Linux 7.3 Network Changes Merged But Developers "Completely Overwhelmed" Due To AI/LLMs
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Linux 7.3's networking pull request merged over 1,280 combined net and net-next patches, with kernel networking maintainer Jakub Kicinski noting that a third to half of net-next patches appear to be AI-driven low priority fixes and cleanups, leaving maintainers overwhelmed. Meta has provided sufficient LLM budget to run multi-model reviews on each patch to catch hallucinations, and maintainers plan to shift more busy work (patchwork management, commit message editing, applying already-reviewed patches) to LLMs going forward. On the technical side, Linux 7.3 networking brings BIG TCP support for UDP tunnels in VXLAN/Geneve, improved MPTCP handling under memory pressure, initial CXL support for AMD/Solarflare NICs, a new Intel iXD driver skeleton, AMD Pensando NIC firmware flashing, and several new WiFi drivers including NXPWIFI and Morse Micro's mm81x.
Questions this post answers
What networking features are included in the Linux 7.3 kernel merge window?
Linux 7.3 networking adds BIG TCP support for UDP tunnels in VXLAN and Geneve drivers, improved MPTCP handling under extreme memory pressure, initial CXL support for AMD/Solarflare NICs, a new Intel iXD driver skeleton for Intel E2100 IPUs, AMD Pensando NIC firmware flashing, and new WiFi drivers including NXPWIFI and Morse Micro's mm81x for Long-Range S1G devices. Track kernel release changes like Linux 7.3 networking updates as they land on daily.dev.
Why are Linux kernel networking maintainers overwhelmed by AI-generated patches?
Kernel networking maintainer Jakub Kicinski reported that roughly a third to half of net-next patches merged for Linux 7.3 appear to be AI-driven low priority fixes, cleanups, and clarifications, on top of 632 net and 648 net-next patches total. The volume has left maintainers Kicinski and Paolo completely overwhelmed, prompting them to secure LLM budget from Meta to run multi-model reviews on each incoming patch. Developers watching how open source maintainers adapt workflows to AI patch volume can follow it on daily.dev.
How are Linux kernel maintainers planning to use AI to manage patch review workload?
Maintainers plan to shift focus from just reviewing AI-generated patches to letting large language models handle busy work directly: managing patchwork, automating common process complaints, editing commit messages, and potentially applying patches that already carry trusted reviewed-by tags. Meta is funding the LLM token budget used to run multiple frontier models against each patch to reduce hallucinations. Anyone curious how open source maintainers offload review busywork to LLMs can follow the story on daily.dev.