[{"data":1,"prerenderedAt":394},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"wiki-agentic-coding":9},{"tools":4,"reviews":5},78,26,{"tools":4,"reviews":5,"playbooks":7,"news":8},22,24,{"id":10,"title":11,"body":12,"category":371,"cover":372,"description":355,"extension":373,"lastVerified":372,"meta":374,"navigation":375,"path":376,"published":377,"relatedModels":378,"relatedTools":380,"seo":385,"slug":386,"stem":387,"summary":388,"tags":389,"updated":377,"__hash__":393},"wiki\u002Fwiki\u002Fagentic-coding.md","Agentic Coding（智能体编程）",{"type":13,"value":14,"toc":354},"minimark",[15,20,31,34,96,103,106,158,161,166,174,178,181,185,188,194,198,205,234,237,246,249,261,264,310,313],[16,17,19],"h2",{"id":18},"什么是-agentic-coding","什么是 Agentic Coding",[21,22,23,26,27,30],"p",{},[24,25,11],"strong",{}," 指的是：AI 编程助手不再只是\"补全下一行\"或\"回答一个问题\"，而是",[24,28,29],{},"自主拥有一个编程任务","——它自己读代码、做计划、改多个文件、跑测试、提交 commit，遇到错误自己修，全程不需要你在每一步点\"同意\"。",[21,32,33],{},"它和早期 AI 编程的根本区别：",[35,36,37,53],"table",{},[38,39,40],"thead",{},[41,42,43,47,50],"tr",{},[44,45,46],"th",{},"形态",[44,48,49],{},"开发者角色",[44,51,52],{},"AI 行为",[54,55,56,68,79],"tbody",{},[41,57,58,62,65],{},[59,60,61],"td",{},"代码补全（Copilot 1.0 时代）",[59,63,64],{},"写代码",[59,66,67],{},"猜下一行 \u002F 下一个函数",[41,69,70,73,76],{},[59,71,72],{},"对话编程（ChatGPT 写片段）",[59,74,75],{},"拷代码进项目",[59,77,78],{},"回答单轮提问",[41,80,81,86,91],{},[59,82,83],{},[24,84,85],{},"Agentic Coding",[59,87,88],{},[24,89,90],{},"提需求 + 审结果",[59,92,93],{},[24,94,95],{},"规划→执行→验证→迭代，闭环自主跑",[21,97,98,99,102],{},"一句话概括 2026 年的开发者新日常：",[24,100,101],{},"你的工作从\"写代码\"变成\"描述问题、审查结果\"","。",[16,104,105],{"id":105},"代表工具与形态",[107,108,109,125,134,143,152],"ul",{},[110,111,112,119,120,124],"li",{},[24,113,114],{},[115,116,118],"a",{"href":117},"\u002Fcoding\u002Fcli\u002Fclaude-code.html","Claude Code","：终端原生 Agent，长任务最稳，子代理 + ",[121,122,123],"code",{},"\u002Fcompact"," 上下文管理是标配；",[110,126,127,133],{},[24,128,129],{},[115,130,132],{"href":131},"\u002Fcoding\u002Fcli\u002Fcodex.html","OpenAI Codex CLI","：云端 agent 跑长任务，2026 年 7 月加了 writes 审批模式与交互式 MCP 认证；",[110,135,136,142],{},[24,137,138],{},[115,139,141],{"href":140},"\u002Fcoding\u002Fide\u002Fcursor.html","Cursor","：AI-first IDE，Agents Window 把多 agent 工作流做成可管理界面（Cursor 3.0）；",[110,144,145,151],{},[24,146,147],{},[115,148,150],{"href":149},"\u002Fcoding\u002Fagent\u002Fdevin.html","Devin","：职业 AI 程序员，给 issue 就能交付 PR；Windsurf 被 Cognition 收购后亦并入 Devin Desktop；",[110,153,154,157],{},[24,155,156],{},"OpenHands \u002F Jules \u002F 通义灵码 \u002F Trae","：各有 agent 模式，深度不一。",[16,159,160],{"id":160},"三种主流流派",[162,163,165],"h3",{"id":164},"_1-vibe-coding探索期","1. Vibe Coding（探索期）",[21,167,168,169,173],{},"自然语言对话、跟着感觉走，适合原型与玩具项目。详见 ",[115,170,172],{"href":171},"\u002Fwiki\u002Fvibe-coding.html","Vibe Coding","。缺点是缺少质量门，直接上生产易翻车。",[162,175,177],{"id":176},"_2-agentic-coding执行期","2. Agentic Coding（执行期）",[21,179,180],{},"本词条主体：AI 自主跑完\"规划→实现→测试→提交\"闭环。适合长任务、重构、跨文件改造。",[162,182,184],{"id":183},"_3-spec-driven-development固化期","3. Spec-Driven Development（固化期）",[21,186,187],{},"先用详细 spec \u002F 验收标准约束 AI（如 GitHub Spec Kit + AGENTS.md），适合生产协作。可审计、可复现，但自由度低。",[21,189,190,193],{},[24,191,192],{},"实务组合","：探索期用 Vibe 快速验证 → 进生产前补 spec \u002F 测试 \u002F AGENTS.md 把它\"固化\" → 长任务交给 Agentic Coding 自主跑。三者不是互斥，而是生命周期的不同阶段。",[16,195,197],{"id":196},"_2026-年的关键转向从马力到护栏","2026 年的关键转向：从\"马力\"到\"护栏\"",[21,199,200,201,204],{},"2026 上半年，各家 AI 编程 Agent 的更新重点发生了明显漂移——",[24,202,203],{},"不再比谁代码写得更聪明，而是比\"能不能放心让它无人值守地跑\"","：",[107,206,207,216,222,228],{},[110,208,209,211,212,215],{},[24,210,118],{}," 把 auto mode 默认开启（Bedrock \u002F Vertex \u002F Foundry 云上自主运行），并加 ",[121,213,214],{},"\u002Fcommit-push-pr"," 自动化；",[110,217,218,221],{},[24,219,220],{},"Codex CLI"," 加 writes 审批模式（只读动作免打扰、写动作才弹确认）+ 交互式 MCP 认证；",[110,223,224,227],{},[24,225,226],{},"OpenHands"," 加 Budgets 仪表盘、Agent Profiles、BYO-key——因为\"惊喜往往是账单，不是输出\"；",[110,229,230,233],{},[24,231,232],{},"Zed"," 加 llama.cpp 本地模型 provider，作为\"把 agent 留在自己机器上\"的逆向补充。",[21,235,236],{},"这标志着 Agentic Coding 进入**可治理（governance）**阶段：审批范围、成本上限、本地选项，是 fire-and-forget 能成立的前提。",[16,238,240,241,245],{"id":239},"与-ai-agent-的关系","与 ",[115,242,244],{"href":243},"\u002Fwiki\u002Fai-agent.html","AI Agent"," 的关系",[21,247,248],{},"Agentic Coding 是通用 AI Agent 在\"软件开发\"这一垂直场景的实例化。它复用同一套能力：规划、工具调用（读写文件 \u002F 跑命令 \u002F 调 API）、观察-反思循环。区别只是执行环境从\"网页 \u002F 数据库\"变成了\"代码仓库 + 终端 + CI\"。",[21,250,251,252,256,257,260],{},"而 ",[115,253,255],{"href":254},"\u002Fwiki\u002Fembodied-ai.html","具身智能"," 则是 Agent 在",[24,258,259],{},"物理世界","的执行延伸——当 agent 不再只改 git，而是去工厂搬箱子，Agentic Coding 与具身智能在底层范式上同源。",[16,262,263],{"id":263},"开发者该怎么上手",[265,266,267,273,294,300],"ol",{},[110,268,269,272],{},[24,270,271],{},"小步信任","：先让 agent 做单文件、单测这类低风险任务，建立对它的判断；",[110,274,275,204,278,281,282,281,285,288,289,293],{},[24,276,277],{},"写好上下文",[121,279,280],{},"CLAUDE.md"," \u002F ",[121,283,284],{},"AGENTS.md",[121,286,287],{},".cursor\u002Frules"," 决定成功率，详见 ",[115,290,292],{"href":291},"\u002Fwiki\u002Fcontext-engineering.html","Context Engineering","；",[110,295,296,299],{},[24,297,298],{},"加护栏","：开审批模式、设成本上限、用 git worktree 隔离实验；",[110,301,302,305,306,309],{},[24,303,304],{},"人审不可省","：agent 跑完必看 ",[121,307,308],{},"git diff"," 和测试报告，别把\"能跑\"当\"对\"。",[16,311,312],{"id":312},"延伸阅读",[107,314,315,320,331,342],{},[110,316,317,318],{},"更早的形态：",[115,319,172],{"href":171},[110,321,322,323,281,325,281,327],{},"底层机制：",[115,324,244],{"href":243},[115,326,292],{"href":291},[115,328,330],{"href":329},"\u002Fwiki\u002Ffunction-calling.html","Function Calling",[110,332,333,334,281,336,281,338,281,340],{},"工具：",[115,335,118],{"href":117},[115,337,220],{"href":131},[115,339,141],{"href":140},[115,341,150],{"href":149},[110,343,344,345,349,350],{},"最新动态：",[115,346,348],{"href":347},"\u002Fnews\u002F2026\u002Fai-coding-july-2026.html","2026 年 7 月 AI 编程动态"," \u002F 模型：",[115,351,353],{"href":352},"\u002Fmodels\u002Fgpt-5-6.html","GPT-5.6",{"title":355,"searchDepth":356,"depth":356,"links":357},"",3,[358,360,361,366,367,369,370],{"id":18,"depth":359,"text":19},2,{"id":105,"depth":359,"text":105},{"id":160,"depth":359,"text":160,"children":362},[363,364,365],{"id":164,"depth":356,"text":165},{"id":176,"depth":356,"text":177},{"id":183,"depth":356,"text":184},{"id":196,"depth":359,"text":197},{"id":239,"depth":359,"text":368},"与 AI Agent 的关系",{"id":263,"depth":359,"text":263},{"id":312,"depth":359,"text":312},"methodology",null,"md",{},true,"\u002Fwiki\u002Fagentic-coding","2026-07-23",[379],"gpt-5-6",[381,382,383,384],"coding\u002Fcli\u002Fclaude-code","coding\u002Fcli\u002Fcodex","coding\u002Fide\u002Fcursor","coding\u002Fagent\u002Fdevin",{"title":11,"description":355},"agentic-coding","wiki\u002Fagentic-coding","AI 不再只补全下一行，而是'拥有问题'：自主规划、改文件、跑测试、提交 commit，开发者退到'提需求 + 审结果'。2026 年从补全\u002F对话走向自主 Agent 的范式迁移。",[85,390,391,118,392,244],"智能体编程","AI编程","Codex","hCwmY5EU0df-8yFYZlQVF0HAfqIKnQBIJHrBFg9VpCs",1784900539358]