How to Deploy with TRAE and IGA Pages in One Click

Introduction

Imagine you are an independent developer, product manager, or operations colleague who suddenly has an idea. With the Chinese version of TRAE, you can prototype in an afternoon, but deploying that prototype to a globally reachable URL involves a long checklist that often dictates release speed.

Typical deployment pain points

Purchasing and configuring servers

Complex Nginx rules

Writing elaborate Dockerfiles

Setting up CI/CD pipelines

Applying for and renewing SSL certificates

Debugging environment‑specific "mystery bugs"

Post‑launch challenges

Scaling servers for traffic spikes

Slow global access and poor overseas user experience

Manually refreshing CDN cache on each update

Managing API keys for large‑model services across environments

These burdens often cost more than the project itself.

Solution: TRAE CN (AI IDE) × IGA Pages (deployment & acceleration platform)

TRAE handles creative generation and iteration, while IGA Pages takes care of deployment, distribution, and runtime capabilities, abstracting away the entire traditional deployment workflow.

The IGA Pages console can be reached directly at https://console.volcengine.com/dcdn/pages. The service is currently free for personal developers and small teams.

Basic introductions

TRAE : An AI‑native IDE that supports natural‑language generation of full projects, intelligent code completion, and built‑in preview.

IGA Pages : Volcano Engine’s one‑stop AI application deployment and global acceleration platform offering zero‑configuration deployment, edge network, and Serverless functions.

After linking the two, developers can stay within the IDE, generate code, and deploy with a few CLI commands without needing to understand nodes, certificates, or caching.

Suitable scenarios

Quickly publishing AI‑generated prototypes, demos, or landing pages without managing servers, certificates, or CDN.

Full‑stack applications that rely on large‑model APIs, where environment variables, deployment, and gray releases are all handled in a single console.

Not suitable for services requiring persistent background processes, scheduled tasks, or heavy database connections, or for teams needing deep Nginx/container customisation.

Environment preparation

Install TRAE Chinese edition from https://www.trae.cn/.

Install the IGA Pages tool.

Deployment methods

Method 1 (recommended): Skill‑based deployment

Natural‑language installation:

安装这个 skill: https://github.com/volc-iga-pages/iga-pages-skills

Command‑line installation: npx skills add volc-iga-pages/iga-pages-skills Method 2: CLI deployment npm install -g @iga-pages/cli If permission issues arise, use sudo npm install -g @iga-pages/cli. iga pages --version Prepare a Volcano Engine account via the "Volcano Engine Console".

Quick start: Personal portfolio site (5‑10 minutes)

In TRAE Builder, ask the AI to generate a React + Tailwind CSS portfolio page.

帮我生成一个产品经理的个人主页。深色模式，现代简约风。需要包含个人简介、过往项目（以卡片形式展示，含标题、简介、链接）、技能标签和联系方式。使用 React 和 Tailwind CSS。

Preview the result in TRAE and fine‑tune via natural language.

Deploy with a single command: 将当前项目部署到 IGA Pages The installed Skill guides you through IGA Pages login (skipped if already logged in) and automatically deploys the static site. The returned preview URL can be opened immediately.

Key takeaways from the quick‑start

Description‑driven generation: Users describe desired output; AI produces implementation.

Preview before deployment: Real‑time preview in TRAE validates the final result.

Deployment abstracted to a single command: Build, distribution, and certificate handling are built‑in.

Complex scenario: AI‑driven picture‑book generator (10‑20 minutes)

This is a Next.js full‑stack project that calls a large‑model API (doubao‑seedream‑4.5) to generate multi‑page picture books.

使用nextjs写一个生成绘本的智能体，使用 Seedream 生成连环绘本的智能体，它能够根据用户的需求，使用 seedream 4.5 生成画风连续的多页绘本。

The workflow includes:

1. 理解用户需求，使用 LLM 拆分漫画分镜，默认 4 页。
2. 生成角色卡片作为风格参考。
3. 将风格参考图 + 分镜描述传入生图模型，生成单页图片。
4. 使用 Markdown 渲染图片链接返回给用户。
5. 如需修改，使用图生图能力重新生成单张图片。

Configure environment variables in .env.local :

ARK_BASE_URL=https://ark.cn-beijing.volces.com/api/v3
SEEDREAM_MODEL=doubao-seedream-4-5-251128
ARK_API_KEY=your-api-key-here

Deploy via CLI:

# 登录 Volcano Engine
iga login
# 部署
iga pages deploy

The CLI prompts for a project name and outputs a console link and a preview URL. Sustaining deployment

Automation: Trigger deployments via Git pushes.

Custom domain: Replace the default preview link with your own domain.

Runtime: Add backend capabilities to static sites via Edge Functions.

GitHub integration for automatic deployment

Push project code to a GitHub repository.

When creating the IGA Pages project, select "GitHub repository" as the source.

Authorize the "volc-iga-dev" OAuth app to access the repo.

Select the repository name.

After configuration, each git push to the specified branch triggers a webhook that pulls code, installs dependencies, builds, and deploys.

git push → webhook → pull code → install deps → build → deploy

Edge Functions for dynamic capabilities Create an api directory and add a JS/TS function:

export async function GET(request){
  return Response.json({ message: "Hello from IGA Pages!" });
}

Run the development server with iga pages dev and access http://localhost:3000/api/hello to see the JSON response. Final notes The value of TRAE × IGA Pages lies in the clear division of responsibilities: AI handles generation, the platform handles deployment, and the project remains under the developer’s control. This lowers the barrier for non‑ops personnel, accelerates the release cycle, and fits agile or hackathon contexts.