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# 国产MarsCode AI编程助手不完全测评 | ||
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AI编程,最近正在风靡全球。作为开发人员,使用AI编程,可以更快、更高效地生成代码。除了Copilot、Cursor等国外产品外,国产AI也正在快速发展。 | ||
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本文对国产AI——豆包MarsCode AI做了一次不完全测评,希望能帮助大家更好地了解国产AI编程助手的特点和优势。 | ||
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### 安装MarsCode AI | ||
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使用MarsCode AI,先从[官网](https://www.marscode.cn/home?utm_source=content&utm_medium=liaoxuefeng&utm_campaign=article)免费注册并登录。MarsCode AI提供了三种使用方式:集成到VS Code,集成到JetBrain的IDE,以及直接在浏览器中使用云IDE。这里我们以VS Code为例,看看MarsCode AI的表现。 | ||
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在VS Code中安装MarsCode AI插件,只需要在插件市场中搜索`MarsCode`,点击安装,重启后在VS Code左侧面板找到MarsCode,设置语言为中文,登录后即可开始使用: | ||
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![ai-vscode](ai-vscode.png) | ||
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我们先来试试让MarsCode AI用Python写一个快速排序的代码: | ||
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![qsort-v1](qsort-v1.png) | ||
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这个快速排序内部生成了很多个list,效率不行。我们暂时不考虑优化,先让AI把测试写出来: | ||
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![qsort-test](qsort-test.png) | ||
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运行测试,从结果看是正确的。这个时候,我们可以让AI再优化一下代码。根据我们的提示,使用快速排序时,应该对数组进行就地交换元素,AI改写的代码最终如下: | ||
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![qsort-v2](qsort-v2.png) | ||
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对于常用的算法,完全可以让AI快速实现,并自动生成测试。 | ||
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![qiangdu](qiangdu.jpg) | ||
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AI在训练时使用了大量的开源代码,从理论上说,针对某种编程语言学习的代码越多,则编写能力应该越强,因此,网上大量针对AI编写代码都集中在JavaScript领域,不是没有道理的。 | ||
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这里我们就不测试编写JavaScript、CSS之类的Web网站,直接用操作系统内核代码来测试一下AI的编程能力。 | ||
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首先打开MIT的教学操作系统XV6的源码,让AI读一下`uartinit()`函数并解释: | ||
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![uart-explain](uart-explain.png) | ||
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从AI的解释看,我认为它应该学习过Linux内核的源码,否则很难准确解释串口通信的初始化过程。 | ||
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接着,可以让AI对函数进行注释: | ||
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![uart-doc](uart-doc.png) | ||
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![qiangdu-2](qiangdu-2.jpg) | ||
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接下来,针对ext2文件系统的驱动程序,我们让AI写一个读取ext2文件系统目录内容的函数,先定义函数如下: | ||
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```c | ||
// 打印ext2 4K block的目录项: | ||
static void print_dir(char *buffer) | ||
{ | ||
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} | ||
``` | ||
在编写代码的过程中,MarsCode AI会自动猜测并给出代码: | ||
![ai-code-gen](ai-code-gen.png) | ||
我们按Tab键即可接受AI给出的代码,这样就直接在VS Code中生成了完整的函数代码,当然,某些地方仍然需要微调: | ||
```c | ||
// 打印ext2 4K block的目录项: | ||
static void print_dir(char *buffer) | ||
{ | ||
ext2_dir_entry *entry = (ext2_dir_entry *)buffer; | ||
while (entry->inode != 0) | ||
{ | ||
printf("%s\n", entry->name); | ||
entry = (ext2_dir_entry *)((u8 *)entry + entry->rec_len); | ||
} | ||
} | ||
``` | ||
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上述代码有个严重的bug:在循环中,没有判断指针是否超出了4K的边界,因此,运行时会产生一个Segmentation fault错误。 | ||
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我们让AI先分析一下这个错误的原因: | ||
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![ai-code-analysis](ai-code-analysis.png) | ||
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选择`print_dir()`函数代码,输入`/fix`,让AI修复: | ||
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![ai-code-fix](ai-code-fix.png) | ||
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修复后的代码就可以正常运行了,不过,打印的目录名结尾有乱码: | ||
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```plain | ||
. | ||
.. | ||
lost+found | ||
bin?? | ||
docs?? | ||
resources | ||
src | ||
download?? | ||
``` | ||
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这是因为在ext2文件系统中,一个目录项存储的名称并不会以`\0`结束,而是在`name_len`字段中指定长度。我们仍然先尝试让AI修复: | ||
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![ai-code-fix-2](ai-code-fix-2.png) | ||
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AI给出的方案是创建一个`char[]`缓冲区,复制`entry->name`,然后手动添加一个`\0`。这个逻辑是对的,但是我们还需要手动调整一下,最终版本的代码如下: | ||
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```c | ||
// 打印ext2 4K block的目录项: | ||
static void print_dir(char *buffer) | ||
{ | ||
ext2_dir_entry *entry = (ext2_dir_entry *)buffer; | ||
char name_buffer[256]; | ||
while ((u8 *)entry < (buffer + BLOCK_SIZE_4K)) | ||
{ | ||
strncpy(name_buffer, entry->name, entry->name_len); | ||
name_buffer[entry->name_len] = '\0'; | ||
printf("%s\n", name_buffer); | ||
entry = (ext2_dir_entry *)((u8 *)entry + entry->rec_len); | ||
} | ||
} | ||
``` | ||
可见,用AI辅助编程,可以快速实现原型,快速跑出结果,有问题还可以继续修改,对有经验的开发者来说,可以极大地提升开发效率。 | ||
### 小结 | ||
现阶段AI辅助编程可以很好地充当一个编程助手,它可以帮助我们理清思路,快速给出示例代码,但不要指望小白能依靠AI从零开始来完成编程任务,因为我们需要审核AI给出的代码,很多时候有必要再做一些修改和优化。此外,要让AI尽可能正确地理解和修改代码,开发者本身要有一定的编程能力,否则,即使AI的能力再强,无法准确地描述问题和出错原因,AI也有心无力。 | ||
因此,使用AI辅助编程,对于有经验的开发者来说,是非常有帮助的。正确评估AI的编程能力,充分发挥它的速度和效率优势,才是正确的使用方法。 | ||
如果你想现在就体验用MarsCode AI辅助编程,可以点这里开始,目前完全免费: | ||
[https://www.marscode.cn](https://www.marscode.cn/home?utm_source=content&utm_medium=liaoxuefeng&utm_campaign=article) |
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