GitHub has launched pull request limits, a repository-level control that lets open-source maintainers cap the volume of incoming pull requests. The feature targets a growing pain point as automated tools and AI coding assistants drive up PR counts in popular repositories. GitHub also outlines what is coming next on the roadmap for this feature.
GitHub, owned by Microsoft, is experiencing a significant AI capacity crunch as demand for AI-powered developer tools surges. In a notable move, Microsoft is supplementing its infrastructure with Amazon Web Services rather than relying solely on its own Azure cloud. The development underscores the scale of compute pressure driven by AI coding assistants and the difficulty even major cloud operators face keeping pace with rapidly growing AI workloads.
GitHub describes an improvement to secret scanning that uses context-aware LLM reasoning during verification, after candidate secrets are detected. Instead of sending whole files or repositories to a model, the system extracts focused usage signals, such as whether a value flows into authentication, API, database, or cloud SDK code. In tests on customer-confirmed false positives, GitHub reports a 75.76% reduction, above its 65% target, while preserving detection coverage.
GitHub reported a widespread service outage affecting core platform functionalities. The incident has disrupted repository access, CI/CD pipelines (GitHub Actions), and related developer APIs. GitHub's engineering team is actively investigating the root cause to restore services.