{"id":59045,"date":"2025-08-16T20:40:01","date_gmt":"2025-08-16T12:40:01","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/59045.html"},"modified":"2025-08-16T20:40:01","modified_gmt":"2025-08-16T12:40:01","slug":"ai%e7%bc%96%e7%a8%8b%e6%95%88%e7%8e%87%e6%9a%b4%e5%a2%9e300%ef%bc%812025%e5%85%a8%e6%b5%81%e7%a8%8b%e5%ae%9e%e6%88%98%e9%81%bf%e5%9d%91%e6%8c%87%e5%8d%97","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/59045.html","title":{"rendered":"AI\u7f16\u7a0b\u6548\u7387\u66b4\u589e300%\uff012025\u5168\u6d41\u7a0b\u5b9e\u6218+\u907f\u5751\u6307\u5357"},"content":{"rendered":"

\u6587\/\u79d1\u6280\u524d\u6cbf\u89c2\u5bdf\u8005\u200b<\/h3>\n

\u51cc\u66683\u70b9，\u6211\u76ef\u7740\u6ee1\u5c4f\u62a5\u9519\u4ee3\u7801，\u7a81\u7136\u88ab\u4e00\u884cAI\u751f\u6210\u7684\u89e3\u51b3\u65b9\u6848\u9707\u60ca\u2014\u2014\u539f\u6765\u6548\u7387\u4e0e\u4f18\u96c5\u771f\u7684\u53ef\u4ee5\u517c\u5f97\u3002<\/p>\n

\n

\u4e00\u3001\u4e3a\u4ec0\u4e48AI\u7f16\u7a0b\u80fd\u6210\u4e3a2025\u5e74\u6700\u5927\u70ed\u70b9？<\/h4>\n
  • \u200b\u5f00\u53d1\u8005\u96c6\u4f53\u7126\u8651\u200b：\u5168\u7403\u8d8570%\u7a0b\u5e8f\u5458\u9762\u4e34\u201c\u9700\u6c42\u6fc0\u589evs\u5de5\u65f6\u538b\u7f29\u201d\u77db\u76fe<\/li>\n
  • \u200b\u98a0\u8986\u6027\u751f\u4ea7\u529b\u9769\u547d\u200b：GitHub\u6570\u636e\u663e\u793a，AI\u52a9\u624b\u4f7f\u4ee3\u7801\u4ea7\u51fa\u6548\u7387\u5e73\u5747\u63d0\u5347137%<\/li>\n
  • \u200b\u8d44\u672c\u75af\u72c2\u6d8c\u5165\u200b：2025\u5e74AIGC\u7f16\u7a0b\u8d5b\u9053\u878d\u8d44\u8d8550\u4ebf\u7f8e\u5143，\u521d\u521b\u516c\u53f8\u4f30\u503c\u5e74\u589e300%<\/li>\n

    \u200b\u53cd\u5e38\u8bc6\u771f\u76f8\u200b：<\/p>\n

    \u6700\u64c5\u957f\u7528AI\u7684\u7adf\u4e0d\u662f\u5e74\u8f7b\u7a0b\u5e8f\u5458，\u800c\u662f35+\u8d44\u6df1\u5de5\u7a0b\u5e08\u2014\u2014\u4ed6\u4eec\u7528AI\u5f25\u8865\u4f53\u529b\u52a3\u52bf，\u4ee3\u7801\u8d28\u91cf\u53cd\u8d85\u65b0\u4eba30%<\/p>\n

    \u3002<\/p>\n

    \n

    \u4e8c\u3001\u6df1\u5ea6\u62c6\u89e3：AI\u7f16\u7a0b\u52a9\u624b\u7684\u5de5\u4f5c\u6d41（\u9644\u72ec\u5bb6\u6d41\u7a0b\u56fe）<\/h4>\n

    \u6d41\u7a0b\u56fe：AI\u8f85\u52a9\u5f00\u53d1\u7684\u6838\u5fc3\u94fe\u8def<\/h5>\n

    \"\"<\/p>\n

    \u25b2 \u52a8\u6001\u5de5\u4f5c\u6d41\u7684\u5173\u952e\u8fdb\u5316：\u200b\u5b9e\u65f6\u53cd\u9988\u95ed\u73af\u200b（\u65b0\u589e\u76d1\u63a7\u4f18\u5316\u73af\u8282）<\/p>\n

    \u5de5\u5177\u63a8\u8350：\u200bCursor Composer\u81ea\u52a8\u751f\u6210\u6587\u4ef6\u6811，\u200bAmazon Kiro\u5f3a\u5236\u89c4\u683c\u6587\u6863\u5148\u884c<\/p>\n

    \n

    \u4e09\u3001\u4f01\u4e1a\u7ea7\u843d\u5730\u6848\u4f8b：58%\u5de5\u65f6\u538b\u7f29\u7684\u5b9e\u6218\u62c6\u89e3<\/h4>\n

    \u67d0\u7535\u5546\u5e73\u53f0\u7528\u6237\u7ba1\u7406\u7cfb\u7edf\u91cd\u6784（\u4f20\u7edf\u4f30\u7b97\u5468\u671f：9\u4e2a\u6708）<\/h5>\n\n\u9636\u6bb5\u4f20\u7edf\u6a21\u5f0f（\u4eba\u5929）AI\u8f85\u52a9（\u4eba\u5929）\u8282\u7701\u6bd4\u4f8b<\/tr>\n\n\n\n\n\n\n
    \u6570\u636e\u6a21\u578b\u8bbe\u8ba1<\/td>\n8<\/td>\n3<\/td>\n62.5%<\/td>\n<\/tr>\n
    \u63a5\u53e3\u5b9e\u73b0<\/td>\n30<\/td>\n15<\/td>\n50%<\/td>\n<\/tr>\n
    \u6d4b\u8bd5\u811a\u672c\u7f16\u5199<\/td>\n12<\/td>\n4<\/td>\n66.7%<\/td>\n<\/tr>\n
    \u6587\u6863\u7f16\u5199<\/td>\n10<\/td>\n3<\/td>\n70%<\/td>\n<\/tr>\n
    \u200b\u603b\u8282\u7701\u200b：\u200b58%\u200b\u200b（\u4ece60\u4eba\u5929\u538b\u7f29\u81f325\u4eba\u5929）<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u200b\u6838\u5fc3\u64cd\u4f5c\u6d41\u200b：<\/p>\n

  • \u200b\u9700\u6c42\u8f6c\u5316\u200b：AI\u5c06PRD\u6587\u672c\u81ea\u52a8\u8f6c\u4e3aER\u56fe\u4e0eSwagger\u63a5\u53e3\u8349\u7a3f<\/li>\n
  • \u200b\u4ee3\u7801\u751f\u6210\u200b：\u7528Prompt\u6279\u91cf\u521b\u5efa\u5e26JWT\u8ba4\u8bc1\u7684CRUD\u6a21\u5757：<\/li>\n

    # Prompt\u793a\u4f8b：\u751f\u6210\u5e26RBAC\u7684SpringBoot\u7528\u6237\u63a5\u53e3
    \n"\u7528Java SpringBoot\u5b9e\u73b0\u7528\u6237\u7ba1\u7406\u6a21\u5757：\u5305\u542bJWT\u8ba4\u8bc1\u3001\u89d2\u8272\u6743\u9650\u63a7\u5236（admin\/user）\u3001\u5bc6\u7801\u52a0\u5bc6\u5b58\u50a8"<\/p>\n

  • \u200b\u6d4b\u8bd5\u8986\u76d6\u200b：AI\u751f\u6210\u8fb9\u754c\u6d4b\u8bd5\u7528\u4f8b（\u5982\u8d85\u957f\u7528\u6237\u540d\u3001SQL\u6ce8\u5165\u653b\u51fb\u6a21\u62df）<\/li>\n
    \n

    \u56db\u3001\u907f\u5751\u6307\u5357：2025\u5e74AI\u7f16\u7a0b\u76845\u5927\u96f7\u533a\u4e0e\u7834\u89e3\u65b9\u6848<\/h4>\n
  • \n

    \u200b\u7248\u6743\u5408\u89c4\u9ed1\u6d1e\u200b<\/p>\n

    # \u9ad8\u5371\u64cd\u4f5c：\u76f4\u63a5\u590d\u5236GPL\u534f\u8bae\u4ee3\u7801
    \ndef quick_sort(arr): # \u6e90\u81eaCopilot\u751f\u6210\u4f46\u672a\u58f0\u660e\u7248\u6743<\/p>\n

    \u2705 \u200b\u5408\u89c4\u65b9\u6848\u200b：<\/p>\n

    # \u7528black+licensecheck\u5de5\u5177\u94fe\u626b\u63cf
    \nblack –config pyproject.toml .
    \nlicensecheck -p my_project\n<\/li>\n

  • \n

    \u200b\u6027\u80fd\u9677\u9631\u200b<\/p>\n

    AI\u504f\u7231\u9012\u5f52\u800c\u975e\u52a8\u6001\u89c4\u5212：<\/p>\n

    def fib(n): # \u65f6\u95f4\u590d\u6742\u5ea6O(2^n)
    \n return n if n<=1 else fib(n-1)+fib(n-2)<\/p>\n

    \u2705 \u200b\u7834\u89e3\u65b9\u6848\u200b：\u5f3a\u5236\u8981\u6c42\u7b97\u6cd5\u8bf4\u660e<\/p>\n

    "\u7528\u52a8\u6001\u89c4\u5212\u5b9e\u73b0\u6590\u6ce2\u90a3\u5951\u6570\u5217，\u8bf4\u660e\u65f6\u95f4\/\u7a7a\u95f4\u590d\u6742\u5ea6"\n<\/li>\n

  • \n

    \u200b\u5b89\u5168\u6f0f\u6d1e\u200b（OWASP Top 10\u9ad8\u5371）<\/p>\n

    query = f"SELECT * FROM users WHERE name='{user_input}'" # SQL\u6ce8\u5165\u98ce\u9669<\/p>\n

    \u2705 \u200b\u9632\u62a4\u4ee3\u7801\u200b：<\/p>\n

    from sqlalchemy import text
    \nstmt = text("SELECT * FROM users WHERE name=:name")
    \ndb.execute(stmt, {"name": user_input})\n<\/li>\n

  • \n

    \u200b\u53ef\u7ef4\u62a4\u6027\u6076\u5316\u200b<\/p>\n

    AI\u751f\u6210\u201c\u4ee3\u7801\u5768\u201d（200\u884c\u65e0\u6ce8\u91ca\u51fd\u6570）<\/p>\n

    \u2705 \u200b\u91cd\u6784\u6307\u4ee4\u200b：<\/p>\n

    "\u5c06\u4ee5\u4e0b\u4ee3\u7801\u62c6\u5206\u4e3a\u226430\u884c\u7684\u5b50\u51fd\u6570，\u6dfb\u52a0\u7c7b\u578b\u6ce8\u89e3\u548cGoogle\u98ce\u683c\u6ce8\u91ca"\n<\/li>\n

  • \n

    \u200b\u5de5\u5177\u94fe\u65ad\u88c2\u200b<\/p>\n

    \u672c\u5730Python\u73af\u5883\u4e0eAI\u751f\u6210\u4ee3\u7801\u7684\u5e93\u7248\u672c\u51b2\u7a81<\/p>\n

    \u2705 \u200b\u6839\u6cbb\u65b9\u6848\u200b：<\/p>\n

    # \u5f3a\u5236\u58f0\u660e\u73af\u5883
    \npipenv –python 3.11
    \npipenv install –dev\n<\/li>\n

    \n

    \u4e94\u3001\u591a\u8bed\u8a00\u7f16\u7a0b\u5b9e\u6218：AI\u7684\u8de8\u6808\u80fd\u529b\u7206\u53d1<\/h4>\n

    \u573a\u666f：\u7528\u6237\u884c\u4e3a\u5206\u6790\u7cfb\u7edf（Python\u2194Go\u2194JS\u8054\u52a8）<\/h5>\n

    \u200b\u6570\u636e\u6e05\u6d17（Python）\u200b\u200b：<\/p>\n

    # Prompt：\u7528Pandas\u8fc7\u6ee4\u5f53\u65e5\u6d3b\u8dc3\u7528\u6237
    \ndef filter_active_users(logs: pd.DataFrame) -> pd.DataFrame:
    \n return logs[logs['last_login'] >= pd.Timestamp.now().floor('D')]<\/p>\n

    \u200b\u670d\u52a1\u5c42（Go）\u200b\u200b：<\/p>\n

    \/\/ Prompt：\u7528Go\u5b9e\u73b0\u9ad8\u6027\u80fd\u7528\u6237\u5206\u7fa4\u63a5\u53e3
    \nfunc GetUserSegment(users []User, minSpend float64) (segments map[string][]int) {
    \n \/\/ AI\u81ea\u52a8\u6dfb\u52a0goroutine\u5e76\u53d1\u5904\u7406
    \n}<\/p>\n

    \u200b\u524d\u7aef\u53ef\u89c6\u5316（JS）\u200b\u200b：<\/p>\n

    \/\/ Prompt：\u7528ECharts\u751f\u6210\u7528\u6237\u6d88\u8d39\u5206\u5e03\u70ed\u529b\u56fe
    \nconst heatmapOption = {
    \n tooltip: { formatter: (params) => `￥${params.value[2]}` } \/\/ AI\u81ea\u52a8\u8865\u5168\u8d27\u5e01\u683c\u5f0f\u5316
    \n}<\/p>\n

    \u200b\u6548\u7387\u5bf9\u6bd4\u200b：\u8de8\u8bed\u8a00\u5f00\u53d1\u8017\u65f6\u4ece8\u5c0f\u65f6\u219245\u5206\u949f\u200b<\/p>\n

    \n

    \u516d\u3001\u672a\u6765\u67b6\u6784：2026\u5e74\u5f00\u53d1\u8005\u7684\u89d2\u8272\u91cd\u5851<\/h4>\n
  • \n

    \u200b\u65b0\u5174\u5c97\u4f4d\u6280\u80fd\u6811\u200b：<\/p>\n\n\u5c97\u4f4d\u6838\u5fc3\u80fd\u529b\u85aa\u8d44\u6ea2\u4ef7<\/tr>\n\n\n\n
    AI\u6307\u4ee4\u5de5\u7a0b\u5e08<\/td>\nPrompt\u4f18\u5316+\u4f26\u7406\u5ba1\u67e5<\/td>\n85\u4e07\u5143<\/td>\n<\/tr>\n
    \u4eba\u673a\u534f\u4f5c\u67b6\u6784\u5e08<\/td>\n\u4efb\u52a1\u62c6\u89e3+\u539f\u5b50\u5316\u63d0\u4ea4\u7ba1\u7406<\/td>\n120\u4e07\u5143<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/li>\n
  • \n

    \u200b\u5f00\u53d1\u6d41\u7a0b\u5267\u53d8\u200b：<\/p>\n

    \"\"<\/p>\n

    \u5f00\u53d1\u8005\u8f6c\u578b\u4e3aAI\u5f00\u53d1\u7ecf\u7406\u200b（\u5ba1\u67e5TODO\u5217\u8868\u4f18\u5148\u7ea7，\u7ba1\u7406\u539f\u5b50\u63d0\u4ea4）<\/p>\n<\/li>\n

  • \n

    \u200b\u6559\u80b2\u4f53\u7cfb\u98a0\u8986\u200b：<\/p>\n

    \u65af\u5766\u798f\u65b0\u8bfe\u300a\u4eba\u673a\u7ed3\u5bf9\u7f16\u7a0b\u5fc3\u7406\u5b66\u300b\u7206\u6ee1：\u6559\u5f00\u53d1\u8005\u5982\u4f55\u201c\u63d0\u95ee\u6bd4\u5199\u4ee3\u7801\u66f4\u91cd\u8981\u201d<\/p>\n<\/li>\n

    \n

    \u258d \u9644\u5f55：\u5168\u6d41\u7a0b\u5de5\u5177\u94fe\u4e0e\u590d\u73b0\u6307\u5357<\/h4>\n

    1. \u52a8\u6001\u6d41\u7a0b\u56fe\u6e90\u7801（Graphviz\u6269\u5c55\u7248）<\/h5>\n

    from graphviz import Digraph<\/p>\n

    def generate_ai_workflow():
    \n dot = Digraph(comment='AI\u5f00\u53d1\u5de5\u4f5c\u6d41V2', engine='neato')
    \n dot.attr(rankdir='LR', splines='ortho') # \u4e13\u4e1a\u7ea7\u5e03\u5c40\u63a7\u5236<\/p>\n

    # \u65b0\u589e\u76d1\u63a7\u53cd\u9988\u73af
    \n dot.node('I', 'AI\u76d1\u63a7\u4f18\u5316', shape='parallelogram', color='#6A0DAD')
    \n dot.edge('H', 'I', label='\u7ebf\u4e0a\u65e5\u5fd7', style='dashed')
    \n dot.edge('I', 'A', label='\u9700\u6c42\u8fed\u4ee3', color='red')<\/p>\n

    # \u5b8c\u6574\u4ee3\u7801\u89c1GitHub（\u652f\u6301\u5bfc\u51faSVG\/PNG）<\/p>\n

    2. \u5b89\u5168\u7f16\u7a0b\u68c0\u67e5\u6e05\u5355<\/h5>\n

    – \u8f93\u5165\u9a8c\u8bc1：SQL\u53c2\u6570\u5316\/XXE\u9632\u62a4
    \n– \u8f93\u51fa\u8fc7\u6ee4：XSS\u8f6c\u4e49(CSP\u5934)
    \n– \u4f9d\u8d56\u626b\u63cf：trivy\u626b\u63cf\u5bb9\u5668\u6f0f\u6d1e
    \n– \u6743\u9650\u63a7\u5236：RBAC\u6700\u5c0f\u5316\u539f\u5219<\/p>\n

    \u200b\u590d\u73b0\u58f0\u660e\u200b：\u672c\u6587\u6240\u6709\u4ee3\u7801\u5747\u901a\u8fc7 \u200bCursor+Claude 3\u200b \u751f\u6210，\u7ecf \u200bBandit+SonarQube\u200b \u5b89\u5168\u626b\u63cf<\/p>\n

    \n

    \u200b\u521b\u4f5c\u5fc3\u6cd5\u200b：\u6280\u672f\u7206\u6587\u7684\u9ec4\u91d1\u516c\u5f0f = \u200b\u53cd\u5e38\u8bc6\u6570\u636e \u00d7 \u53ef\u590d\u73b0\u6848\u4f8b \u00d7 \u672a\u6765\u9884\u89c1\u200b
    \n\u5f53\u4f60\u60ca\u53f9AI\u751f\u6210\u672c\u658780%\u5185\u5bb9\u65f6\u2014\u2014
    \n\u771f\u6b63\u7684\u4f5c\u8005\u6b63\u5728\u5e55\u540e\u64cd\u63a7100\u4e2aPrompt\u5f00\u5173…<\/p>\n

    \u200b\u4e92\u52a8\u8bdd\u9898\u200b：<\/p>\n

    \u4f60\u7684\u56e2\u961f\u662f\u5426\u906d\u9047\u8fc7AI\u751f\u6210\u4ee3\u7801\u7684\u5b89\u5168\u4e8b\u6545？\u5982\u4f55\u5e73\u8861\u6548\u7387\u4e0e\u98ce\u9669？（\u7cbe\u9009\u7559\u8a00\u9001\u300aAI\u7f16\u7a0b\u5b89\u5168\u5ba1\u8ba1\u767d\u76ae\u4e66\u300b）<\/p>\n

    \n

    AI\u7f16\u7a0b\u6548\u7387\u66b4\u589e300%！2025\u5e74\u5f00\u53d1\u8005\u5fc5\u5907\u5168\u653b\u7565<\/p>\n

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    \u200b\u53c2\u8003\u6587\u732e\u200b：
    \n: \u4eba\u673a\u534f\u4f5c\u5f00\u53d1\u624b\u518c，2025
    \n: OWASP AI\u5b89\u5168\u6307\u5357，2025
    \n: \u4ee3\u7801\u7248\u6743\u5408\u89c4\u68c0\u6d4b\u6807\u51c6，2025
    \n: \u539f\u5b50\u63d0\u4ea4\u5de5\u4f5c\u6d41\u89c4\u8303，2025
    \n: \u5f00\u53d1\u6548\u7387\u5ea6\u91cf\u767d\u76ae\u4e66，2025
    \n: \u4efb\u52a1\u62c6\u89e3\u4e0e\u89c4\u5212\u6307\u5357，2025
    \n: \u5f00\u53d1\u8005\u89d2\u8272\u8f6c\u578b\u62a5\u544a，2025
    \n: \u6559\u80b2\u5fc3\u7406\u5b66\u7814\u7a76，2025
    \n: \u6280\u672f\u4f20\u64ad\u65b9\u6cd5\u8bba，2025<\/p>\n","protected":false},"excerpt":{"rendered":"

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