Alex·Engineer

AI Engineer Agent that writes, builds, and deploys apps

Q: Does Alex replace Cursor or Copilot?

For building products end to end, Alex is the right fit. For deep, day to day work inside an existing large codebase in your IDE, Cursor and Copilot remain stronger. They are companions to engineers, Alex is an engineer on your AI Team.

Q: How does Alex compare to Lovable or bolt.new?

Lovable and bolt.new generate frontends quickly. Alex covers the full product, including backend, integrations, deployment, and coordination with the rest of your AI Team. More breadth, with the trade off of a different workflow.

Q: Can I export the code Alex writes?

Yes. Code lives in your Atoms project and can be exported. You are not locked in to running the product only inside Atoms.

Q: Is Alex autonomous like Devin?

Alex completes scoped tasks autonomously and asks for input at decision points. He is not a 24/7 unattended agent. Mike (Team Leader) coordinates multi agent work and surfaces the right decisions to you.

Q: Which languages and frameworks does Alex use?

Alex is comfortable with modern web stacks including TypeScript, React, Vue, Node, and Postgres, plus common SaaS APIs like Stripe and OAuth. Less mainstream stacks may need more guidance.

Q: Can Alex handle complex multi file refactors?

Yes, for scoped refactors across multiple files. For very large structural rewrites of legacy codebases, an experienced human engineer with deep context is still a better fit.

Q: Can Alex work with my existing team?

Yes. Humans can review, edit, and commit alongside Alex in the project. He is a teammate, not a closed black box.

Q: What happens when Alex makes a mistake?

You see the diff and the running App Viewer, so you catch issues early. You can roll back, ask Alex to fix it, or fix it yourself. Mistakes are visible instead of hidden behind a generated artifact.

Alex writes the code, deploys it, and works with the rest of your AI Team so the product ships, not just compiles.

Start Building Now 了解其運作方式

Real apps, not just demos.

受到這些公司的創作者信賴：

你的 AI 團隊8位專家，一個工作流程

Why code-only AI tools stop short of shipped product

Code suggestions without the rest of the product
Cursor and Copilot autocomplete inside your editor. You still write the PRD, build the page, wire analytics, and deploy. Alex reads Emma's PRD, applies Sarah's SEO, wires David's events, and deploys to a live URL.
Frontend demos that never become products
v0 and bolt.new generate a slick frontend. Backend, auth, billing, integrations, and deployment are still on you. Alex builds full-stack and ships, not just compiles.
Context lost between specs and code
PRD in Notion. Tickets in Linear. Design in Figma. Code in your IDE. Each handoff loses the why. Alex works with shared AI Team context so he knows which keyword the page targets and which event tracks the action.
Local demos you cannot share with users
A working build on localhost is not a product. Alex deploys to a shareable URL inside the same workflow, so the result is something you put in front of a customer today.

看看 Atoms 如何透過多代理團隊解決這個問題

與Alex的一天

從你的第一個提示詞到交付成果——這就是 Alex 的實際運作方式。

01
閱讀 Bob 的架構和 Emma 的規格說明
Alex 從系統藍圖和 PRD 出發——而不是從空白提示開始——因此建構結果符合原本意圖。
移交給 Bob
02
建立專案結構
根據架構決策產生檔案樹、路由、資料模型和模組邊界。
03
端到端建立全端應用
前端、後端邏輯、資料庫、登入和管理流程已全部串接完成——不是示範，而是可運作的應用程式。
04
接入整合與支付
Auth、Stripe、電子郵件與第三方 API 可透過設定接入，而不是依賴你必須維護的膠水程式碼。
05
部署並開啟可審查的 PR
推送到 Atoms Cloud（或匯出到 GitHub），並顯示差異，讓你在流量到來前完成核准。

Everything Alex needs to ship real products

Full-stack code generation

Frontend, backend, database, and integration code written in the Editor with consistent patterns.

Live App Viewer

See the app running while Alex builds it, so you catch issues during development.

Terminal access

Run builds, tests, and scripts the same way an engineer does, with the agent in the loop.

Deployment to live URL

Alex deploys the app to a shareable URL so the result is a real product, not a local build.

AI Team context awareness

Applies SEO, copy, analytics, and design decisions from the rest of the team without re-explaining.

Multi-file refactors

Coordinated changes across files when a feature touches more than one part of the codebase.

Modern stacks

Comfortable with current web stacks including TypeScript, React, Vue, Node, Postgres, and common SaaS APIs.

當Alex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。

查看完整 AI 團隊的定價

為什麼創作者會在眾多選擇中選Alex

對比

正從 Cursor 轉來？以下就是 Alex 更勝一籌的地方。

是全端，不是程式碼片段

Cursor 和 Copilot 提供函式建議；Bolt 和 v0 生成前端。Alex 將前端、後端邏輯、資料庫、登入、Stripe 付款和部署整合成一個可正常運作的產品，你當天就能上線。

具備架構感知的程式碼

單一助理工具會在彼此隔離的情況下重寫每個檔案。Alex 在動手寫程式前會先閱讀 Bob 的架構決策和 Emma 的規格，因此建置結果會符合系統設計，而不是到第二天就開始偏離。

永遠歸你所有

Lovable 和大多數「AI builder」平台都會把你留在他們的伺服器上。Alex 可依需求將乾淨的程式碼匯出到 GitHub。你隨時都可以把程式碼庫交給一支真人工程師團隊——沒有平台綁定。

查看所有替代方案的完整比較

Atoms 與 Cursor：比較功能、價格和能力

功能	Atoms 推薦	Cursor
輸出	可運作的全端應用程式	程式碼建議
讀取架構決策	是	單檔案上下文
自動部署	一鍵直達 Atoms Cloud	你來搭建 CI/CD
資料庫 + 驗證已接入	開箱即用	你來接入它
匯出到 GitHub	程式碼乾淨，無綁定	從第一天起就是你的程式碼倉庫

免費開始

Alex 如何與您的其他 AI 團隊成員協作

Alex 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。

AlexEmma

EmmaProduct Manager

Emma 的規格會變成 Alex 的建置計畫。需求文件不會在 PM 與工程之間的傳遞中失真。

了解如何 Emma 運作方式

AlexBob

BobArchitect

Bob 選擇合適的技術棧和資料模型。Alex 在其上編寫程式碼——負載成長時無需重建。

了解如何 Bob 運作方式

AlexSarah

SarahSEO Specialist

Sarah 寫什麼，Alex 就部署什麼，同時完整保留正確的 meta 標籤、schema 和路由。

了解如何 Sarah 運作方式

What Alex builds end-to-end

Concrete products Alex builds and deploys with the rest of your AI Team.

Try these prompts with Alex

Build a feature end to end

@Alex build the referral program from Emma's PRD. Wire the schema, build the dashboard, add Stripe payouts, and deploy to a live URL. Apply David's tracking spec for the share and redeem events while you are in there.

Ship a single landing page

@Alex deploy the /invoicing page Sarah wrote. Wire the meta and JSON-LD into the head, add the lead form, and connect it to the Adrian campaign as the destination URL.

Diagnose a broken build

@Alex the staging build is failing on the payments page. Run the Terminal logs, find the root cause, propose the fix with reasoning, and apply it once I approve.

Integrate a third-party API

@Alex add Stripe Connect for marketplace payouts. Map the schema with Bob, write the integration, handle webhook retries, and add David's tracking for successful and failed payouts.

瀏覽完整用例圖庫

認識 Alex 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。

查看完整 AI 團隊及其協作方式

常見問題

Does Alex replace Cursor or Copilot?

How does Alex compare to Lovable or bolt.new?

Can I export the code Alex writes?

Is Alex autonomous like Devin?

Which languages and frameworks does Alex use?

Can Alex handle complex multi-file refactors?

Can Alex work with my existing team?

What happens when Alex makes a mistake?

Put Alex to work

Stop juggling specs, code editors, and deploy scripts. Let Alex build and ship the whole product with your AI Team in Atoms.

AI Engineer Agent that writes, builds, and deploys apps

Why code-only AI tools stop short of shipped product

Code suggestions without the rest of the product

Frontend demos that never become products

Context lost between specs and code

Local demos you cannot share with users