Qualcomm Engineer Questions Linux LTS Viability in the AI Era
At the Linux Plumbers Conference in Prague, Qualcomm engineer Khem Raj argued that traditional Linux Long Term Support (LTS) releases are struggling to keep up with AI-accelerated patch submissions. He proposed that rolling release models or AI-assisted backporting could better manage the influx of updates for maintainers and distributions. AI coding tools are drastically accelerating software development and bug detection, placing unprecedented maintenance pressure on open-source kernel projects. Rethinking the LTS model could reshape how Linux distributions, embedded hardware, and enterprise systems handle system stability, security updates, and software upgrades. While rolling releases eliminate backporting overhead and keep software closer to upstream code, Raj acknowledged that they complicate hardware qualification and regulatory certification. He suggested that rolling models may work best for embedded Linux distributions and smaller teams, or that generative AI tools could instead be used to automate LTS backporting.
## BACKGROUND
Linux distributions typically follow either a Long Term Support (LTS) model with fixed versions receiving backported security fixes over several years, or a rolling release model with continuous updates. Backporting involves porting bug fixes from newer codebases to older LTS releases, a time-consuming process that grows more difficult as patch volume increases.