Issues as repo downloads hit 50% error rate

GitHub has Issues as repo downloads hit 50% error rate

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from www.theregister.com - Articles on (#77R6R)
Story ImageMicrosoft's GitHub source shack is reporting a 50 percent error rate on repository content downloads. GitHub Copilot is also "experiencing degraded availability." The problems began at 1340 UTC, when the company's status page reported "impacted performance for some GitHub services." This rapidly escalated to degraded performance across numerous services, including Issues - which was, appropriately enough, experiencing an issue of its own. GitHub is investigating and has promised an update, but today's incident is only the latest in a string of disruptions that have left developer nerves frayed. Earlier in August, GitHub's Actions automation platform and Pages hosting service experienced problems. In its May 2026 availability report, the company acknowledged that AI-assisted coding and agentic workflows were adding to the strain. GitHub parent Microsoft boasted last year that AI was writing as much as 30 percent of the code in some of its repositories, subject to human review, according to CEO Satya Nadella. Addressing GitHub's repeated outages in June, software engineering SVP Jakub Oleksy said structural changes were afoot to "permanently remove failure modes." "We acknowledge that we have work to do, but we're committed to getting it done and making GitHub reliable when and where you need it." Brave words, but today's disruption demonstrates that there is still plenty of work to do - and each recurrence further tests developer confidence in the service. Unsurprisingly, developers took to social media to vent their frustration as Monday Mondayed even harder thanks to the issues. One posted, "Github down again, abou[t] as surprising as the sun rising." Another was more plaintive: "Github is really falling apart. Can we stop being down please... We got work to do." The cause remains unknown, but GitHub's disruptions are stacking up, leaving developers to count the idle hours and consider alternatives. "Maybe," pondered one developer, "the AI code submissions are too massive for them servers." Maybe they are. (R)
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