The Math Changed: Rewriting Stale Open Source in the AI Era
The article discusses the challenges faced by long-standing open source projects, particularly in the context of evolving technology and maintenance fatigue. It highlights how the introduction of AI has changed the dynamics of rewriting these projects, making it faster and more efficient. The author shares their experience of rewriting the CRIU project in Zig, expecting to complete it in months rather than years due to these advancements.
- ▪Rewriting established open source projects traditionally took years, but AI has significantly accelerated this process.
- ▪The author is rewriting the CRIU project in Zig, aiming for completion in months.
- ▪Long-lived open source projects often face structural issues as they age, leading to maintenance challenges.
Opening excerpt (first ~120 words) tap to expand
.background-rewriting-oss-in-the-ai-era { fill: #0F0925; } .dark { .background-rewriting-oss-in-the-ai-era { fill: #0F0925; } } .light { .background-rewriting-oss-in-the-ai-era { fill: #271857; } } By jimmy moore, Founding EngineerOn this page:──Reaching For The Obvious Tool──How Open Source Projects Go Stale──Just Write Your Own──How AI Changes The Math──Rewriting CRIU In Zig──How The Rewrite Works──How's It Going?TL;DR: Until recently, rewriting an established open source project could take years. With LLMs, that's changed. We're rewriting CRIU in Zig, and expect it to be complete in months, not years. Reaching For The Obvious Tool Anyone who's done home renovations knows there's a tool for every job.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Loophole Labs.
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