The Halytskyi District Court of Lviv found a minibus driver guilty of a customs violation after inspectors discovered over 3,300 units of sweets during an inspection.
Clashes between demonstrators and law enforcement took place in Paris and other French cities on 31 October, during which security forces sustained burn injuries.
On 1 November, Bulgaria holds the decisive vote in the presidential election, where Iliana Yotova and Andrey Gyurov are competing.
AI agents are generating an increasing amount of code on GitHub. Over the year, the number of changes grew sixfold, and the platform expanded its infrastructure by 4 million processor cores.
On 1 November, a traditional joint prayer will be held at Lychakiv Cemetery for those who died in the Ukrainian-Polish confrontation of 1918–1919.
Ukrainian model and former Khlivniuk girlfriend Natalia Gotsiy appeared in Baku with Roman Abramovich
Six people were injured as a result of enemy strikes on the Sumy and Konotop communities. Rescue services extinguished fires and inspected the affected areas.
Head of Donetsk Regional Military Administration reported that on 31 October, Russian forces killed one civilian and injured eight other residents of the region.
GitHub is increasing server capacity due to the rapid growth in the volume of AI-generated code
The GitHub platform has faced a significant increase in load due to the widespread use of artificial intelligence for writing program code. To cope with the growth in activity, the company had to expand its computing resources by four million processor cores and add 160 petabytes of storage.
The main factor behind this load has been the proliferation of AI agents, which can independently generate code, create changes, and submit them for review by developers.
According to the data provided, the number of code changes on the platform grew sixfold over the year. In September alone, their number reached 7.4 billion.
Artificial intelligence is also gradually becoming one of the key sources of software code. Over 40% of requests to add changes to GitHub repositories are reportedly already generated by neural networks.
The growth in the number of automatically created changes requires not only additional server resources but also a review of infrastructure operating principles. GitHub had to scale its computing power, increase data storage capacity, and adapt its server systems to the new level of load.
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