669: Harshing rsync's Vibe
The Linux Unplugged team dives into the firestorm surrounding rsync's recent update, where the project's original creator, Tridge, returned after an 18-year hiatus and began using AI assistants like Claude to triage security flaws and rewrite core code—only to trigger backlash over introduced regressions and accusations of 'AI slop.' The hosts dissect the real story: Tridge had been quietly auditing and fixing issues for months before AI co-authored commits, and the regressions were likely inevitable given the project’s 18-year-old codebase was being modernized for security. They argue the outrage is misplaced, especially when compared to the real wins—six CVEs patched, faster development, and broader community momentum. The episode then contrasts this with FlatHub’s new no-LLM policy and Zig’s hard ban on AI contributions, highlighting the tension between quality control and innovation. The hosts conclude that AI-assisted coding is now a reality, and the real challenge isn’t banning tools, but evolving how we review, maintain, and trust code—especially as AI becomes better than most beginners. The episode ends with a celebration of community-driven tools like Record Apps and OpenLogic, proving that even if AI helps build them, the value lies in their utility, not their origin. The core takeaway? The future of open source isn’t about whether AI is used—it’s about how we adapt our processes to handle it responsibly.
AI-assisted code isn’t inherently bad—rsync’s regressions were inevitable when modernizing 18-year-old C code for security, not a flaw of the tool.
The real issue isn’t AI use, but the lack of communication and QA around major changes in stable, widely-used tools like rsync.
Projects like Zig banning AI contributions may protect code quality but risk alienating learners and slowing innovation.
AI is now better than most beginners at writing functional code—this isn’t a future threat, it’s a current reality.
The best response to AI in open source isn’t bans, but transparency, better review processes, and clear disclosure of AI use.
…and 3 more takeaways available in PodZeus
The rsync AI Backlash Explained
“The real test of a fork is not can you freeze the code base? It's can you actually continue to maintain it and offer real things and have your own stability?”
FlatHub’s No-LLM Policy and the AI Dilemma
FlatHub introduces a strict no-LLM policy, banning AI-generated apps and descriptions. The hosts debate whether this is reasonable, noting it may stifle innovation in niche tools while targeting the worst cases of automated, low-effort submissions.
Zig’s Hard AI Ban: Education vs. Efficiency
“The bar that I want to hold software to is uncompromising perfection. You know? I don't want to be surprised by the absence of a bug.”
AI in the Linux Kernel: A Productivity Boom
AI-assisted tools like GitHub Copilot and Cloud Code are now driving a surge in Linux kernel fixes—especially in drivers and networking—proving AI can accelerate real, high-impact development.
The Future of Open Source: Adapt or Stagnate
“We're just going to discover all of these issues that we have never discovered before. And it's going to happen every single week for multiple projects.”
“The bar that I want to hold software to is uncompromising perfection. You know? I don't want to be surprised by the absence of a bug.”
“What I was going to say before is just, the real test of a fork is not can you freeze the code base? It's can you actually continue to maintain it and offer real things and have your own stability?”
“We're just going to discover all of these issues that we have never discovered before. And it's going to happen every single week for multiple projects.”
Hosts
rsync
product
tridg
person
zig
other
claude
other
flat hub
other
andrew kelly
person
nebula
product
github copilot
product
record apps
product
openlogic
product
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