Doorman11991/smallcode JavaScript
🌐 smallcode
AI coding agent optimized for small LLMs. 87% benchmark with 4B-active model.
🌐 针对小型LLM优化的AI编码代理。使用4B-active模型进行87%基准测试。
Why It Is Worth Watching
From the perspective of project description, tags, and public data, Doorman11991/smallcode is worth looking at first. It solves problems around the needs of AI applications, agents, or large model toolchains, mainly using JavaScript. The most direct message in the project description is: "AI coding agent optimized for small LLMs. 87% benchmark with 4B-active model.". I will put it in the observation list not because of the Star number itself, but because of its intersection with the recent popularity: about 26 Stars were added in the recent day, recently updated on 2026-05-31, 1,685 Stars and 128 Fork brought about the accumulation of attention; the most recent code update was on 2026-05-31, this statistic added about 26 Stars relative to the historical benchmark. If it can continue to grow in the next few days, at the same time, Issue, PR, and submission records are also relatively active, indicating that it may not only be forwarded for a short time, but actually stepped on the recent needs of developers. It is more suitable for AI product developers, independent developers, and large model landing teams, especially those who are doing technology selection, looking for alternatives, observing new directions, or want to quickly determine whether a certain type of tool is worth investing time in. When it really comes to landing, I recommend looking at four things first: README's
📈 Trend History (12 points)
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