GitHub has confirmed that a surge in coding activity, much of it driven by AI tools, caused "capacity failures" that led to a lengthy outage across several of its services on Monday. The company said a critical infrastructure component in its Central US data centre failed to scale as traffic hit a new peak, rather than the disruption being caused by a code or configuration change. The incident matters because GitHub underpins software development for millions of professional and hobbyist coders, and it signals that AI-driven coding growth is placing sustained strain on the platform's infrastructure.

GitHub said monthly commits have grown from 1.4 billion in April to 2.9 billion now, more than doubling in four months and leaving services inaccessible for over seven hours. In response, the company is reviewing CPU and memory alerts to spot components vulnerable to failure during peak traffic, and applying consistent retry limits, retry budgets and variable timeouts to prevent "retry storms and cascading load". However, with AI coding tools from firms such as Anthropic and OpenAI continuing to expand, the underlying trend behind the traffic spike shows little sign of abating.