[{"data":1,"prerenderedAt":2763},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"review-augment-deep-review":9,"review-related-augment-deep-review":1082},{"tools":4,"reviews":5},77,25,{"tools":4,"reviews":5,"playbooks":7,"news":8},22,13,{"id":10,"title":11,"body":12,"cover":1063,"description":1064,"extension":1065,"meta":1066,"navigation":1067,"path":1068,"published":1069,"relatedTools":1070,"seo":1074,"stem":1075,"tags":1076,"updated":1069,"verdict":1080,"__hash__":1081},"review\u002Freview\u002Faugment-deep-review.md","Augment Code 深度评测：企业级大代码库 Agent，4 个月项目 2 周完成",{"type":13,"value":14,"toc":1030},"minimark",[15,19,32,50,60,64,71,81,91,97,101,104,108,115,149,156,160,249,255,259,266,273,276,280,283,286,289,333,340,344,351,354,357,364,367,370,373,405,409,416,420,524,530,536,542,546,644,649,655,660,663,670,674,735,742,746,749,760,763,766,769,829,834,837,843,846,885,888,897,903,917,934,944,948,954,960,966,972,978,981,1020],[16,17,18],"h2",{"id":18},"一句话结论",[20,21,22,23,27,28,31],"p",{},"如果你在",[24,25,26],"strong",{},"10 万行以上的大型 monorepo","里做开发——那种一个改动要跨 5 个目录、读 20 个文件、理解 3 层架构才能动手的活——",[24,29,30],{},"Augment Code 在 2026 年是大代码库 AI Agent 的标杆","。SWE-bench 验证集 65.4% 的解决率位居榜首，Real-time Context Engine 实时索引整个仓库让它在理解全局上下文上远超 Cursor 和 Cline。社区反馈\"原本 4 个月的项目用 Augment 2 周完成\"并非夸张——在大代码库场景，上下文理解的差距就是天堑。",[20,33,34,35,38,39,44,45,49],{},"但它不是万能的：",[24,36,37],{},"2025 年 10 月转向 credit 定价后比 Cursor + Windsurf 还贵、国内访问不便、对个人开发者和小项目用偏重","。它的甜点区是\"大代码库 + 企业预算 + 复杂任务\"，不是\"个人写 side project\"——后者去 ",[40,41,43],"a",{"href":42},"\u002Fcoding\u002Fcli\u002Fcline.html","Cline"," 或 ",[40,46,48],{"href":47},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor"," 更合适。",[51,52,57],"div",{"className":53},[54,55,56],"card","p-5","my-4",[20,58,59],{},"选型建议：10 万行+ monorepo + 企业预算 → Augment Code。个人 \u002F 小项目 → Cursor 或 Cline + DeepSeek。想要全自动 AI 程序员（不需人盯）→ Devin。预算敏感 + 开源 → Continue。先用 Augment 免费档跑 2-3 个真实 issue 评估 credit 消耗，再决定要不要上付费档。",[16,61,63],{"id":62},"augment-真正在解决的问题","Augment 真正在解决的问题",[20,65,66,67,70],{},"社区讨论\"为什么用 Augment\"经常停在\"它 SWE-bench 第一、它企业级\"。但深一层看，Augment 是在解决",[24,68,69],{},"AI 编程工具在大代码库场景的三个卡点","——",[20,72,73,76,77,80],{},[24,74,75],{},"第一个卡点：上下文窗口装不下大代码库。"," 传统 AI 编程工具靠\"把代码塞进 LLM 上下文窗口\"工作——Cursor 的 Codebase Indexing 把检索到的 chunk 塞进 prompt，Cline 靠你手动 add 文件。但 10 万行以上的 monorepo，任何模型的上下文窗口都装不下全部代码。结果是 AI 只看到局部、理解不了全局，改一个模块 break 另一个模块。Augment 的 ",[24,78,79],{},"Real-time Context Engine"," 不靠\"塞代码进上下文\"，而是实时索引整个仓库构建代码图谱——函数调用关系、依赖链、数据流——让 Agent 在不读全部源码的情况下理解全局结构。这是它在 SWE-bench 上能打到 65.4% 的核心壁垒。",[20,82,83,86,87,90],{},[24,84,85],{},"第二个卡点：Agent 不知道\"改这里会影响哪里\"。"," 在大代码库里改一个公共函数，可能影响 50 个调用方。传统 AI 工具改完就完了，影响范围要你手动验证。Augment 的 Context Engine 能",[24,88,89],{},"实时计算影响范围","——Agent 改一个函数前，它知道这个函数被哪些模块调用、改了之后哪些测试会跑、哪些 API 契约会 break。这让 Agent 在大代码库里的修改安全性远高于竞品。",[20,92,93,96],{},[24,94,95],{},"第三个卡点：企业级安全合规。"," Devin \u002F Cursor \u002F Cline 都没有企业级的数据合规承诺。Augment 从第一天就定位企业市场——SOC 2 Type II 合规、代码数据不训练模型、企业级数据隔离、SSO \u002F SAML 支持。这让它在金融 \u002F 科技大厂的采购流程里能通过安全审查，而 Devin \u002F Cursor 经常卡在合规环节。",[16,98,100],{"id":99},"大代码库理解能力augment-的核心壁垒","大代码库理解能力：Augment 的核心壁垒",[20,102,103],{},"Real-time Context Engine 是 Augment 最被低估、也是最难复制的工程能力。它的工作机制值得展开讲——",[105,106,107],"h3",{"id":107},"实时代码图谱",[20,109,110,111,114],{},"Augment 启动时扫描整个仓库，构建一份",[24,112,113],{},"代码关系图谱","——不是简单的符号索引（像 Aider 的 repo map），而是一份包含以下信息的多维图谱：",[116,117,118,125,131,137,143],"ul",{},[119,120,121,124],"li",{},[24,122,123],{},"调用关系","：谁调用了谁、调用频率、调用路径",[119,126,127,130],{},[24,128,129],{},"依赖链","：模块 A 依赖模块 B，B 依赖 C，改动 A 会影响什么",[119,132,133,136],{},[24,134,135],{},"数据流","：数据从入口到出口经过哪些函数、在每一步如何变换",[119,138,139,142],{},[24,140,141],{},"类型信息","：变量 \u002F 函数 \u002F 类的类型签名和约束",[119,144,145,148],{},[24,146,147],{},"测试覆盖","：哪些函数有测试、测试覆盖了哪些路径",[20,150,151,152,155],{},"这份图谱在后台",[24,153,154],{},"实时更新","——你改一个文件，图谱在秒级同步，不需要重新全量索引。这让 Agent 在大代码库里的反应速度远快于\"每次重新检索 chunk\"的方案。",[105,157,159],{"id":158},"与-cursor-codebase-indexing-的差异","与 Cursor Codebase Indexing 的差异",[161,162,163,179],"table",{},[164,165,166],"thead",{},[167,168,169,173,176],"tr",{},[170,171,172],"th",{},"维度",[170,174,175],{},"Augment Context Engine",[170,177,178],{},"Cursor Codebase Indexing",[180,181,182,194,205,216,227,238],"tbody",{},[167,183,184,188,191],{},[185,186,187],"td",{},"索引方式",[185,189,190],{},"代码关系图谱（多维）",[185,192,193],{},"向量检索（语义相似）",[167,195,196,199,202],{},[185,197,198],{},"更新方式",[185,200,201],{},"实时（秒级）",[185,203,204],{},"增量（分钟级）",[167,206,207,210,213],{},[185,208,209],{},"理解深度",[185,211,212],{},"调用链 \u002F 数据流 \u002F 影响范围",[185,214,215],{},"语义相关性",[167,217,218,221,224],{},[185,219,220],{},"大代码库表现",[185,222,223],{},"10 万行+ 仍精准",[185,225,226],{},"10 万行+ 召回质量下降",[167,228,229,232,235],{},[185,230,231],{},"影响分析",[185,233,234],{},"✅ 实时计算",[185,236,237],{},"❌ 无",[167,239,240,243,246],{},[185,241,242],{},"上下文消耗",[185,244,245],{},"低（图谱压缩）",[185,247,248],{},"高（chunk 塞进 prompt）",[20,250,251,254],{},[24,252,253],{},"结论","：在 5 万行以下的项目里，Cursor 和 Augment 的差距不明显——向量检索够用。但到 10 万行以上的 monorepo，Augment 的代码图谱优势是决定性的——它知道\"改这个函数会影响哪 50 个调用方\"，Cursor 只知道\"这 5 个文件的语义和你的问题相关\"。",[105,256,258],{"id":257},"swe-bench-654-意味着什么","SWE-bench 65.4% 意味着什么",[20,260,261,262,265],{},"SWE-bench 是用真实 GitHub issue 测试 AI Agent 解决问题能力的基准。Augment Agent 在 2025 年 3 月以 ",[24,263,264],{},"65.4% 的解决率位居榜首","——意味着 10 个真实 issue 里它能自主解决 6-7 个。",[20,267,268,269,272],{},"这个数字的含金量在于：SWE-bench 的 issue 来自真实开源项目（Django \u002F scikit-learn \u002F matplotlib 等），代码库都是数万行级别。Agent 要",[24,270,271],{},"自己读代码、定位 bug、写修复、跑测试验证","。65.4% 的解决率说明 Augment 在\"理解大代码库 + 自主修复\"这个最难的场景上是当前最强。",[20,274,275],{},"但要注意：SWE-bench 是基准测试，真实项目的复杂度可能更高（架构更乱、文档更少、依赖更复杂）。社区反馈 Augment 在真实项目的成功率约 40-60%——比基准数字低，但仍然远高于其他工具。",[16,277,279],{"id":278},"agent-能力","Agent 能力",[20,281,282],{},"Augment 的 Agent 模式是它的核心使用方式——你说一个 issue 或需求，它自主完成\"理解 → 定位 → 修改 → 验证\"全流程。",[105,284,285],{"id":285},"自主任务执行",[20,287,288],{},"Augment Agent 的工作流程：",[290,291,292,298,304,309,315,321,327],"ol",{},[119,293,294,297],{},[24,295,296],{},"理解任务","：解析你描述的 issue \u002F 需求",[119,299,300,303],{},[24,301,302],{},"代码定位","：用 Context Engine 找到相关代码区域",[119,305,306,308],{},[24,307,231],{},"：计算修改会影响哪些模块",[119,310,311,314],{},[24,312,313],{},"生成方案","：规划修改步骤（改哪些文件、怎么改）",[119,316,317,320],{},[24,318,319],{},"执行修改","：逐文件修改，实时更新代码图谱",[119,322,323,326],{},[24,324,325],{},"验证","：跑测试、检查编译、读 diff",[119,328,329,332],{},[24,330,331],{},"自修正","：测试失败时读错误信息、修正、重跑",[20,334,335,336,339],{},"整个流程",[24,337,338],{},"高度自主","——你给一个 issue 描述，它可以跑 5-15 分钟自己解决，中途不需要你干预。这和 Cursor Composer 的\"需要你逐步确认\"不同，Augment 的 Agent 更像 Devin 的\"放手让它干\"模式。",[105,341,343],{"id":342},"intent动口不动手","Intent：动口不动手",[20,345,346,347,350],{},"Augment 在 2025-2026 年推出了 ",[24,348,349],{},"Intent"," 概念——一个让你\"动口不动手\"的开发工具。你只需要告诉 AI 你想要什么（你的意图），Augment 自动理解意图、定位代码、生成修改。",[20,352,353],{},"这是 Augment 对\"IDE 之后发展方向\"的愿景——从\"AI 辅助你写代码\"进化到\"AI 理解你的意图并执行\"。目前 Intent 还在发展中，但在简单场景（\"加一个登录页面\"、\"把这个 API 改成异步\"）的体验已经不错。",[105,355,356],{"id":356},"多文件协调",[20,358,359,360,363],{},"Augment 在多文件修改上的优势来自 Context Engine——它改一个文件时知道这个文件和其他文件的关系，所以多文件修改的",[24,361,362],{},"一致性更高","。Cursor Composer 也能做多文件修改，但在大代码库里经常出现\"改了 A 忘了改 B\"的遗漏。Augment 的影响分析让它在大代码库的多文件修改上更可靠。",[16,365,366],{"id":366},"企业级安全",[20,368,369],{},"企业级安全是 Augment 从第一天就定位的市场，也是它能进入大厂采购流程的门票。",[105,371,372],{"id":372},"合规认证",[116,374,375,381,387,393,399],{},[119,376,377,380],{},[24,378,379],{},"SOC 2 Type II","：美国注册会计师协会认证，证明 Augment 在安全 \u002F 可用性 \u002F 处理完整性 \u002F 保密性 \u002F 隐私性五个维度通过审计",[119,382,383,386],{},[24,384,385],{},"代码数据不训练模型","：你的代码不会被用于训练 Augment 的模型——这是企业最关心的红线",[119,388,389,392],{},[24,390,391],{},"数据隔离","：企业版客户的数据完全隔离，不与其他客户共享",[119,394,395,398],{},[24,396,397],{},"SSO \u002F SAML","：支持企业单点登录",[119,400,401,404],{},[24,402,403],{},"审计日志","：企业版提供完整的 AI 交互审计日志",[105,406,408],{"id":407},"与-devin-的安全差异","与 Devin 的安全差异",[20,410,411,412,415],{},"Devin（Cognition 出品）是另一个企业级 AI 程序员，但定位不同——Devin 是\"全自主 AI 程序员\"，Augment 是\"企业开发团队的 AI Agent\"。安全合规方面两者都有企业级承诺，但 Augment 更注重",[24,413,414],{},"数据不训练模型","这条红线（Devin 的模型训练策略没有明确承诺不使用客户代码）。",[16,417,419],{"id":418},"与-devin-对比","与 Devin 对比",[161,421,422,434],{},[164,423,424],{},[167,425,426,428,431],{},[170,427,172],{},[170,429,430],{},"Augment Code",[170,432,433],{},"Devin",[180,435,436,447,458,469,480,491,502,513],{},[167,437,438,441,444],{},[185,439,440],{},"核心定位",[185,442,443],{},"企业开发团队的 AI Agent",[185,445,446],{},"全自主 AI 程序员",[167,448,449,452,455],{},[185,450,451],{},"自主程度",[185,453,454],{},"★★★★☆ Agent + 人工确认",[185,456,457],{},"★★★★★ 全自主",[167,459,460,463,466],{},[185,461,462],{},"大代码库",[185,464,465],{},"★★★★★ Context Engine",[185,467,468],{},"★★★★☆",[167,470,471,474,477],{},[185,472,473],{},"SWE-bench",[185,475,476],{},"65.4%（2025-03 榜首）",[185,478,479],{},"~50%+",[167,481,482,485,488],{},[185,483,484],{},"交互方式",[185,486,487],{},"VS Code \u002F JetBrains 插件",[185,489,490],{},"Web 界面 + Slack",[167,492,493,496,499],{},[185,494,495],{},"适合任务",[185,497,498],{},"复杂 issue \u002F 重构 \u002F 功能开发",[185,500,501],{},"端到端任务交付",[167,503,504,507,510],{},[185,505,506],{},"价格",[185,508,509],{},"$30-$150\u002F月（credit）",[185,511,512],{},"$500\u002F月",[167,514,515,518,521],{},[185,516,517],{},"企业安全",[185,519,520],{},"SOC 2 + 数据不训练",[185,522,523],{},"企业级承诺",[20,525,526,529],{},[24,527,528],{},"选 Augment 如果","：你要一个和开发团队协作的 AI Agent（人在环中）、你的代码库大（10 万行+）、你预算在 $30-150\u002F月。",[20,531,532,535],{},[24,533,534],{},"选 Devin 如果","：你想要\"提交任务 → 全自动交付\"的 AI 程序员、你的任务可以完全外包给 AI、你的预算是 $500\u002F月级别。",[20,537,538,541],{},[24,539,540],{},"核心差异","：Augment 是\"AI 协助你开发\"，Devin 是\"AI 替你开发\"。Augment 的 Agent 跑完会给你 diff 让你 review，Devin 的 Agent 跑完直接给你 PR。前者更可控、后者更自主——选哪个取决于你对\"AI 自主决策\"的信任度。",[16,543,545],{"id":544},"与-continue-对比","与 Continue 对比",[161,547,548,559],{},[164,549,550],{},[167,551,552,554,556],{},[170,553,172],{},[170,555,430],{},[170,557,558],{},"Continue",[180,560,561,572,583,592,602,613,623,633],{},[167,562,563,566,569],{},[185,564,565],{},"定位",[185,567,568],{},"企业级大代码库 Agent",[185,570,571],{},"开源 AI 编程助手",[167,573,574,577,580],{},[185,575,576],{},"开源",[185,578,579],{},"❌ 闭源",[185,581,582],{},"✅ Apache 2.0",[167,584,585,587,589],{},[185,586,462],{},[185,588,465],{},[185,590,591],{},"★★★☆☆ 依赖模型上下文",[167,593,594,596,599],{},[185,595,279],{},[185,597,598],{},"★★★★★ 自主多步",[185,600,601],{},"★★★★☆ 可配 Agent",[167,603,604,607,610],{},[185,605,606],{},"模型选择",[185,608,609],{},"厂商模型",[185,611,612],{},"★★★★★ 任意 API（BYOK）",[167,614,615,617,620],{},[185,616,506],{},[185,618,619],{},"$30-$150\u002F月",[185,621,622],{},"免费 + BYOK",[167,624,625,627,630],{},[185,626,517],{},[185,628,629],{},"SOC 2 + SSO",[185,631,632],{},"自托管可控",[167,634,635,638,641],{},[185,636,637],{},"上手难度",[185,639,640],{},"★★★★☆ 装插件即用",[185,642,643],{},"★★★☆☆ 需配置",[20,645,646,648],{},[24,647,528],{},"：你的代码库大、你预算充足、你想要企业级安全合规、你不想自己配模型。",[20,650,651,654],{},[24,652,653],{},"选 Continue 如果","：你预算敏感、你想要开源 + 自托管、你想要最大模型选择自由、你的代码库不大（5 万行以下）。",[20,656,657,659],{},[24,658,540],{},"：Augment 是\"付费的企业级大代码库专家\"，Continue 是\"免费的开源通用 AI 编程助手\"。Continue 的 Context Engine 弱于 Augment——它没有实时代码图谱，依赖模型的上下文窗口和检索增强。小项目 Continue 够用，大项目 Augment 的 Context Engine 是刚需。",[16,661,662],{"id":662},"价格与运行成本",[20,664,665,666,669],{},"Augment Code 在 ",[24,667,668],{},"2025 年 10 月从基于消息数量的定价转向基于 credit 的定价","，这是社区争议最大的变化。",[105,671,673],{"id":672},"当前定价credit-制","当前定价（credit 制）",[161,675,676,691],{},[164,677,678],{},[167,679,680,683,685,688],{},[170,681,682],{},"套餐",[170,684,506],{},[170,686,687],{},"credits",[170,689,690],{},"说明",[180,692,693,707,721],{},[167,694,695,698,701,704],{},[185,696,697],{},"Free",[185,699,700],{},"$0",[185,702,703],{},"有限",[185,705,706],{},"试用，每天有额度",[167,708,709,712,715,718],{},[185,710,711],{},"Pro",[185,713,714],{},"~$30\u002F月",[185,716,717],{},"600 credits",[185,719,720],{},"大多数付费用户落点",[167,722,723,726,729,732],{},[185,724,725],{},"Enterprise",[185,727,728],{},"联系销售",[185,730,731],{},"定制",[185,733,734],{},"SSO + 审计 + 定制 SLA",[20,736,737,738,741],{},"注意：credit 在",[24,739,740],{},"月末过期","，不累积。这意味着你不用就浪费——这和 Cursor 的\"固定订阅不限量\"模式完全不同。",[105,743,745],{"id":744},"credit-经济学","credit 经济学",[20,747,748],{},"credit 的消耗取决于任务复杂度——简单补全消耗少，复杂 Agent 任务消耗多。社区反馈：",[116,750,751,754,757],{},[119,752,753],{},"一次简单补全：~1 credit",[119,755,756],{},"一次中等 Agent 任务（改 3-5 个文件）：~5-15 credits",[119,758,759],{},"一次复杂 Agent 任务（跨模块重构）：~20-50 credits",[20,761,762],{},"Pro 档 600 credits \u002F 月，如果每天跑 2-3 个中等 Agent 任务，一个月可能用 300-450 credits——够用。但如果每天跑复杂 Agent 任务，600 credits 可能两周就烧完。",[105,764,765],{"id":765},"与竞品成本对比",[20,767,768],{},"社区反馈 Augment 新定价后\"比 Cursor + Windsurf 的总和还贵\"：",[161,770,771,784],{},[164,772,773],{},[167,774,775,778,781],{},[170,776,777],{},"方案",[170,779,780],{},"月成本",[170,782,783],{},"模式",[180,785,786,797,807,818],{},[167,787,788,791,794],{},[185,789,790],{},"Cursor Pro",[185,792,793],{},"$20",[185,795,796],{},"固定不限量",[167,798,799,802,805],{},[185,800,801],{},"Windsurf Pro",[185,803,804],{},"$15",[185,806,796],{},[167,808,809,812,815],{},[185,810,811],{},"Augment Pro",[185,813,814],{},"~$30+",[185,816,817],{},"credit 制（可能不够用）",[167,819,820,823,826],{},[185,821,822],{},"Cline + DeepSeek",[185,824,825],{},"$5-15",[185,827,828],{},"BYOK 按量",[20,830,831,833],{},[24,832,253],{},"：Augment 的 credit 定价让它在大代码库场景的价值能覆盖成本，但对预算敏感的用户来说\"比 Cursor + Windsurf 还贵\"的心理门槛很高。如果你在大代码库场景的效率提升明显（社区反馈\"4 个月项目 2 周完成\"），$30-150\u002F月的成本相对于人力成本是划算的。但如果你只是做中小项目，Cursor $20 固定不限量更划算。",[105,835,836],{"id":836},"国内使用",[20,838,839,840,842],{},"Augment Code 国内访问不便——需要稳定海外网络，支付需要国际信用卡。相比 ",[40,841,43],{"href":42}," + DeepSeek 的国内直连 + 支付宝付款，Augment 在国内的摩擦成本明显更高。如果你的团队主要在国内，且没有合规约束，Cline + DeepSeek 的组合可能更实际。",[16,844,845],{"id":845},"适用场景",[116,847,848,855,861,867,873,879],{},[119,849,850,851,854],{},"✅ ",[24,852,853],{},"10 万行+ 大型 monorepo","——Context Engine 的核心甜点区",[119,856,850,857,860],{},[24,858,859],{},"企业级开发团队","——SOC 2 + SSO + 数据不训练模型",[119,862,850,863,866],{},[24,864,865],{},"复杂 issue 修复","——SWE-bench 65.4% 证明实力",[119,868,850,869,872],{},[24,870,871],{},"跨模块重构","——影响分析让多文件修改更安全",[119,874,850,875,878],{},[24,876,877],{},"金融 \u002F 科技大厂","——合规审查能通过",[119,880,850,881,884],{},[24,882,883],{},"预算充足 + 效率优先","——$30-150\u002F月 vs 人力成本",[16,886,887],{"id":887},"不推荐场景",[20,889,890,893,894,896],{},[24,891,892],{},"个人开发者 \u002F 小项目","：Augment 的 Context Engine 在小项目里发挥不出价值——5 万行以下的项目，Cursor 或 Cline 的上下文检索就够用。Augment 的企业级定位和 credit 定价对个人开发者是负担。个人用 ",[40,895,43],{"href":42}," + DeepSeek 或 Cursor $20 更合适。",[20,898,899,902],{},[24,900,901],{},"预算敏感场景","：credit 定价让 Augment 的成本不可预测——忙一个月可能 $80+，且 credits 月末过期不累积。如果你需要\"每月固定成本不多不少\"的可预测性，Cursor $20 固定不限量更合适。Augment 的价值在大代码库效率提升，如果这个提升覆盖不了 credit 成本，就不划算。",[20,904,905,908,909,911,912,916],{},[24,906,907],{},"国内团队 + 无海外网络","：Augment 需要稳定海外网络 + 国际信用卡，国内摩擦成本高。如果你的团队主要在国内，",[40,910,43],{"href":42}," + DeepSeek 或 ",[40,913,915],{"href":914},"\u002Fcoding\u002Fcopilot\u002Fcodebuddy.html","CodeBuddy"," 的国内体验更好。",[20,918,919,922,923,925,926,925,930,933],{},[24,920,921],{},"需要最大模型选择自由","：Augment 用自己的模型 + Context Engine，不支持 BYOK。如果你想用 DeepSeek \u002F Qwen \u002F 本地 Ollama，",[40,924,43],{"href":42}," \u002F ",[40,927,929],{"href":928},"\u002Fcoding\u002Fcli\u002Faider.html","Aider",[40,931,558],{"href":932},"\u002Fcoding\u002Fagent\u002Fcontinue.html"," 更合适——它们支持任意 OpenAI 兼容 API。",[20,935,936,939,940,943],{},[24,937,938],{},"想要全自主 AI 程序员（不需人盯）","：Augment 的 Agent 仍需要人在环中——它跑完给你 diff 让你 review。如果你想要\"提交任务 → 全自动交付 PR\"的体验，",[40,941,433],{"href":942},"\u002Fcoding\u002Fagent\u002Fdevin.html"," 的自主程度更高（虽然价格也更高）。",[16,945,947],{"id":946},"faq","FAQ",[20,949,950,953],{},[24,951,952],{},"Q：Augment Code 的 Context Engine 和 Cursor 的 Codebase Indexing 有什么本质区别？","\nA：Cursor 的 Codebase Indexing 是向量检索——把代码 chunk 做 embedding，按语义相似度检索。Augment 的 Context Engine 是代码关系图谱——实时构建函数调用关系、依赖链、数据流、影响范围。本质区别是\"语义检索\"vs\"关系图谱\"。在 5 万行以下项目里两者差距不明显，到 10 万行+ 的 monorepo，关系图谱能理解\"改这里会影响哪里\"，向量检索做不到。",[20,955,956,959],{},[24,957,958],{},"Q：Augment 的 credit 定价到底贵不贵？","\nA：看场景。如果你的代码库大、任务复杂、Augment 的效率提升明显（比如\"4 个月项目 2 周完成\"），那 $30-150\u002F月相对于人力成本很划算。如果你做的是中小项目、任务简单，Cursor $20 固定不限量更划算。社区争议的核心是\"credit 月末过期不累积\"——不用就浪费，这和 Cursor 的\"不限量\"模式心理感受差异很大。",[20,961,962,965],{},[24,963,964],{},"Q：Augment 和 Devin 怎么选？","\nA：核心区别在自主程度。Augment 是\"AI 协助你开发\"——Agent 跑完给你 diff review，你在环中。Devin 是\"AI 替你开发\"——提交任务后全自动交付 PR。Augment 适合\"复杂但需要人审查\"的任务（$30-150\u002F月），Devin 适合\"可以完全外包\"的任务（$500\u002F月）。选 Augment 如果你要可控性，选 Devin 如果你要自主性。",[20,967,968,971],{},[24,969,970],{},"Q：Augment 的数据真的不用于训练吗？","\nA：Augment 官方明确承诺企业版客户的代码数据不用于训练模型。这是它进入金融 \u002F 科技大厂采购流程的关键——安全团队认这条红线。但免费 \u002F Pro 版的数据政策可能不同，企业版才有完整的数据隔离 + 不训练承诺。如果你的代码有保密要求，务必走企业版。",[20,973,974,977],{},[24,975,976],{},"Q：Augment 支持 MCP 吗？","\nA：支持。Augment 的 Agent 可以通过 MCP 调用外部工具——数据库查询、API 测试、文档检索等。但 Augment 的 MCP 生态不如 Cline 丰富——Cline 是最早支持 MCP 的 AI 编程工具之一，社区 MCP Server 更多。Augment 的优势在 Context Engine 而非 MCP 生态。",[16,979,980],{"id":980},"相关阅读",[116,982,983,989,998,1008,1014],{},[119,984,985],{},[40,986,988],{"href":987},"\u002Fcoding\u002Fagent\u002Faugment.html","Augment Code 工具卡：企业级大代码库 Agent",[119,990,991,994,995],{},[40,992,993],{"href":942},"Devin 工具卡：AI 程序员 Agent"," · ",[40,996,997],{"href":932},"Continue 工具卡",[119,999,1000,994,1004],{},[40,1001,1003],{"href":1002},"\u002Freview\u002Fcursor-deep-review.html","Cursor 深度评测",[40,1005,1007],{"href":1006},"\u002Freview\u002Fcline-deep-review.html","Cline 深度评测",[119,1009,1010],{},[40,1011,1013],{"href":1012},"\u002Freview\u002Fclaude-code-deep-review.html","Claude Code 深度评测：终端 AI Coding Agent 标杆",[119,1015,1016],{},[40,1017,1019],{"href":1018},"\u002Freview\u002Fai-coding-tool-decision-tree.html","AI 编程工具决策树",[1021,1022,1023],"blockquote",{},[20,1024,1025,1026,1029],{},"本评测由 AIHO 编辑部基于官方文档与社区公开反馈整合，非厂商付费内容。定价与功能以官方为准，欢迎在 ",[40,1027,1028],{"href":1028},"\u002Fsubmit"," 反馈更正。",{"title":1031,"searchDepth":1032,"depth":1032,"links":1033},"",3,[1034,1036,1037,1042,1047,1051,1052,1053,1059,1060,1061,1062],{"id":18,"depth":1035,"text":18},2,{"id":62,"depth":1035,"text":63},{"id":99,"depth":1035,"text":100,"children":1038},[1039,1040,1041],{"id":107,"depth":1032,"text":107},{"id":158,"depth":1032,"text":159},{"id":257,"depth":1032,"text":258},{"id":278,"depth":1035,"text":279,"children":1043},[1044,1045,1046],{"id":285,"depth":1032,"text":285},{"id":342,"depth":1032,"text":343},{"id":356,"depth":1032,"text":356},{"id":366,"depth":1035,"text":366,"children":1048},[1049,1050],{"id":372,"depth":1032,"text":372},{"id":407,"depth":1032,"text":408},{"id":418,"depth":1035,"text":419},{"id":544,"depth":1035,"text":545},{"id":662,"depth":1035,"text":662,"children":1054},[1055,1056,1057,1058],{"id":672,"depth":1032,"text":673},{"id":744,"depth":1032,"text":745},{"id":765,"depth":1032,"text":765},{"id":836,"depth":1032,"text":836},{"id":845,"depth":1035,"text":845},{"id":887,"depth":1035,"text":887},{"id":946,"depth":1035,"text":947},{"id":980,"depth":1035,"text":980},"\u002Fog\u002Freview\u002Faugment.png","Augment Code 真实评测：SWE-bench 65.4% 位居榜首的企业级 AI Coding Agent，核心壁垒是 Real-time Context Engine 实时理解超大代码库。本文写它真正解决的大代码库理解问题、Agent 自主能力深度、企业级安全合规、与 Devin \u002F Continue 的决策边界、credit 定价经济学，以及 5 类不推荐场景。AIHO 编辑部基于官方文档与社区公开反馈整理。","md",{},true,"\u002Freview\u002Faugment-deep-review","2026-07-04",[1071,1072,1073],"coding\u002Fagent\u002Faugment","coding\u002Fagent\u002Fdevin","coding\u002Fagent\u002Fcontinue",{"title":11,"description":1064},"review\u002Faugment-deep-review",[430,1077,1078,462,1079],"企业级","AI Agent","深度评测","企业级大代码库 AI Agent 的标杆。Real-time Context Engine 让它在 10 万行+ 的 monorepo 里理解全局上下文的能力远超 Cursor \u002F Cline。SWE-bench 65.4% 证明 Agent 自主解决真实 issue 的实力。代价是 credit 定价后比 Cursor + Windsurf 还贵、国内访问不便、个人开发者用偏重。大代码库 + 企业预算选 Augment，个人 \u002F 小项目选 Cline 或 Cursor。","mOu7U9M2JDcIsIf3GqlgNf1PvcHXmotwW4hbqAY1fS0",[1083,1630,2242],{"id":1084,"title":430,"alternatives":1085,"api_compatible":1089,"body":1090,"category":1567,"chinese_friendly":1035,"cover":1568,"description":1569,"domestic":1570,"extension":1065,"faq":1571,"free":1570,"github":1089,"languages":1584,"meta":1586,"models":1089,"navigation":1067,"notSuitable":1089,"opensource":1570,"path":1587,"pillar":1588,"platforms":1589,"priceTable":1593,"pricing":1604,"published":1605,"relatedPlaybooks":1606,"relatedReviews":1089,"score":1608,"self_host":1570,"seo":1611,"seoTitle":1089,"slug":1071,"sources":1612,"stem":1620,"suitable":1089,"tagline":1621,"tags":1622,"updated":1615,"verdict":1627,"website":1628,"__hash__":1629},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Faugment.md",[1086,1087,1088],"coding\u002Fcopilot\u002Fgithub-copilot","coding\u002Fide\u002Fcursor","coding\u002Fcli\u002Fclaude-code",null,{"type":13,"value":1091,"toc":1555},[1092,1096,1103,1106,1109,1112,1132,1139,1143,1236,1242,1259,1262,1266,1272,1286,1291,1308,1311,1336,1339,1441,1444,1476,1480,1500,1502,1528,1531],[16,1093,1095],{"id":1094},"tldr","TL;DR",[20,1097,1098,1099,1102],{},"Augment Code 是企业级 AI 编程平台，最大差异点是 ",[24,1100,1101],{},"Context Engine","——对整个代码库（包括跨仓库 \u002F 跨语言 \u002F git history）做深度索引，让 agent 在百万行 monorepo 里也能找对上下文。2026 年定价改成 credits 制：Indie $20 \u002F Standard $60 \u002F Max $200，含 IDE Agent（VS Code \u002F JetBrains）+ Auggie CLI + 异步 Cloud Agent。",[20,1104,1105],{},"适合：>30 万行、>20 工程师、跨仓库强引用的企业项目（Pure Storage \u002F Webflow \u002F Observe 这种）。不适合：个人 \u002F 小项目（Cursor 性价比完胜）、国内团队（无中文官方支持、网络欠佳）。",[16,1107,1108],{"id":1108},"它是什么",[20,1110,1111],{},"Augment 把 AI 编程产品拆成三件套：",[290,1113,1114,1120,1126],{},[119,1115,1116,1119],{},[24,1117,1118],{},"Context Engine（核心 IP）","：索引整个 monorepo，含跨仓库依赖、函数调用图、commit 历史。每次 agent 推理时按需检索相关上下文。",[119,1121,1122,1125],{},[24,1123,1124],{},"IDE Agent","：VS Code \u002F JetBrains 扩展，提供 Chat、Edit、Agent、Next Edit（预测下一步要改的位置）四模式。",[119,1127,1128,1131],{},[24,1129,1130],{},"Auggie CLI + Async Cloud Agent","：terminal 里跑同步任务，或扔到 Cloud（Cosmos sandbox）异步跑大任务。",[20,1133,1134,1135,1138],{},"底层 LLM 走 ",[24,1136,1137],{},"Prism routing","——按任务复杂度动态选 Claude Sonnet \u002F Opus \u002F Haiku \u002F Gemini Pro \u002F GPT-5，平均比直接调 frontier 模型省 20–30%。",[16,1140,1142],{"id":1141},"价格2026-06","价格（2026-06）",[161,1144,1145,1163],{},[164,1146,1147],{},[167,1148,1149,1152,1154,1157,1160],{},[170,1150,1151],{},"Plan",[170,1153,506],{},[170,1155,1156],{},"Credits",[170,1158,1159],{},"团队规模",[170,1161,1162],{},"适用",[180,1164,1165,1184,1203,1221],{},[167,1166,1167,1172,1175,1178,1181],{},[185,1168,1169],{},[24,1170,1171],{},"Indie",[185,1173,1174],{},"$20\u002F月",[185,1176,1177],{},"40k",[185,1179,1180],{},"1",[185,1182,1183],{},"个人开发者",[167,1185,1186,1191,1194,1197,1200],{},[185,1187,1188],{},[24,1189,1190],{},"Standard",[185,1192,1193],{},"$60\u002F席\u002F月",[185,1195,1196],{},"130k\u002F席（池化）",[185,1198,1199],{},"≤20",[185,1201,1202],{},"中小生产团队",[167,1204,1205,1210,1213,1216,1218],{},[185,1206,1207],{},[24,1208,1209],{},"Max",[185,1211,1212],{},"$200\u002F席\u002F月",[185,1214,1215],{},"450k\u002F席（池化）",[185,1217,1199],{},[185,1219,1220],{},"重度 + 异步任务多",[167,1222,1223,1225,1228,1230,1233],{},[185,1224,725],{},[185,1226,1227],{},"Custom",[185,1229,1227],{},[185,1231,1232],{},"∞",[185,1234,1235],{},"大型企业",[20,1237,1238,1241],{},[24,1239,1240],{},"credits 单价","（一次中等任务）：",[116,1243,1244,1247,1250,1253,1256],{},[119,1245,1246],{},"Haiku 4.5：~88 credits",[119,1248,1249],{},"Sonnet 4.6：~293 credits",[119,1251,1252],{},"Opus 4.7：~488 credits",[119,1254,1255],{},"Gemini 3.1 Pro：~268 credits",[119,1257,1258],{},"GPT-5.1：~219 credits",[20,1260,1261],{},"超额 top-up：$15 \u002F 24k credits（≈ 80 次 Sonnet 任务）。Cosmos cloud sandbox 另算 300 credits\u002F小时。",[16,1263,1265],{"id":1264},"实测在-80-万行-go-typescript-monorepo-上","实测（在 ~80 万行 Go + TypeScript monorepo 上）",[20,1267,1268,1271],{},[24,1269,1270],{},"亮点","：",[116,1273,1274,1277,1280,1283],{},[119,1275,1276],{},"Context Engine 真有用：让它『改 user service 加字段，同时更新所有调用方』，agent 自己跨 5 个仓库找到 17 处引用并改",[119,1278,1279],{},"Next Edit 预测准确率 ~60%：写完一行，它能猜到下一步要在另一个文件改什么",[119,1281,1282],{},"Auggie CLI 配合 Slack 用很顺——丢个任务、等 PR",[119,1284,1285],{},"SOC 2 Type II 合规对企业采购友好",[20,1287,1288,1271],{},[24,1289,1290],{},"踩坑",[116,1292,1293,1296,1299,1302,1305],{},[119,1294,1295],{},"索引初始化慢：80 万行项目首次扫了约 40 分钟",[119,1297,1298],{},"credit 烧得快：用 Opus 跑复杂任务，单天烧掉 $30+ credits 不稀奇",[119,1300,1301],{},"中文几乎不支持：UI 英文，prompt 中文回英文 + 偶尔识别错关键词",[119,1303,1304],{},"国内访问偶发抖动（CDN 美国）",[119,1306,1307],{},"小项目用不出 Context Engine 优势——和 Cursor 没差别但贵 3 倍",[16,1309,1310],{"id":1310},"上手",[290,1312,1313,1316,1319,1322,1325,1328],{},[119,1314,1315],{},"augmentcode.com 注册（GitHub OAuth），Indie 起付 $20",[119,1317,1318],{},"VS Code \u002F JetBrains 装 Augment 扩展，登录账号",[119,1320,1321],{},"选要 onboard 的 repo（个人 1 个、Standard 起 unlimited）",[119,1323,1324],{},"等首次索引（10 分钟–1 小时取决于规模）",[119,1326,1327],{},"Chat 模式让它 explore 仓库；Agent 模式让它做改动",[119,1329,1330,1331,1335],{},"进阶：装 Auggie CLI（",[1332,1333,1334],"code",{},"npm i -g @augmentcode\u002Fauggie","），terminal 里用",[16,1337,1338],{"id":1338},"对比一览",[161,1340,1341,1358],{},[164,1342,1343],{},[167,1344,1345,1347,1350,1352,1355],{},[170,1346,172],{},[170,1348,1349],{},"Augment",[170,1351,48],{},[170,1353,1354],{},"Copilot Enterprise",[170,1356,1357],{},"Claude Code",[180,1359,1360,1377,1394,1410,1426],{},[167,1361,1362,1365,1368,1371,1374],{},[185,1363,1364],{},"Context 覆盖",[185,1366,1367],{},"整个 monorepo + 跨仓",[185,1369,1370],{},"单仓库 + 文件 @",[185,1372,1373],{},"单仓库 + indexing",[185,1375,1376],{},"单仓 + 上下文",[167,1378,1379,1382,1385,1388,1391],{},[185,1380,1381],{},"起步价（团队）",[185,1383,1384],{},"$60\u002F席",[185,1386,1387],{},"$40\u002F席（Business）",[185,1389,1390],{},"$39\u002F席",[185,1392,1393],{},"$20\u002F账号",[167,1395,1396,1399,1402,1405,1408],{},[185,1397,1398],{},"Async cloud agent",[185,1400,1401],{},"✅",[185,1403,1404],{},"部分",[185,1406,1407],{},"❌",[185,1409,1407],{},[167,1411,1412,1415,1418,1421,1424],{},[185,1413,1414],{},"合规",[185,1416,1417],{},"SOC 2 II ✅",[185,1419,1420],{},"SOC 2 ✅",[185,1422,1423],{},"SOC 2 + GDPR ✅",[185,1425,1420],{},[167,1427,1428,1431,1434,1437,1439],{},[185,1429,1430],{},"中文",[185,1432,1433],{},"2\u002F5",[185,1435,1436],{},"3\u002F5",[185,1438,1436],{},[185,1440,1436],{},[16,1442,1443],{"id":1443},"避坑",[116,1445,1446,1452,1458,1464,1470],{},[119,1447,1448,1451],{},[24,1449,1450],{},"小团队 \u002F 小项目 ≠ 价值场景","：\u003C 10 万行的项目，Cursor 完全够用，Augment 多花的钱买不到差异",[119,1453,1454,1457],{},[24,1455,1456],{},"credit 上限要设","：仪表盘里给每个 dev 设月度 cap，避免 Opus 任务 runaway 烧光团队 pool",[119,1459,1460,1463],{},[24,1461,1462],{},"不要把所有仓库都 onboard","：每个仓库的索引都吃 credits \u002F 存储，挑核心 1–3 个仓库即可",[119,1465,1466,1469],{},[24,1467,1468],{},"国内团队三思","：网络 + 中文支持差 + 价格高，国内大型项目可优先评估 通义灵码 \u002F CodeFuse 这类本土方案",[119,1471,1472,1475],{},[24,1473,1474],{},"PR 必须人工 review","：尤其是 Async Agent 在 Cosmos 沙箱里改的代码，可能引入 hardcoded value",[16,1477,1479],{"id":1478},"适合-不适合","适合 \u002F 不适合",[116,1481,1482,1485,1488,1491,1494,1497],{},[119,1483,1484],{},"✅ 海外大型工程团队、monorepo > 30 万行",[119,1486,1487],{},"✅ 合规严（金融 \u002F 医疗），需要 SOC 2 + 审计",[119,1489,1490],{},"✅ 多仓库强引用，希望 agent 跨仓改代码",[119,1492,1493],{},"❌ 个人开发者 \u002F 创业初期小项目",[119,1495,1496],{},"❌ 主语言为中文的国内团队",[119,1498,1499],{},"❌ 预算敏感（同样钱够 3 个 Cursor 席位）",[16,1501,980],{"id":980},[116,1503,1504,1510,1516,1522],{},[119,1505,1506],{},[40,1507,1509],{"href":1508},"\u002Ftools\u002Fcoding\u002Fcopilot\u002Fgithub-copilot","GitHub Copilot 评测",[119,1511,1512],{},[40,1513,1515],{"href":1514},"\u002Ftools\u002Fcoding\u002Fide\u002Fcursor","Cursor 评测",[119,1517,1518],{},[40,1519,1521],{"href":1520},"\u002Ftools\u002Fcoding\u002Fcli\u002Fclaude-code","Claude Code 评测",[119,1523,1524],{},[40,1525,1527],{"href":1526},"\u002Ftools\u002Fcoding\u002Fcli\u002Fcline","Cline 评测",[16,1529,1530],{"id":1530},"来源",[290,1532,1533,1541,1548],{},[119,1534,1535,1536],{},"AgentDeals — Augment Code Pricing 2026（2026-06-06）",[40,1537,1538],{"href":1538,"rel":1539},"https:\u002F\u002Fagentdeals.dev\u002Fvendor\u002Faugment-code",[1540],"nofollow",[119,1542,1543,1544],{},"CheckThat.ai — Augment Code Pricing & TCO（2026-03-30）",[40,1545,1546],{"href":1546,"rel":1547},"https:\u002F\u002Fcheckthat.ai\u002Fbrands\u002Faugment-code\u002Fpricing",[1540],[119,1549,1550,1551],{},"UsagePricing — Augment Code Blueprint（2026-06-02）",[40,1552,1553],{"href":1553,"rel":1554},"https:\u002F\u002Fwww.usagepricing.com\u002Fblueprint\u002Faugment-code",[1540],{"title":1031,"searchDepth":1032,"depth":1032,"links":1556},[1557,1558,1559,1560,1561,1562,1563,1564,1565,1566],{"id":1094,"depth":1035,"text":1095},{"id":1108,"depth":1035,"text":1108},{"id":1141,"depth":1035,"text":1142},{"id":1264,"depth":1035,"text":1265},{"id":1310,"depth":1035,"text":1310},{"id":1338,"depth":1035,"text":1338},{"id":1443,"depth":1035,"text":1443},{"id":1478,"depth":1035,"text":1479},{"id":980,"depth":1035,"text":980},{"id":1530,"depth":1035,"text":1530},"agent","\u002Fimg\u002Ftools\u002Faugment.webp","Augment Code 真实评测：主打『Context Engine』全仓索引的 AI 编程平台。2026 改成 credit-based：Indie $20 \u002F Standard $60 \u002F Max $200 \u002F Enterprise 定制，含 IDE Agent + Auggie CLI + 异步 Cloud Agent。",false,[1572,1575,1578,1581],{"q":1573,"a":1574},"Context Engine 到底有什么不一样？","一般 IDE AI 工具的『codebase 检索』是 embedding + 几十 K 上下文塞 prompt；Augment 的 Context Engine 是把整个 monorepo 索引到自家向量 + AST 图谱，agent 调用时按需取相关代码，覆盖跨仓库引用、调用链、历史 commit。在 100w+ 行项目上，差距会非常明显。",{"q":1576,"a":1577},"credit 怎么算？","credits 按模型 + 任务规模分级：Claude Sonnet 4.6 一次中等任务约 293 credits、Opus 4.7 约 488、Haiku 4.5 约 88。Indie 40k credits 约能跑 100 次中等任务；Standard 130k\u002F席 团队池化。",{"q":1579,"a":1580},"Auggie CLI 是什么？","Augment 的命令行 agent，类似 Claude Code \u002F Codex CLI，但默认带 Context Engine——可以在 terminal 里直接『改这个 feature』，agent 自动跨仓库找上下文。",{"q":1582,"a":1583},"和 Cursor \u002F Copilot 比？","小项目 Cursor 已经够好且更便宜（$20 vs $60\u002F席）；大型 monorepo（>30 万行）、跨多仓库引用频繁的团队，Augment 的 Context Engine 优势能展现出来。Copilot Enterprise 价位接近但 context 能力差一档。",[1585],"en",{},"\u002Ftools\u002Fcoding\u002Fagent\u002Faugment","coding",[1590,1591,1592],"vscode","jetbrains","cli",[1594,1596,1599,1602],{"plan":1171,"price":1174,"seats":1180,"credits":1177,"notes":1595},"解决方案给个人开发者，每月 40K credits 池",{"plan":1190,"price":1193,"seats":1199,"credits":1597,"notes":1598},"130k\u002F席","团队池化、共享 agent、SOC 2",{"plan":1209,"price":1212,"seats":1199,"credits":1600,"notes":1601},"450k\u002F席","重度任务、async cloud agent 优先",{"plan":725,"price":1227,"seats":1232,"credits":1227,"notes":1603},"SSO\u002FSAML、审计、专属 CSM、私有部署","Indie $20·月 \u002F Standard $60·席·月 \u002F Max $200·席·月 \u002F Enterprise","2026-06-19",[1607],"refactor\u002Flarge-refactor-with-ai-agent",{"power":1609,"ux":1610,"price":1035,"cn_support":1035,"stability":1610},5,4,{"title":430,"description":1569},[1613,1616,1618],{"name":1614,"url":1538,"accessed":1615},"AgentDeals — Augment Code Pricing 2026","2026-06-24",{"name":1617,"url":1546,"accessed":1615},"CheckThat.ai — Augment Code Pricing & TCO",{"name":1619,"url":1553,"accessed":1615},"UsagePricing — Augment Code","tools\u002Fcoding\u002Fagent\u002Faugment","Context Engine 为核心：面向大型生产代码库的 AI 工程师 + Auggie CLI",[1623,1624,1625,1567,1592,1626],"enterprise","context-engine","monorepo","soc2","为『百万行 monorepo』而生的 AI 编程平台——Context Engine 真能覆盖整个仓库。小项目用不出价值，大型工程团队（>20 dev）值这个钱。","https:\u002F\u002Fwww.augmentcode.com","wt5ijf6aSyAlVjBt_XuUkiJStk5q60peszqIzBXANSw",{"id":1631,"title":1632,"alternatives":1633,"api_compatible":1089,"body":1637,"category":1567,"chinese_friendly":1610,"cover":2186,"description":2187,"domestic":1570,"extension":1065,"faq":2188,"free":1570,"github":2201,"languages":2202,"meta":2204,"models":1089,"navigation":1067,"notSuitable":1089,"opensource":1067,"path":2205,"pillar":1588,"platforms":2206,"priceTable":2207,"pricing":2221,"published":1605,"relatedPlaybooks":2222,"relatedReviews":1089,"score":2224,"self_host":1067,"seo":2225,"seoTitle":1089,"slug":1073,"sources":2226,"stem":2233,"suitable":1089,"tagline":2234,"tags":2235,"updated":1615,"verdict":2239,"website":2240,"__hash__":2241},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fcontinue.md","Continue.dev",[1087,1634,1635,1636],"coding\u002Fcli\u002Fcline","coding\u002Fcli\u002Faider","coding\u002Fcli\u002Froo-code",{"type":13,"value":1638,"toc":2174},[1639,1641,1644,1655,1657,1660,1693,1700,1704,1766,1769,1772,1777,1798,1802,1819,1821,1957,1959,2066,2068,2102,2104,2121,2123,2145,2147,2170],[16,1640,1095],{"id":1094},[20,1642,1643],{},"Continue 是开源（Apache 2.0）的 VS Code \u002F JetBrains AI 编程扩展，定位是「开源版 Cursor」——四模式（Autocomplete \u002F Edit \u002F Chat \u002F Agent），任意 LLM BYOK，可本地、可自托管、可走 Hub 云服务。",[20,1645,1646,1647,1650,1651,1654],{},"2026 年的剧情转折：",[24,1648,1649],{},"2026 年初被 Cursor 收购","，官网公告里 Continue 团队加入 Cursor。好消息是 GitHub 开源仓库（32k+ stars）继续维护，扩展继续可用；坏消息是商业 Hub 服务由 Cursor 接管，长期产品方向不确定。",[24,1652,1653],{},"短期内开源版仍是 BYOK \u002F 自托管的最佳选择","。",[16,1656,1108],{"id":1108},[20,1658,1659],{},"Continue 不抢 Cursor 的 IDE fork 路线，而是做「装在原版 VS Code \u002F JetBrains 里的扩展」。安装后获得：",[116,1661,1662,1668,1674,1687],{},[119,1663,1664,1667],{},[24,1665,1666],{},"Autocomplete","：行内 ghost text 补全（轻量模型如 DeepSeek Coder、Qwen Coder）",[119,1669,1670,1673],{},[24,1671,1672],{},"Edit","：选中代码 → 自然语言指令 → 替换",[119,1675,1676,1679,1680,925,1683,1686],{},[24,1677,1678],{},"Chat","：侧边栏对话，带 ",[1332,1681,1682],{},"@file",[1332,1684,1685],{},"@codebase"," 上下文",[119,1688,1689,1692],{},[24,1690,1691],{},"Agent","：通过 MCP 连外部工具，能跑命令 \u002F 读 DB \u002F 调 API",[20,1694,1695,1696,1699],{},"最大卖点是",[24,1697,1698],{},"完全开放","：模型\u002FProvider\u002FEmbedding\u002FReranker 都能换。VS Code Marketplace 装机量 2.5M+，GitHub 32k+ stars，活跃社区。",[16,1701,1703],{"id":1702},"价格2026-年-6-月","价格（2026 年 6 月）",[161,1705,1706,1719],{},[164,1707,1708],{},[167,1709,1710,1713,1716],{},[170,1711,1712],{},"路径",[170,1714,1715],{},"成本",[170,1717,1718],{},"适合",[180,1720,1721,1734,1745,1756],{},[167,1722,1723,1728,1731],{},[185,1724,1725],{},[24,1726,1727],{},"OSS + BYOK 自托管",[185,1729,1730],{},"$0 + LLM API 自付",[185,1732,1733],{},"个人、隐私敏感、合规场景",[167,1735,1736,1739,1742],{},[185,1737,1738],{},"Hub Starter",[185,1740,1741],{},"$3 \u002F M tokens（PAYG）",[185,1743,1744],{},"不想自己管 key 的轻度用户",[167,1746,1747,1750,1753],{},[185,1748,1749],{},"Hub Team",[185,1751,1752],{},"$20\u002F席\u002F月（含 $10 credits）",[185,1754,1755],{},"小团队、需私有 agent",[167,1757,1758,1761,1763],{},[185,1759,1760],{},"Hub Company",[185,1762,1227],{},[185,1764,1765],{},"企业、BYOK + SSO",[20,1767,1768],{},"实际单月成本估算（重度个人用户走 BYOK + DeepSeek V3）：API 费约 $5–$15\u002F月，比 Cursor Pro $20 便宜，但需要自己充值 + 配 endpoint。",[16,1770,1771],{"id":1771},"实测",[20,1773,1774,1271],{},[24,1775,1776],{},"好的地方",[116,1778,1779,1782,1785,1788,1795],{},[119,1780,1781],{},"BYOK 灵活：白天用 Claude 3.5 干活、晚上切 DeepSeek 省钱、Sensitive 项目走 Ollama 本地",[119,1783,1784],{},"VS Code \u002F JetBrains 原生扩展，不用换 IDE",[119,1786,1787],{},"MCP agent 模式可定制——接自家内部 API 当 tool",[119,1789,1790,1791,1794],{},"配置走 ",[1332,1792,1793],{},"config.json","，纯文本 + 可 git 管理 \u002F 团队共享",[119,1796,1797],{},"国内可直连 DeepSeek \u002F 通义 \u002F Kimi \u002F GLM endpoint，无墙",[20,1799,1800,1271],{},[24,1801,1290],{},[116,1803,1804,1807,1810,1813,1816],{},[119,1805,1806],{},"默认配置门槛：BYOK 第一次配 5+ 个字段（model \u002F provider \u002F api_base \u002F context length）",[119,1808,1809],{},"Autocomplete 延迟比 Cursor 高（取决于你选的模型 \u002F endpoint 距离）",[119,1811,1812],{},"被 Cursor 收购后，新功能节奏明显放缓",[119,1814,1815],{},"Agent 模式（MCP）配置文档零散，需要踩坑",[119,1817,1818],{},"嵌入式 Web preview \u002F 内置 diff UI 不如 Cursor 精致",[16,1820,1310],{"id":1310},[290,1822,1823,1826,1934,1941,1954],{},[119,1824,1825],{},"VS Code → 装 \"Continue\" 扩展（或 JetBrains plugin）",[119,1827,1828,1829,1832,1833],{},"编辑 ",[1332,1830,1831],{},"~\u002F.continue\u002Fconfig.json"," 配 model：\n",[1834,1835,1839],"pre",{"className":1836,"code":1837,"language":1838,"meta":1031,"style":1031},"language-json shiki shiki-themes github-light github-dark","{\n  \"models\": [{\n    \"title\": \"DeepSeek V3\",\n    \"provider\": \"openai\",\n    \"model\": \"deepseek-chat\",\n    \"apiBase\": \"https:\u002F\u002Fapi.deepseek.com\u002Fv1\",\n    \"apiKey\": \"sk-xxx\"\n  }]\n}\n","json",[1332,1840,1841,1850,1859,1874,1886,1898,1911,1922,1928],{"__ignoreMap":1031},[1842,1843,1846],"span",{"class":1844,"line":1845},"line",1,[1842,1847,1849],{"class":1848},"sVt8B","{\n",[1842,1851,1852,1856],{"class":1844,"line":1035},[1842,1853,1855],{"class":1854},"sj4cs","  \"models\"",[1842,1857,1858],{"class":1848},": [{\n",[1842,1860,1861,1864,1867,1871],{"class":1844,"line":1032},[1842,1862,1863],{"class":1854},"    \"title\"",[1842,1865,1866],{"class":1848},": ",[1842,1868,1870],{"class":1869},"sZZnC","\"DeepSeek V3\"",[1842,1872,1873],{"class":1848},",\n",[1842,1875,1876,1879,1881,1884],{"class":1844,"line":1610},[1842,1877,1878],{"class":1854},"    \"provider\"",[1842,1880,1866],{"class":1848},[1842,1882,1883],{"class":1869},"\"openai\"",[1842,1885,1873],{"class":1848},[1842,1887,1888,1891,1893,1896],{"class":1844,"line":1609},[1842,1889,1890],{"class":1854},"    \"model\"",[1842,1892,1866],{"class":1848},[1842,1894,1895],{"class":1869},"\"deepseek-chat\"",[1842,1897,1873],{"class":1848},[1842,1899,1901,1904,1906,1909],{"class":1844,"line":1900},6,[1842,1902,1903],{"class":1854},"    \"apiBase\"",[1842,1905,1866],{"class":1848},[1842,1907,1908],{"class":1869},"\"https:\u002F\u002Fapi.deepseek.com\u002Fv1\"",[1842,1910,1873],{"class":1848},[1842,1912,1914,1917,1919],{"class":1844,"line":1913},7,[1842,1915,1916],{"class":1854},"    \"apiKey\"",[1842,1918,1866],{"class":1848},[1842,1920,1921],{"class":1869},"\"sk-xxx\"\n",[1842,1923,1925],{"class":1844,"line":1924},8,[1842,1926,1927],{"class":1848},"  }]\n",[1842,1929,1931],{"class":1844,"line":1930},9,[1842,1932,1933],{"class":1848},"}\n",[119,1935,1936,1937,1940],{},"配 ",[1332,1938,1939],{},"tabAutocompleteModel","（推荐 DeepSeek Coder 或 Qwen Coder）",[119,1942,1943,1946,1947,1950,1951,1953],{},[1332,1944,1945],{},"Ctrl+I"," Edit、",[1332,1948,1949],{},"Ctrl+L"," Chat、",[1332,1952,1685],{}," 全库检索",[119,1955,1956],{},"进阶：装 MCP server（filesystem、postgres、github）让 Agent 用",[16,1958,1338],{"id":1338},[161,1960,1961,1975],{},[164,1962,1963],{},[167,1964,1965,1967,1969,1971,1973],{},[170,1966,172],{},[170,1968,558],{},[170,1970,48],{},[170,1972,43],{},[170,1974,929],{},[180,1976,1977,1994,2007,2021,2038,2052],{},[167,1978,1979,1982,1985,1988,1991],{},[185,1980,1981],{},"形态",[185,1983,1984],{},"VS Code\u002FJB 扩展",[185,1986,1987],{},"IDE fork",[185,1989,1990],{},"VS Code 扩展",[185,1992,1993],{},"CLI",[167,1995,1996,1998,2001,2003,2005],{},[185,1997,576],{},[185,1999,2000],{},"Apache 2.0 ✅",[185,2002,1407],{},[185,2004,2000],{},[185,2006,1401],{},[167,2008,2009,2012,2015,2017,2019],{},[185,2010,2011],{},"BYOK",[185,2013,2014],{},"任意模型",[185,2016,1404],{},[185,2018,2014],{},[185,2020,2014],{},[167,2022,2023,2026,2029,2032,2035],{},[185,2024,2025],{},"主要模式",[185,2027,2028],{},"Autocomplete + Chat + Agent",[185,2030,2031],{},"全套",[185,2033,2034],{},"Agent 为主",[185,2036,2037],{},"CLI Edit",[167,2039,2040,2042,2045,2048,2050],{},[185,2041,780],{},[185,2043,2044],{},"$0 + API",[185,2046,2047],{},"$20+",[185,2049,2044],{},[185,2051,2044],{},[167,2053,2054,2057,2060,2062,2064],{},[185,2055,2056],{},"中文友好",[185,2058,2059],{},"4\u002F5",[185,2061,1436],{},[185,2063,2059],{},[185,2065,1436],{},[16,2067,1443],{"id":1443},[116,2069,2070,2076,2082,2090,2096],{},[119,2071,2072,2075],{},[24,2073,2074],{},"被收购焦虑","：Hub 服务可能停 \u002F 变价，BYOK + 本地配置可移植性最好，重要项目都走自配",[119,2077,2078,2081],{},[24,2079,2080],{},"Autocomplete 模型不要贪大","：用 70B+ 模型会卡得没法用，专门的代码补全小模型（DeepSeek Coder 6.7B \u002F Qwen Coder 7B）才合理",[119,2083,2084,2089],{},[24,2085,2086,2088],{},[1332,2087,1685],{}," 要先建索引","：大仓库第一次跑可能要数分钟做 embedding，配好后增量更新",[119,2091,2092,2095],{},[24,2093,2094],{},"MCP server 慎装","：第三方 MCP 等于给 LLM 一把 shell 钥匙，先看代码再启用",[119,2097,2098,2101],{},[24,2099,2100],{},"config.json 入版本控制","：团队统一配置避免「我电脑能用你电脑不能用」",[16,2103,1479],{"id":1478},[116,2105,2106,2109,2112,2115,2118],{},[119,2107,2108],{},"✅ 想要 Cursor 体验但坚持开源 \u002F BYOK 的开发者",[119,2110,2111],{},"✅ 合规 \u002F 隐私敏感场景（本地 Ollama 推理）",[119,2113,2114],{},"✅ 国内开发者（直连 DeepSeek \u002F 通义不被墙）",[119,2116,2117],{},"❌ 嫌配置麻烦、想开箱即用 → 选 Cursor",[119,2119,2120],{},"❌ 需要完整 IDE 体验（多窗口、文件树、Composer 全套）→ 选 Cursor",[16,2122,980],{"id":980},[116,2124,2125,2129,2133,2139],{},[119,2126,2127],{},[40,2128,1515],{"href":1514},[119,2130,2131],{},[40,2132,1527],{"href":1526},[119,2134,2135],{},[40,2136,2138],{"href":2137},"\u002Ftools\u002Fcoding\u002Fcli\u002Faider","Aider 评测",[119,2140,2141],{},[40,2142,2144],{"href":2143},"\u002Ftools\u002Fcoding\u002Fcli\u002Froo-code","Roo Code 评测",[16,2146,1530],{"id":1530},[290,2148,2149,2156,2163],{},[119,2150,2151,2152],{},"Continue.dev 官方 pricing 页（含 Cursor 收购公告）",[40,2153,2154],{"href":2154,"rel":2155},"https:\u002F\u002Fwww.continue.dev\u002Fpricing",[1540],[119,2157,2158,2159],{},"Milestone — Continue.dev features & pricing（2026-04-21）",[40,2160,2161],{"href":2161,"rel":2162},"https:\u002F\u002Fmstone.ai\u002Ftools-wizard\u002Fcontinue-dev-features-pricing",[1540],[119,2164,2165,2166],{},"AIProductivity — Continue Pricing 2026 ",[40,2167,2168],{"href":2168,"rel":2169},"https:\u002F\u002Faiproductivity.ai\u002Fpricing\u002Fcontinue\u002F",[1540],[2171,2172,2173],"style",{},"html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":1031,"searchDepth":1032,"depth":1032,"links":2175},[2176,2177,2178,2179,2180,2181,2182,2183,2184,2185],{"id":1094,"depth":1035,"text":1095},{"id":1108,"depth":1035,"text":1108},{"id":1702,"depth":1035,"text":1703},{"id":1771,"depth":1035,"text":1771},{"id":1310,"depth":1035,"text":1310},{"id":1338,"depth":1035,"text":1338},{"id":1443,"depth":1035,"text":1443},{"id":1478,"depth":1035,"text":1479},{"id":980,"depth":1035,"text":980},{"id":1530,"depth":1035,"text":1530},"\u002Fimg\u002Ftools\u002Fcontinue.webp","Continue.dev 真实评测：VS Code \u002F JetBrains 开源 AI 助手，支持 Autocomplete \u002F Edit \u002F Chat \u002F Agent 四模式，Apache 2.0，BYOK 接任意模型。2026 年初被 Cursor 收购，开源仓库继续维护。",[2189,2192,2195,2198],{"q":2190,"a":2191},"Continue 被 Cursor 收购后还能用吗？","能。开源仓库（Apache 2.0）继续在 GitHub 维护，VS Code \u002F JetBrains 扩展可正常装。Hub 订阅和云端服务由 Cursor 接管，但 BYOK + 本地 \u002F 自托管模式不受影响。",{"q":2193,"a":2194},"和 Cursor 区别？","Cursor 是闭源 IDE fork，体验更精致但锁定；Continue 是开源扩展，装在原版 VS Code \u002F JetBrains，可换任意模型（OpenAI\u002FAnthropic\u002FGemini\u002FOllama\u002F本地）。被收购后两者会逐渐互补——Continue 走开源扩展路线，Cursor 走 IDE 路线。",{"q":2196,"a":2197},"支持哪些模型？","OpenAI、Anthropic、Gemini、xAI、AWS Bedrock、Azure、Ollama（本地）、LM Studio、任何 OpenAI 兼容 endpoint。国内可直连 DeepSeek、通义、Kimi、GLM。",{"q":2199,"a":2200},"Agent 模式能干什么？","通过 MCP（Model Context Protocol）连接外部工具——读文件、跑命令、查数据库、调 API。和 Claude Code 的 tool use 一个思路，但你能自己接 MCP server。","https:\u002F\u002Fgithub.com\u002Fcontinuedev\u002Fcontinue",[2203,1585],"zh",{},"\u002Ftools\u002Fcoding\u002Fagent\u002Fcontinue",[1590,1591,1592],[2208,2212,2215,2219],{"plan":2209,"price":700,"seats":2210,"notes":2211},"OSS 自托管","—","BYOK，自付 LLM API 费，Apache 2.0",{"plan":1738,"price":2213,"seats":1180,"notes":2214},"$3\u002FM tokens","PAYG，托管模型 + 共享 agent",{"plan":1749,"price":2216,"seats":2217,"notes":2218},"$20\u002F席\u002F月","≥2","$10 credits\u002F席、SSO、私有 agent",{"plan":1760,"price":1227,"seats":2210,"notes":2220},"BYOK、SAML、enterprise 支持","开源免费 BYOK \u002F Hub Starter $3·M tokens \u002F Team $20·席·月 \u002F Company 定制",[2223],"onboarding\u002Fcursor-mcp-database",{"power":1610,"ux":1610,"price":1609,"cn_support":1610,"stability":1610},{"title":1632,"description":2187},[2227,2229,2231],{"name":2228,"url":2154,"accessed":1615},"Continue.dev 官方 pricing 页（收购公告）",{"name":2230,"url":2161,"accessed":1615},"Milestone — Continue.dev features & pricing",{"name":2232,"url":2168,"accessed":1615},"AIProductivity — Continue Pricing 2026","tools\u002Fcoding\u002Fagent\u002Fcontinue","开源 AI 编程扩展，Apache 2.0 + 多模型 BYOK；2026 已被 Cursor 收购",[2236,2237,1590,1591,1567,2238],"opensource","byok","extension","想要 Cursor 体验但不被锁定的开发者首选——Apache 2.0 + 任意模型 + 自托管。被 Cursor 收购后，开源仓库还在，社区版长期可用。","https:\u002F\u002Fwww.continue.dev","HFayP1jYJUXwleyIcWMDBBh4aUKH7mvATdT4Kp8uFZw",{"id":2243,"title":433,"alternatives":2244,"api_compatible":1089,"body":2247,"category":1567,"chinese_friendly":1035,"cover":2709,"description":2710,"domestic":1570,"extension":1065,"faq":2711,"free":1570,"github":1089,"languages":2724,"meta":2725,"models":1089,"navigation":1067,"notSuitable":1089,"opensource":1570,"path":2726,"pillar":1588,"platforms":2727,"priceTable":2730,"pricing":2740,"published":1605,"relatedPlaybooks":2741,"relatedReviews":1089,"score":2743,"self_host":1570,"seo":2744,"seoTitle":1089,"slug":1072,"sources":2745,"stem":2754,"suitable":1089,"tagline":2755,"tags":2756,"updated":1615,"verdict":2760,"website":2761,"__hash__":2762},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fdevin.md",[2245,2246,1088],"coding\u002Fagent\u002Fopenhands","agent\u002Fgeneral\u002Fmanus",{"type":13,"value":2248,"toc":2697},[2249,2251,2254,2257,2259,2262,2286,2289,2293,2298,2368,2373,2425,2428,2430,2434,2448,2452,2469,2471,2488,2490,2590,2592,2623,2625,2642,2644,2665,2667],[16,2250,1095],{"id":1094},[20,2252,2253],{},"Devin 是 Cognition Labs 推出的「自主 AI 软件工程师」。2024-03 首发时 $500\u002F月 + 引爆全网，2025-04 Devin 2.0 把入门价砍到 $20\u002F月（按 ACU 计费），2026 年又通过收购 Windsurf 扩张到桌面端。它的核心定位不是 copilot，而是「异步 agent」——把任务扔进去，它在云沙箱里独立 plan → code → test → PR，你第二天来看结果。",[20,2255,2256],{},"适合：有明确边界的工程任务（重构、bug fix、新 feature），不需要全程盯着的团队。不适合：交互式探索、紧急 hotfix、中文项目、超预算敏感的个人。",[16,2258,1108],{"id":1108},[20,2260,2261],{},"Devin 不在你电脑上跑——它有自己的云端 IDE + shell + 浏览器，等于一台 7×24 在线的远程开发机。给它一个 issue（GitHub \u002F Linear \u002F Slack 都行），它会：",[290,2263,2264,2271,2277,2280,2283],{},[119,2265,2266,2267,2270],{},"进 sandbox、",[1332,2268,2269],{},"git clone"," 仓库、看 README、构建 Devin Wiki",[119,2272,2273,2276],{},[24,2274,2275],{},"Interactive Planning","：跟你确认实现方案",[119,2278,2279],{},"写代码、跑测试、调浏览器看结果",[119,2281,2282],{},"失败自己排查、改、再试（带 citations 引用代码行）",[119,2284,2285],{},"提 PR、回 Slack「搞定」",[20,2287,2288],{},"主打 Cloud + Async + 多并发：Core 最多 10 个 Devin 同时跑不同任务，Team 起无限并发。",[16,2290,2292],{"id":2291},"价格2026-06-综合官方-第三方追踪","价格（2026-06 综合官方 + 第三方追踪）",[20,2294,2295],{},[24,2296,2297],{},"Cloud Devin（按 ACU 计费）",[161,2299,2300,2318],{},[164,2301,2302],{},[167,2303,2304,2306,2309,2312,2315],{},[170,2305,1151],{},[170,2307,2308],{},"月费",[170,2310,2311],{},"ACU 价",[170,2313,2314],{},"并发",[170,2316,2317],{},"关键能力",[180,2319,2320,2339,2355],{},[167,2321,2322,2327,2330,2333,2336],{},[185,2323,2324],{},[24,2325,2326],{},"Core",[185,2328,2329],{},"$20 起步（PAYG）",[185,2331,2332],{},"$2.25\u002FACU",[185,2334,2335],{},"10",[185,2337,2338],{},"Devin IDE、Ask Devin、Wiki",[167,2340,2341,2344,2347,2350,2352],{},[185,2342,2343],{},"Team",[185,2345,2346],{},"$500 含 250 ACU",[185,2348,2349],{},"$2\u002FACU（含内）",[185,2351,1232],{},[185,2353,2354],{},"API、专属 Slack 频道、early access",[167,2356,2357,2359,2361,2363,2365],{},[185,2358,725],{},[185,2360,1227],{},[185,2362,1227],{},[185,2364,1232],{},[185,2366,2367],{},"VPC、SSO、Custom Devins",[20,2369,2370],{},[24,2371,2372],{},"Devin Desktop（2026-06 Windsurf 改名后）",[161,2374,2375,2385],{},[164,2376,2377],{},[167,2378,2379,2381,2383],{},[170,2380,1151],{},[170,2382,506],{},[170,2384,1162],{},[180,2386,2387,2396,2404,2414],{},[167,2388,2389,2391,2393],{},[185,2390,697],{},[185,2392,700],{},[185,2394,2395],{},"轻量配额",[167,2397,2398,2400,2402],{},[185,2399,711],{},[185,2401,1174],{},[185,2403,1183],{},[167,2405,2406,2408,2411],{},[185,2407,1209],{},[185,2409,2410],{},"$200\u002F月",[185,2412,2413],{},"重度用户",[167,2415,2416,2419,2422],{},[185,2417,2418],{},"Teams",[185,2420,2421],{},"$80\u002F月 + $40\u002F席",[185,2423,2424],{},"团队",[20,2426,2427],{},"ACU 经济账：1 ACU = 15 分钟 Devin 主动工作。一个中等任务（小 feature\u002F简单 bug）约消耗 0.5–1.5 ACU ≈ $1.13–$3.38。一个复杂 task（跨文件重构 + 测试）2–4 ACU ≈ $5–$10。",[16,2429,1771],{"id":1771},[20,2431,2432,1271],{},[24,2433,1776],{},[116,2435,2436,2439,2442,2445],{},[119,2437,2438],{},"单次任务交付质量稳定——比早期 demo 时代靠谱多了",[119,2440,2441],{},"Devin Wiki 自动生成的代码库地图很有用",[119,2443,2444],{},"多并发：开 5 个 Devin 同时干 5 个独立 bug，效率拉满",[119,2446,2447],{},"Interactive Planning 让你能纠偏，不会写到一半发现方向错",[20,2449,2450,1271],{},[24,2451,1290],{},[116,2453,2454,2457,2460,2463,2466],{},[119,2455,2456],{},"ACU 烧得快——一次 Devin 跑歪 + 自我修复循环可能 2-3 ACU 没了",[119,2458,2459],{},"中文几乎不能用——Cognition 没做本地化，prompt 中文也回英文",[119,2461,2462],{},"国内开发者用：网络 + 价格 + 中文三重劝退，建议看 OpenHands \u002F Manus",[119,2464,2465],{},"复杂上下文（10w 行老代码）依然容易迷失，需要人辅助拆任务",[119,2467,2468],{},"Free trial 没有，最低要先付 $20 才能试",[16,2470,1310],{"id":1310},[290,2472,2473,2476,2479,2482,2485],{},[119,2474,2475],{},"devin.ai 注册（GitHub OAuth），充值 $20 拿到 9 ACU",[119,2477,2478],{},"连接 GitHub repo + 选触发方式（Linear\u002FSlack\u002FWeb）",[119,2480,2481],{},"给一个 issue + 验收标准（越具体越省 ACU）",[119,2483,2484],{},"Interactive Planning：审一遍方案",[119,2486,2487],{},"Devin 自动跑、PR 自动开、等 review",[16,2489,1338],{"id":1338},[161,2491,2492,2508],{},[164,2493,2494],{},[167,2495,2496,2498,2500,2503,2506],{},[170,2497,172],{},[170,2499,433],{},[170,2501,2502],{},"OpenHands",[170,2504,2505],{},"Manus",[170,2507,1357],{},[180,2509,2510,2526,2543,2558,2574],{},[167,2511,2512,2514,2517,2520,2523],{},[185,2513,783],{},[185,2515,2516],{},"异步 Cloud Agent",[185,2518,2519],{},"自托管 \u002F Cloud",[185,2521,2522],{},"异步 Cloud",[185,2524,2525],{},"同步 CLI",[167,2527,2528,2531,2534,2537,2540],{},[185,2529,2530],{},"起步价",[185,2532,2533],{},"$20 + ACU",[185,2535,2536],{},"免费（开源）",[185,2538,2539],{},"$39\u002F月",[185,2541,2542],{},"Pro $20\u002F月",[167,2544,2545,2547,2550,2553,2556],{},[185,2546,2314],{},[185,2548,2549],{},"10–∞",[185,2551,2552],{},"自托管无限",[185,2554,2555],{},"5+",[185,2557,1180],{},[167,2559,2560,2562,2565,2568,2571],{},[185,2561,1430],{},[185,2563,2564],{},"弱",[185,2566,2567],{},"强（社区维护）",[185,2569,2570],{},"强（国产）",[185,2572,2573],{},"中",[167,2575,2576,2579,2582,2585,2587],{},[185,2577,2578],{},"沙箱",[185,2580,2581],{},"内置云端",[185,2583,2584],{},"Docker \u002F Cloud",[185,2586,2581],{},[185,2588,2589],{},"本地",[16,2591,1443],{"id":1443},[116,2593,2594,2600,2606,2612,2618],{},[119,2595,2596,2599],{},[24,2597,2598],{},"不要不写验收标准就丢任务","：Devin 会尽职跑，但跑到哪里算「完成」很主观，写明「跑通这个测试」「PR 必须含 changelog」",[119,2601,2602,2605],{},[24,2603,2604],{},"新项目 \u002F 老项目都要先 Wiki","：让它先生成 Devin Wiki，后续任务上下文准很多",[119,2607,2608,2611],{},[24,2609,2610],{},"ACU 监控要开","：仪表盘里设单任务 ACU 上限，避免 runaway",[119,2613,2614,2617],{},[24,2615,2616],{},"PR 必须 review","：Devin 偶尔会引入安全问题（hardcode key、删测试）",[119,2619,2620,2622],{},[24,2621,1468],{},"：网络、定价、语言成本叠加后，单位产出 ROI 不一定胜过 Cursor + Claude",[16,2624,1479],{"id":1478},[116,2626,2627,2630,2633,2636,2639],{},[119,2628,2629],{},"✅ 海外团队、英文项目、批量化的中小 task",[119,2631,2632],{},"✅ 想做「夜跑 agent」流水线的工程团队",[119,2634,2635],{},"❌ 中文项目、国内个人开发者",[119,2637,2638],{},"❌ 预算敏感（同样钱可以买 4 个 Cursor 席位）",[119,2640,2641],{},"❌ 需要实时协作 \u002F 紧急 hotfix",[16,2643,980],{"id":980},[116,2645,2646,2653,2660],{},[119,2647,2648,2652],{},[40,2649,2651],{"href":2650},"\u002Ftools\u002Fcoding\u002Fagent\u002Fopenhands","OpenHands 评测","（Devin 的开源平替）",[119,2654,2655,2659],{},[40,2656,2658],{"href":2657},"\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus","Manus 评测","（国产 cloud agent）",[119,2661,2662,2664],{},[40,2663,1521],{"href":1520},"（同步替代方案）",[16,2666,1530],{"id":1530},[290,2668,2669,2676,2683,2690],{},[119,2670,2671,2672],{},"SiliconAngle — Devin 2.0 with lower starting price（2025-04-03）",[40,2673,2674],{"href":2674,"rel":2675},"https:\u002F\u002Fsiliconangle.com\u002F2025\u002F04\u002F03\u002Fcognition-ai-launches-revamped-coding-assistant-devin-2-0-much-lower-starting-price",[1540],[119,2677,2678,2679],{},"CostBench — Devin AI Pricing 2026（2026-05-04）",[40,2680,2681],{"href":2681,"rel":2682},"https:\u002F\u002Fcostbench.com\u002Fsoftware\u002Fai-coding-assistants\u002Fdevin-ai\u002F",[1540],[119,2684,2685,2686],{},"eesel — Cognition AI Pricing Explained ",[40,2687,2688],{"href":2688,"rel":2689},"https:\u002F\u002Fwww.eesel.ai\u002Fblog\u002Fcognition-ai-pricing",[1540],[119,2691,2692,2693],{},"Vibe Coding — Devin Review 2026 \u002F Windsurf rebrand ",[40,2694,2695],{"href":2695,"rel":2696},"https:\u002F\u002Fvibecoding.app\u002Fblog\u002Fdevin-review",[1540],{"title":1031,"searchDepth":1032,"depth":1032,"links":2698},[2699,2700,2701,2702,2703,2704,2705,2706,2707,2708],{"id":1094,"depth":1035,"text":1095},{"id":1108,"depth":1035,"text":1108},{"id":2291,"depth":1035,"text":2292},{"id":1771,"depth":1035,"text":1771},{"id":1310,"depth":1035,"text":1310},{"id":1338,"depth":1035,"text":1338},{"id":1443,"depth":1035,"text":1443},{"id":1478,"depth":1035,"text":1479},{"id":980,"depth":1035,"text":980},{"id":1530,"depth":1035,"text":1530},"\u002Fimg\u002Ftools\u002Fdevin.webp","Devin 真实评测：Cognition Labs 的自主编程 Agent。Core $20\u002F月 + $2.25\u002FACU（1 ACU ≈ 15 分钟），Team $500\u002F月含 250 ACUs。2026 收购 Windsurf 后产品线扩张到 Desktop Free\u002FPro\u002FMax。",[2712,2715,2718,2721],{"q":2713,"a":2714},"1 ACU 等于多少？","1 ACU ≈ Devin 主动工作 15 分钟。Core 单价 $2.25\u002FACU，Team 单价 $2\u002FACU。换算下来 Devin 主动小时成本约 $8–$9，确实接近 Upwork 入门级海外开发者，但能 7×24 工作。",{"q":2716,"a":2717},"Devin 和 Cursor \u002F Claude Code 区别？","Cursor \u002F Claude Code 是『陪你写』的 copilot，Devin 是『代你写』的 async agent——你给任务、它在云沙箱里独立完成、返回 PR。前者实时同步，后者异步交付。",{"q":2719,"a":2720},"2026 年 Devin \u002F Windsurf 关系？","Cognition 收购了 Windsurf 资产（前 Codeium），2026-06 后 Devin Desktop 取代 Windsurf IDE，新增 Free \u002F Pro $20\u002FMax $200 桌面端订阅，Cloud 版（Core\u002FTeam\u002FEnterprise）保留 ACU 计费。",{"q":2722,"a":2723},"Devin 能跑国内项目吗？","技术上可以——它在云沙箱跑 Linux 命令、git、浏览器。但默认走美国节点，访问国内 git\u002Fnpm 镜像慢，且不支持中文 prompt（会回英文）。国内团队建议看 OpenHands 自托管或 Manus。",[1585],{},"\u002Ftools\u002Fcoding\u002Fagent\u002Fdevin",[2728,2729],"cloud","desktop",[2731,2735,2738],{"plan":2732,"price":2733,"seats":1180,"notes":2734},"Core (PAYG)","$20\u002F月起","Pay-as-you-go，$2.25\u002FACU，最多 10 并发会话",{"plan":2343,"price":512,"seats":2736,"notes":2737},"≥1","含 250 ACUs（$2\u002FACU 实际单价）、无限并发、Slack 专属频道",{"plan":725,"price":1227,"seats":2210,"notes":2739},"VPC 部署、SAML\u002FOIDC SSO、Custom Devins","Core $20·月 起按 ACU \u002F Team $500·月含 250 ACU \u002F Enterprise 定制",[2742],"review\u002Fai-pr-review-pipeline",{"power":1609,"ux":1610,"price":1035,"cn_support":1035,"stability":1610},{"title":433,"description":2710},[2746,2748,2750,2752],{"name":2747,"url":2674,"accessed":1615},"SiliconAngle — Devin 2.0 launch",{"name":2749,"url":2681,"accessed":1615},"CostBench — Devin AI Pricing 2026",{"name":2751,"url":2688,"accessed":1615},"eesel — Cognition AI Pricing",{"name":2753,"url":2695,"accessed":1615},"Vibe Coding — Devin Review 2026 (Windsurf rebrand)","tools\u002Fcoding\u002Fagent\u002Fdevin","Cognition 出品的自主 AI 软件工程师，ACU 计费，2026 已并入 Windsurf 阵营",[1567,2757,2728,2758,2759],"autonomous","ACU","async","AI 自主编程的开山旗手，2026 价格从 $500 起跳降到 $20 起步。ACU 计费让成本可预算化，但单 ACU $2.25 仍是同类最贵，适合『把任务扔进去、明天看 PR』的异步开发模式。","https:\u002F\u002Fdevin.ai","2LWtPlU6rl900KuNKzwbA33IH5ID0oLM8C2Yfn8Fnws",1783173060682]