Story
Rars: a Rust RAR implementation, mostly written by LLMs
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Overview
A RAR compressor for every version of RAR was developed using OpenAI Codex 5.5 and Claude Opus 4.7 in approximately five weeks, costing around £40 in tokens. The resulting code consists of 55,000 lines and is not optimized for speed.
Summary from bitplane.net.
Reports
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Community reactions
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Hacker News · bitplane.net
Historical count: 5 · 5 saved in sample · Historical sample
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Read this discussion’s reaction
Based on 5 sampled comments from this thread. Analyzed 2026-05-14.
- Praise: The project represents an ambitious use of AI in software development, showcasing the potential for LLMs to assist in creating functional tools.
- Praise: The open-source nature of the implementation allows for community-driven improvements and transparency in the development process.
- Concern: Concerns about copyright and the legality of using machine-generated code highlight significant ethical implications in AI-generated software.
- Concern: The implementation is criticized for being slow and of lower quality compared to established tools like WinRAR, raising doubts about its practical utility.
- Concern: There is skepticism about the accuracy and correctness of the generated code, which could undermine trust in AI-assisted development.