對應程式碼的圖表
Eraser 和 Whimsical 只能畫出漂亮的方框；你的工程師最後還是會做出符合截止日期的東西。Bob 的圖會真正變成 Alex 在程式碼庫中使用的檔案結構與模組邊界。
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.
受到這些公司的創作者信賴：
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.
與Bob的一天
從你的第一個提示詞到交付成果——這就是 Bob 的實際運作方式。
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.
當Bob加入你的團隊後，會發生什麼變化
手動打造的工作流程緩慢、仰賴人工且工具繁雜。將滑鼠懸停在任一卡片上，查看為何每項提升都很重要。
為什麼創作者會在眾多選擇中選Bob
對比
正從 Eraser AI 轉來？以下就是 Bob 更勝一籌的地方。
技術棧選擇基於理由，而非炒作
ChatGPT 會推薦它在訓練資料中最常見的框架。Bob 會解釋為什麼選 Postgres 而不是 Mongo，為什麼用佇列而不是直接呼叫，為什麼選 Redis 而不是 Memcached——並提供你可以質疑的理由，以及你可以重新檢視的決策。
保持最新的架構
Wiki 裡的圖表到了第 3 個衝刺週期就過時了。Bob 會審查實際程式碼，並根據已交付的內容更新架構——這樣文件就永遠不是虛構的，新工程師入職上手只需一天，而不是一個月。
Atoms 與 Eraser AI：比較功能、價格和能力
| 功能 | Atoms 推薦 | Eraser AI |
|---|---|---|
| 輸出 | 可映射到程式碼的架構 | Wiki 中的圖表 |
| 有理有據的技術棧選擇 | 書面的權衡取捨 | 泛泛的建議 |
| 隨著程式碼交付保持同步 | 已根據程式碼庫更新 | 到第 3 個衝刺週期就過時了 |
| 連接到工程團隊 | 移交給 Alex | 透過匯出移交 |
| 圖表創作 | 自動產生 | 自動產生 |
Bob 如何與您的其他 AI 團隊成員協作
Bob 並不是單獨工作。以下是你與完整團隊協作建置時，各項交接如何落地。
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.
認識 Bob 的其他 AI 團隊成員
沒有任何一個智能體是單獨工作的。點選任一隊友，即可查看他們如何處理您產品中的那一部分。
常見問題
Put Bob to work
Stop drawing diagrams nobody implements. Let Bob design systems your AI Team builds and keeps in sync inside Atoms.
