映射到代码的图表
Eraser 和 Whimsical 只能画出漂亮的方框；你的工程师最终还是会按截止日期允许的方式去实现。Bob 的图会真正变成 Alex 在代码库中使用的文件结构和模块边界。
Bob·ArchitectAI Architect Agent that designs systems your team builds
Bob draws the system, picks the stack, and hands the structure to Alex so your architecture becomes the codebase, not a forgotten doc.
Diagrams that map to code, not pretty pictures.
受到这些公司的创作者信赖：
Why architecture docs go stale the day they are written
Pretty diagrams nobody implements
Eraser and Whimsical render beautiful boxes and arrows. Your engineers still build whatever fits the deadline. Bob's diagrams become the file structure and module boundaries Alex actually uses.
Stack choices made by trend
"We picked Mongo because it was popular." Bob explains why Postgres over Mongo, why a queue over direct calls, why Redis vs Memcached. The reasoning is in writing so you can challenge it.
Architecture and code drift apart
The wiki diagram is from sprint 1. The code is from sprint 14. Nobody updates either to match. Bob reviews the current system and updates the architecture doc to reflect what is actually shipped.
Non-functional needs caught after launch
Performance, security, and observability get retrofitted after the first outage. Bob plans them during design with Emma's scale requirements and the access patterns your data model needs to support.
与Bob的一天
从你的第一个提示词到交付结果——这就是 Bob 的实际运作方式。
Everything Bob needs to design solid systems
Architecture diagrams
Service, data flow, and integration diagrams generated in the Editor, not in a separate tool.
Tech stack recommendations
Stack choices justified against your constraints, not picked by trend or familiarity.
Data model design
Schemas and relationships designed for the actual access patterns of your product.
Non-functional planning
Performance, security, and observability addressed during design, not after launch.
Decision logs
Architectural decisions written down with reasoning so future-you can revisit them.
Structure-to-code mapping
Diagrams map to the file structure and module boundaries Alex builds with.
Architecture review
Bob can review existing systems and recommend changes with clear reasoning.
当Bob加入你的团队后，会发生什么变化
手工搭建的工作流缓慢、依赖人工且需要大量工具。将鼠标悬停在任意卡片上，查看每项收益为何重要。
为什么创作者会在众多选择中选Bob
对比
正从 Eraser AI 转来？以下就是 Bob 更胜一筹的地方。
技术栈选择基于理由，而非炒作
ChatGPT 会推荐它在训练数据中最常见的框架。Bob 会解释为什么选择 Postgres 而不是 Mongo，为什么选择队列而不是直接调用，为什么选 Redis 而不是 Memcached——并给出你可以质疑的理由，以及你可以重新审视的决策。
保持最新的架构
Wiki 里的图表到了第 3 个冲刺周期就过时了。Bob 会审查实际代码，并根据已交付的内容更新架构——这样文档就永远不是虚构的，新工程师入职上手只需一天，而不是一个月。
Atoms 与 Eraser AI：比较功能、价格和能力
| 功能 | Atoms 推荐 | Eraser AI |
|---|---|---|
| 输出 | 可映射到代码的架构 | Wiki 中的图表 |
| 有理有据的技术栈选择 | 书面的权衡取舍 | 泛泛的建议 |
| 随代码交付保持同步 | 已根据代码库刷新 | 到第 3 个冲刺周期就过时了 |
| 连接到工程团队 | 移交给 Alex | 通过导出移交 |
| 图表创作 | 自动生成 | 自动生成 |
Bob 如何与您的其他 AI 团队成员协作
Bob 并不是单独工作。以下是你与完整团队协作构建时，各项交接如何落地。
What Bob designs for builders
Concrete architecture work Bob produces that maps to real code.
- Design a system
Greenfield system design
Design the system from scratch with stack choices justified against your constraints.
- Pick a stack
Stack selection
Compare stack options for your project and pick the one that fits your team and scale.
- Design a schema
Data model design
Schema, relationships, and indexes designed for the queries your product will actually run.
- Map integrations
Integration mapping
Map third-party services, webhooks, and data flow before integration work starts.
- Plan for scale
Performance and scaling plans
Identify bottlenecks and plan for the next order of magnitude before they hit production.
- Review security
Security and compliance review
Identify auth, data, and privacy concerns and address them in design instead of post-launch.
Try these prompts with Bob
Design a system from scratch
@Bob design the architecture for a multi-tenant SaaS with usage-based billing, 10k expected tenants, and Stripe Connect payouts. Pick the stack, draw the service diagram, and hand the file structure to Alex.
Pick a stack with reasoning
@Bob we are choosing between Postgres + Prisma and PlanetScale + Drizzle for the new product. Compare them against our constraints (multi-region reads, single engineer, 100ms p95) and recommend one with explicit trade-offs.
Review an existing architecture
@Bob review our current API layer. We are seeing 800ms p95 on the dashboard endpoint and want to scale to 10x traffic. Map the bottlenecks, propose changes, and write the migration plan for Alex.
Design the data model for a feature
@Bob design the schema for the referral program in Emma's PRD. Map the entities, relationships, and indexes for the queries we will actually run. Hand the schema and migration plan to Alex.
认识 Bob 的其他 AI 团队成员
没有任何一个智能体是单独工作的。点开任意队友，即可查看他们如何处理您产品中的那一部分。
常见问题
Put Bob to work
Stop drawing diagrams nobody implements. Let Bob design systems your AI Team builds and keeps in sync inside Atoms.
