\u8ba9\u5927\u6a21\u578b\u5f53 Reviewer，\u7b2c\u4e00\u5370\u8c61\u90fd\u4e0d\u9519\u3002\u5b83\u771f\u80fd\u6311\u51fa\u7a7a\u6307\u9488\u3001\u8d44\u6e90\u6cc4\u6f0f\u8fd9\u7c7b\u95ee\u9898\u3002\u4f46\u8dd1\u4e0a\u51e0\u5929，\u5de5\u7a0b\u5e08\u5f00\u59cb\u65e0\u89c6\u5b83\u7684\u8bc4\u8bba\u3002<\/p>\n
\u539f\u56e0\u5f88\u7b80\u5355：\u8bef\u62a5\u592a\u591a\u3002\u628a\u6b63\u5e38\u4ee3\u7801\u5224\u6210 bug，\u628a\u98ce\u683c\u504f\u597d\u8bf4\u6210\u7f3a\u9677\u3002\u4fe1\u4efb\u4e00\u65e6\u8017\u5c3d，\u518d\u597d\u7684\u5efa\u8bae\u4e5f\u88ab\u6298\u53e0\u3002<\/p>\n
AI \u5ba1\u67e5\u7684\u4ef7\u503c，\u4e0d\u5728\u53d1\u73b0\u591a\u5c11，\u800c\u5728"\u503c\u5f97\u770b\u591a\u5c11"\u3002\u8bef\u62a5\u6cbb\u7406，\u662f\u51b3\u5b9a\u5b83\u751f\u6b7b\u7684\u73af\u8282\u3002<\/p>\n
\u672c\u6587\u63a2\u8ba8\u5982\u4f55\u964d\u4f4e LLM \u5ba1\u67e5\u7684\u8bef\u62a5\u7387\u3002\u8ba9\u5b83\u4ece"\u8bdd\u75e8"\u53d8\u6210"\u9760\u8c31\u540c\u4e8b"\u3002<\/p>\n
\u8bef\u62a5\u4e3b\u8981\u6765\u81ea\u4e09\u7c7b\u504f\u5dee\u3002<\/p>\n
\u4e00\u662f\u4e0a\u4e0b\u6587\u7f3a\u5931\u3002\u6a21\u578b\u6ca1\u770b\u5230\u5b8c\u6574\u8c03\u7528\u94fe，\u8bef\u5224\u4e3a\u672a\u4f7f\u7528\u53d8\u91cf\u3002\u4e8c\u662f\u89c4\u5219\u9519\u4f4d\u3002\u628a\u9879\u76ee\u5141\u8bb8\u7684\u5199\u6cd5\u5f53\u6210\u53cd\u6a21\u5f0f\u3002\u4e09\u662f\u8fc7\u5ea6\u81ea\u4fe1\u3002\u5bf9\u4e0d\u786e\u5b9a\u9879\u4e5f\u7ed9\u51fa\u786e\u5b9a\u7ed3\u8bba\u3002<\/p>\n
\u6291\u5236\u7684\u6838\u5fc3，\u662f"\u7ed9\u6a21\u578b\u8db3\u591f\u7684\u4e0a\u4e0b\u6587"\u52a0"\u9650\u5b9a\u5b83\u7684\u65ad\u8a00"\u3002\u53ea\u8ba9\u5b83\u5bf9\u53ef\u9a8c\u8bc1\u7684\u9879\u4e0b\u7ed3\u8bba，\u5176\u4f59\u6807\u6ce8"\u5efa\u8bae"\u3002<\/p>\n
\u4e0b\u9762\u662f\u5ba1\u67e5\u6d41\u7a0b\u7684\u8fc7\u6ee4\u8bbe\u8ba1：<\/p>\n
flowchart TD
\n A[\u62c9\u53d6\u53d8\u66f4 diff] –> B[\u62fc\u63a5\u6587\u4ef6\u7ea7\u4e0a\u4e0b\u6587]
\n B –> C[LLM \u751f\u6210\u5ba1\u67e5\u610f\u89c1]
\n C –> D{\u8bc1\u636e\u53ef\u673a\u5668\u9a8c\u8bc1?}
\n D –>|\u662f| E[\u6807\u8bb0\u4e3a"\u786e\u5b9a\u6027\u7f3a\u9677"]
\n D –>|\u5426| F[\u6807\u8bb0\u4e3a"\u5efa\u8bae"\u5e76\u964d\u6743]
\n E –> G[\u81ea\u52a8\u7f6e\u4e3a\u9700\u5904\u7406]
\n F –> H[\u4ec5\u8bc4\u8bba\u4e0d\u963b\u585e]
\n style E fill:#ffebee
\n style F fill:#fff3e0<\/p>\n
\u5173\u952e\u5728"\u53ef\u9a8c\u8bc1"\u5206\u6d41\u3002\u80fd\u8dd1\u9759\u6001\u68c0\u67e5\u8bc1\u5b9e\u7684，\u624d\u8fdb\u963b\u585e\u961f\u5217\u3002\u5176\u4f59\u964d\u7ea7\u4e3a\u5efa\u8bae，\u4e0d\u6d88\u8017\u5de5\u7a0b\u5e08\u7684\u4fe1\u4efb\u989d\u5ea6\u3002<\/p>\n
\u4e0b\u9762\u7528\u4ee3\u7801\u63cf\u8ff0\u8bef\u62a5\u8fc7\u6ee4\u7684\u9aa8\u67b6\u3002<\/p>\n
from dataclasses import dataclass
\nfrom enum import Enum
\nfrom typing import Callable<\/p>\n
class Severity(Enum):
\n DEFECT = "defect" # \u786e\u5b9a\u6027\u7f3a\u9677，\u963b\u585e
\n ADVICE = "advice" # \u5efa\u8bae，\u4e0d\u963b\u585e<\/p>\n
@dataclass
\nclass ReviewComment:
\n file: str
\n line: int
\n text: str
\n severity: Severity
\n verifier: Callable[[str], bool] = lambda _: False<\/p>\n
def classify(comments: list[ReviewComment]) -> list[ReviewComment]:
\n """\u7528\u53ef\u9a8c\u8bc1\u6027\u5206\u6d41，\u964d\u4f4e\u8bef\u62a5\u5bf9\u4fe1\u4efb\u7684\u6d88\u8017"""
\n for c in comments:
\n if c.verifier(c.file):
\n c.severity = Severity.DEFECT
\n else:
\n c.severity = Severity.ADVICE
\n return comments<\/p>\n
def run_review(diff: str) -> list[ReviewComment]:
\n # \u771f\u5b9e\u573a\u666f\u8c03\u7528 LLM，\u6b64\u5904\u63cf\u8ff0\u7ed3\u6784
\n raw = _call_llm(diff)
\n comments = [_to_comment(r) for r in raw]
\n return classify(comments)<\/p>\n
def _call_llm(diff: str) -> list[dict]:
\n # \u5360\u4f4d：\u8fd4\u56de\u6a21\u578b\u539f\u59cb\u610f\u89c1
\n return []<\/p>\n
def _to_comment(r: dict) -> ReviewComment:
\n return ReviewComment(
\n file=r["file"],
\n line=r["line"],
\n text=r["text"],
\n severity=Severity.ADVICE,
\n )<\/p>\n
if __name__ == "__main__":
\n out = run_review("diff –git …")
\n blockers = [c for c in out if c.severity == Severity.DEFECT]
\n print(f"\u9700\u5904\u7406\u7f3a\u9677 {len(blockers)} \u6761")<\/p>\n
\u771f\u5b9e\u7cfb\u7edf\u4f1a\u7ef4\u62a4"\u8bef\u62a5\u53cd\u9988\u5e93"\u3002\u5de5\u7a0b\u5e08\u6807\u8bb0\u8bef\u62a5\u540e，\u56de\u704c\u4e3a\u5c11\u6837\u672c\u793a\u4f8b\u3002\u4e0b\u6b21\u540c\u7c7b\u5224\u65ad\u66f4\u8c28\u614e，\u5f62\u6210\u6301\u7eed\u7ea0\u504f\u3002<\/p>\n
\u8bef\u62a5\u6cbb\u7406\u6709\u6536\u76ca，\u4e5f\u6709\u4ee3\u4ef7\u3002<\/p>\n
\u6f0f\u62a5\u6bd4\u8bef\u62a5\u66f4\u5371\u9669\u3002\u4e3a\u964d\u8bef\u62a5\u800c\u653e\u5bbd，\u53ef\u80fd\u653e\u8fc7\u771f bug\u3002\u5206\u6d41\u65f6\u5e94\u9ed8\u8ba4"\u4e0d\u786e\u5b9a\u5373\u5efa\u8bae"，\u800c\u975e\u76f4\u63a5\u4e22\u5f03\u3002\u5b89\u5168\u8fb9\u9645\u6c38\u8fdc\u7559\u7ed9\u786e\u5b9a\u6027\u7f3a\u9677\u3002<\/p>\n
\u4e0a\u4e0b\u6587\u6210\u672c\u3002\u7ed9\u8db3\u4e0a\u4e0b\u6587\u80fd\u964d\u8bef\u62a5，\u4f46\u8d39 token\u3002\u5e94\u6309\u6587\u4ef6\u76f8\u5173\u6027\u88c1\u526a，\u53ea\u9644\u76f4\u63a5\u76f8\u5173\u7684\u5b9a\u4e49\u3002\u5168\u91cf\u585e\u5165\u65e2\u8d35\u53c8\u7a00\u91ca\u6ce8\u610f\u529b\u3002<\/p>\n
\u6a21\u578b\u6f02\u79fb\u3002\u540c\u4e00\u6a21\u578b\u7248\u672c\u5347\u7ea7\u540e，\u8bef\u62a5\u6a21\u5f0f\u4f1a\u53d8\u3002\u9700\u5b9a\u671f\u7528\u6807\u6ce8\u96c6\u56de\u5f52，\u76d1\u63a7\u8bef\u62a5\u7387\u66f2\u7ebf\u3002<\/p>\n
\u4eba\u5ba1\u4e0d\u53ef\u7701\u3002AI \u5ba1\u67e5\u662f\u8f85\u52a9，\u4e0d\u662f\u7ec8\u5ba1\u3002\u5173\u952e\u8def\u5f84\u7684\u53d8\u66f4\u4ecd\u8981\u4eba\u5de5\u515c\u5e95，\u907f\u514d\u76f2\u4fe1\u3002<\/p>\n
\u5ba1\u67e5\u8303\u56f4\u7684"\u5206\u5c42"\u80fd\u8fdb\u4e00\u6b65\u964d\u566a\u3002\u4e0d\u662f\u6240\u6709\u4ee3\u7801\u90fd\u503c\u5f97 AI \u7ec6\u770b：\u81ea\u52a8\u751f\u6210\u4ee3\u7801\u3001\u9501\u6587\u4ef6\u3001\u8fc1\u79fb\u811a\u672c\u5e94\u9ed8\u8ba4\u8df3\u8fc7，\u628a\u7b97\u529b\u7559\u7ed9\u4e1a\u52a1\u903b\u8f91\u3002\u5efa\u8bae\u6309\u8def\u5f84\u4e0e\u6587\u4ef6\u7c7b\u578b\u914d\u7f6e\u5ba1\u67e5\u767d\u540d\u5355，\u907f\u514d\u6a21\u578b\u5728\u65e0\u5173\u6587\u4ef6\u4e0a\u6d6a\u8d39 token \u4e5f\u5236\u9020\u8bef\u62a5\u3002\u53e6\u4e00\u4e2a\u5b9e\u8df5\u662f"\u589e\u91cf\u5ba1\u67e5"：\u53ea\u5ba1\u67e5\u672c\u6b21 diff，\u4e0d\u626b\u5168\u4ed3，\u65e2\u5feb\u53c8\u805a\u7126\u3002\u6700\u540e，AI \u5ba1\u67e5\u7684\u610f\u89c1\u8981\u6709"\u53ef\u64cd\u4f5c\u6027"，\u6bcf\u6761\u90fd\u5e94\u6307\u5411\u5177\u4f53\u884c\u4e0e\u4fee\u6539\u5efa\u8bae，\u800c\u975e\u6cdb\u6cdb\u800c\u8c08"\u5efa\u8bae\u4f18\u5316"，\u5426\u5219\u5de5\u7a0b\u5e08\u4ecd\u8981\u81ea\u5df1\u5b9a\u4f4d，\u7701\u4e0b\u7684\u65f6\u95f4\u53c8\u8fd8\u56de\u53bb\u4e86\u3002<\/p>\n
LLM \u4ee3\u7801\u5ba1\u67e5\u80fd\u5426\u843d\u5730，\u5173\u952e\u5728\u8bef\u62a5\u6cbb\u7406\u3002\u673a\u5236\u4e0a\u7528"\u53ef\u9a8c\u8bc1\u6027"\u5206\u6d41，\u786e\u5b9a\u6027\u7f3a\u9677\u963b\u585e\u3001\u5efa\u8bae\u964d\u7ea7\u3002\u5de5\u7a0b\u4e0a\u9760\u8bef\u62a5\u53cd\u9988\u5e93\u6301\u7eed\u7ea0\u504f\u3002<\/p>\n
\u843d\u5730\u8def\u7ebf：\u5148\u62fc\u63a5\u6587\u4ef6\u7ea7\u4e0a\u4e0b\u6587；\u518d\u8ba9\u6a21\u578b\u53ea\u65ad\u8a00\u53ef\u9a8c\u8bc1\u9879；\u7528 verifier \u5206\u6d41\u4e25\u91cd\u5ea6；\u6700\u540e\u5efa\u8bef\u62a5\u56de\u704c\u95ed\u73af\u3002AI Reviewer \u7684\u53e3\u7891，\u662f\u7528"\u5c11\u800c\u51c6"\u6362\u6765\u7684\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
LLM \u4ee3\u7801\u5ba1\u67e5\u7684\u8bef\u62a5\u6cbb\u7406：\u8ba9 AI Reviewer \u771f\u6b63\u53ef\u7528
\n\u4e00\u3001AI \u5ba1\u67e5\u7684\u4fe1\u4efb\u5371\u673a
\n\u8ba9\u5927\u6a21\u578b\u5f53 Reviewer，\u7b2c\u4e00\u5370\u8c61\u90fd\u4e0d\u9519\u3002\u5b83\u771f\u80fd\u6311\u51fa\u7a7a\u6307\u9488\u3001\u8d44\u6e90\u6cc4\u6f0f\u8fd9\u7c7b\u95ee\u9898\u3002\u4f46\u8dd1\u4e0a\u51e0\u5929，\u5de5\u7a0b\u5e08\u5f00\u59cb\u65e0\u89c6\u5b83\u7684\u8bc4\u8bba\u3002
\n\u539f\u56e0\u5f88\u7b80\u5355：\u8bef\u62a5\u592a\u591a\u3002\u628a\u6b63\u5e38\u4ee3\u7801\u5224\u6210 bug，\u628a\u98ce\u683c\u504f\u597d\u8bf4\u6210\u7f3a\u9677\u3002\u4fe1\u4efb\u4e00\u65e6\u8017\u5c3d，\u518d\u597d\u7684\u5efa\u8bae\u4e5f\u88ab\u6298\u53e0\u3002
\nAI \u5ba1\u67e5\u7684\u4ef7\u503c，\u4e0d\u5728\u53d1\u73b0\u591a\u5c11，\u800c\u5728\\”\u503c\u5f97\u770b\u591a\u5c11\\”\u3002\u8bef<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[50],"topic":[],"class_list":["post-92282","post","type-post","status-publish","format-standard","hentry","category-server","tag-50"],"yoast_head":"\n