What Is Devin?Devin 是什么？
Devin is Cognition's fully autonomous AI software engineer — the product that defined the "AI engineer" category. Instead of completing code inline, Devin takes an entire engineering task: you describe the ticket (a bug, a feature, a migration), and it plans the work, explores the codebase, writes code, runs the shell and test suite, debugs failures, and opens a pull request. You review the PR, not the keystrokes.Devin 是 Cognition 出品的全自主 AI 软件工程师——开创「AI 工程师」品类的产品。它不做行内补全，而是接完整工程任务：你描述需求（一个 bug、一个功能、一次迁移），它规划工作、探索代码库、写代码、跑 shell 和测试套件、调试失败、提 PR。你审 PR，不审它敲的每个键。
Its working model is assign-and-forget: Devin runs in an isolated cloud sandbox with its own browser, shell, and code editor, and it works asynchronously — you assign several tasks and come back to results. It can run multiple tasks in parallel, which makes it a different animal from interactive terminal agents like Claude Code or OpenAI Codex, where you steer each step.它的工作模式是 assign-and-forget：Devin 在隔离云端沙盒里运行（自带浏览器、shell、代码编辑器），异步干活——你可以一次派多个任务，回来收结果。它能并行跑多个任务，这让它和Claude Code、OpenAI Codex 这类交互式终端 Agent 是两种生物：后者需要你一步步盯。
Pricing: Devin's plans and usage rates change frequently, so this page does not hard-code numbers — check devin.ai for the current pricing. Expect usage-based billing: autonomous agents burn significant compute, and Devin is priced as engineering capacity, not as a $20/month subscription.价格：Devin 的档位与用量费率变化频繁，本页不硬编码具体数字——以官网 devin.ai 为准。心理预期：自主 Agent 烧算力，它是按「工程产能」定价的，不是一档 $20/月的订阅。
Devin was the first product to sell autonomy rather than assistance, and that framing still defines how the category is priced and judged. Its real strength is the async model: five tickets assigned Monday morning, five PRs by lunch, while you did something else. The honest caveats: autonomy quality depends heavily on task spec quality — vague tickets get vague PRs; and it is the priciest way to write code, because you're buying compute plus judgment. For well-specified, self-contained engineering tasks it genuinely saves engineering hours; for exploratory work where you want to steer, an interactive agent (Claude Code, Codex) is cheaper and more controllable.
Devin 是第一个卖「自主」而不是卖「辅助」的产品，这个框架至今定义了品类的定价和评判标准。它真正的强项是异步模式：周一早上派五个 ticket，中午前收五个 PR，中间你干别的去了。真实代价：自主质量高度依赖任务描述质量——含糊的 ticket 换来含糊的 PR；而且它是写代码最贵的方式，因为你买的是算力加判断。对描述清晰、自包含的工程任务，它真的省工时；对需要你边想边带方向的探索性工作，交互式 Agent（Claude Code、Codex）更便宜、更可控。
— 中国吧 AI Tools Hub Editorial Team
Who Should Use Devin?谁适合使用Devin？
✓ Good Fit For适合以下场景
- Teams with backlogs of well-specified tickets they want turned into PRs有成堆描述清晰的 ticket、想直接变成 PR 的团队
- Parallel engineering: multiple tasks running in cloud sandboxes at once并行工程：多个任务在云端沙盒同时跑
- Managers wanting async engineering capacity without headcount想获得异步工程产能、不加人头的管理者
✕ Not Ideal For不适合以下场景
- Vague, exploratory work — Devin needs clear specs (see interactive agents)模糊的探索性工作——Devin 需要清晰需求（看交互式 Agent）
- Budget-constrained individuals — autonomous compute is the priciest route预算紧张的个人——自主算力是写代码最贵的一条路
Getting Started with DevinDevin 快速开始
1. Sign up at devin.ai and connect your GitHub repository在 devin.ai 注册，连接你的 GitHub 仓库2. Write a clear task spec: goal, acceptance criteria, files in scope写清晰的任务描述：目标、验收标准、涉及文件范围3. Assign it and walk away — review the pull request when Devin finishes派发任务走人——Devin 完成后回来审 PRKey Features核心功能
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Fully Autonomous Engineering全自主工程能力 — Assign-and-forget: Devin plans, codes, tests, and debugs end-to-end — you review PRs, not keystrokes.assign-and-forget：Devin 端到端规划、写代码、测试、调试——你审 PR，不审击键。
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Isolated Cloud Sandbox隔离云端沙盒 — Every task runs in its own cloud machine with shell, browser, and editor — your laptop stays clean and free.每个任务跑在独立云端机器里，自带 shell、浏览器、编辑器——你的电脑干净又空闲。
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Parallel Task Execution并行多任务 — Fire off multiple tickets at once — Devin works them in parallel like a small engineering team.一次派多个 ticket——Devin 并行推进，像一个小型工程团队。
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Repo & Tool Integrations仓库与工具集成 — Deep GitHub integration (branches, PRs, CI status) plus issue trackers and team collaboration workflows.深度 GitHub 集成（分支、PR、CI 状态），外加 issue 跟踪与团队协作流。
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Devin Desktop: the IDE FormDevin Desktop：IDE 形态 — Windsurf was renamed Devin Desktop (June 2026): the same company's AI inside your editor, for in-the-loop work.Windsurf 于 2026-06 更名为 Devin Desktop：同公司的 AI 在编辑器内，适合交互式工作流。
Pros & Cons优缺点
✓ Good Fit For适合以下场景
- Category-defining autonomy: assign tickets, receive PRs品类开创的自主度：派 ticket，收 PR
- True parallelism — a small async engineering team on demand真正的并行——按需的异步小型工程团队
- Isolated sandboxes: safe to run on real repos隔离沙盒：在真实仓库上跑也安全
- Cognition's enterprise traction and continued investmentCognition 的企业客户基础与持续投入
✕ Not Ideal For不适合以下场景
- Spec quality gates output — vague tickets waste compute任务描述质量决定产出——含糊的 ticket 烧算力
- Priciest way to write code (usage-based, priced as engineering capacity)写代码最贵的一条路（用量计费，按工程产能定价）
- Less steering control than interactive agents mid-task任务中途的操控度不如交互式 Agent
Use Cases应用场景
Popular ways people use Devin.人们使用Devin的常见场景：
🎫 Ticket-to-PR Backlog BurndownTicket 到 PR 的积压清零
Feed Devin a queue of well-specified bugs and small features; wake up to a stack of PRs.把一堆描述清晰的 bug 和小功能喂给 Devin；醒来收一摞 PR。
🔄 Migrations & Upgrades迁移与升级
Dependency bumps, framework migrations, codemods — the repetitive, verifiable work Devin does best.依赖升级、框架迁移、codemod——重复、可验证的活，Devin 最擅长。
🧪 Test Coverage Campaigns测试覆盖率攻坚
Assign \"add tests for module X to 80% coverage\" across modules in parallel.给每个模块并行派「给 X 模块补测试到 80% 覆盖率」的任务。
🌙 Overnight Engineering通宵工程
Devin works while you sleep — the classic pitch, and for scoped tasks it actually holds.你睡觉它干活——这是 Devin 的经典卖点，对范围清晰的任务确实成立。
Similar AI Tools相似 AI 工具
If Devin doesn't fit your needs, here are other popular AI tools you might consider:如果Devin不符合你的需求，可以看看这些热门 AI 工具：