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I am creator and maintainer of several Rust projects:
https://github.com/chaosprint/glicol
https://github.com/chaosprint/asak
For LLM, even the latest Gemini 2.5 Pro and Claude 3.7 Thinking, it is difficult to give a code that can be compiled at once.
I think the main challenges are:
1. Their training material is relatively lagging. Most Rust projects are not 1.0, and the API is constantly changing, which is also the source of most compilation errors.
2. Trying to do too much at one time increases the probability of errors.
3. The agent does not follow people's work habits very well, go to docs.rs to read the latest documents and look at examples. After making mistakes, search for network resources such as GitHub.
Maybe this is where cursor rules and mcp can work hard. But at present, it is far behind.
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I am creator and maintainer of several Rust projects:
https://github.com/chaosprint/glicol
https://github.com/chaosprint/asak
For LLM, even the latest Gemini 2.5 Pro and Claude 3.7 Thinking, it is difficult to give a code that can be compiled at once.
I think the main challenges are:
1. Their training material is relatively lagging. Most Rust projects are not 1.0, and the API is constantly changing, which is also the source of most compilation errors.
2. Trying to do too much at one time increases the probability of errors.
3. The agent does not follow people's work habits very well, go to docs.rs to read the latest documents and look at examples. After making mistakes, search for network resources such as GitHub.
Maybe this is where cursor rules and mcp can work hard. But at present, it is far behind.
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Gemini 2.5 pro is far ahead of even Claude
Chart:
https://raw.githubusercontent.com/KCORES/kcores-llm-arena/re...
Description of the challenges:
https://github.com/KCORES/kcores-llm-arena