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Domestic gold prices opened the week with declines across both jewelry and bullion compared with last week’s close, as global gold prices fell after stronger-than-expected US payroll data increased expectations that the Federal Reserve will keep interest rates higher for longer. Domestic bullion and jewelry prices at 8:45 a.m. (April…
Coders are being laid off even as GitHub’s activity continues to expand rapidly, creating what some describe as a paradox of the AI era. The platform’s latest figures show commit volumes rising at an unprecedented pace: GitHub logged about 1 billion commits in 2025, and by early 2026 the weekly commit count had jumped to roughly 275 million commits per week. If the current pace holds, total commits for 2026 could reach 14 billion, far above the previous year.
The growth is visible not only in raw commit counts but also in GitHub Actions, the automation platform used to run software development workflows. GitHub reported that weekly run time rose from around 500 million minutes in 2023 to 1 billion minutes in 2025, and now stands at about 2.1 billion minutes in a single week.
To handle the rising workloads, GitHub says it must keep expanding infrastructure, adding processing capacity, and upgrading core services to maintain stable operation.
GitHub’s data suggests the increase in commits is not primarily explained by a sharp rise in the number of developers. Instead, a key factor is the growing role of artificial intelligence tools. AI systems and programming agents can write code automatically, generate commits, and operate CI/CD pipelines nearly continuously.
As a result, code creation is no longer tied only to human productivity and can be scaled by machines. In practical terms, whereas earlier commit volumes often reflected direct programmer actions, a substantial portion of current commits may be produced by automated systems—helping explain why commit volumes can grow much faster than the workforce.
This shift points to a broader change in how software is produced. AI is increasingly involved across the development lifecycle, from writing and testing code to deployment.
At the same time, the trend raises concerns. As code volume expands extremely quickly, controlling quality, stability, and security may become more complex. Greater reliance on automated systems could also change the role of programmers in the software development process.
In the short term, GitHub is continuing to expand capacity to meet demand from both users and AI-driven development workflows. Over the longer term, the surge in machine-generated code could prompt the software industry to reassess how productivity, quality, and the value of a line of code are measured.
Premium gym chains are entering a “golden era” that is ending or already in decline, as rising operating costs collide with shifting consumer preferences toward more flexible, community-based ways to exercise. Long-term memberships are shrinking, margins are pressured by higher rents and facility expenses, and competition from smaller, more personalized…
