写代码不再是瓶颈：Spotify 如何把开发者体验扩展到团队与 AI Agent

# backstage-templates/microservice-template.yaml
# 在 Backstage 中注册此模板后，开发者点击即可生成标准化微服务项目
apiVersion: scaffolder.backstage.io/v1
kind: Template
metadata:
  name: microservice-standard
  title: Standard Microservice
  description: 生成一个符合平台标准的微服务，自带 CI、监控、健康检查
spec:
  owner: platform-team
  type: service
  parameters:
    - title: 基本信息填写
      required:
        - name
        - owner
      properties:
        name:
          title: 服务名
          type: string
          pattern: '^[a-z][a-z0-9-]{4,30}$'
          description: 小写字母开头，5-31 字符，仅允许小写字母、数字和连字符
        owner:
          title: 所属团队
          type: string
          ui:field: OwnerPicker
          ui:options:
            allowedKinds:
              - Group
        description:
          title: 服务描述
          type: string
  steps:
    - id: fetch-base
      name: 拉取基础骨架
      action: fetch:template
      input:
        url: ./skeleton
        values:
          name: '{{ parameters.name }}'
          owner: '{{ parameters.owner }}'
          description: '{{ parameters.description }}'
    - id: publish
      name: 推送到 Git 仓库
      action: publish:github
      input:
        repoUrl: 'https://github.com/{{ parameters.owner }}/{{ parameters.name }}'
        description: '{{ parameters.description }}'
    - id: register
      name: 注册到服务目录
      action: catalog:register
      input:
        catalogInfoUrl: 'https://github.com/{{ parameters.owner }}/{{ parameters.name }}/blob/main/catalog-info.yaml'
  output:
    links:
      - title: 仓库地址
        url: 'https://github.com/{{ parameters.owner }}/{{ parameters.name }}'
      - title: 打开服务详情
        icon: catalog
        entityRef: 'service:default/{{ parameters.name }}'

# deploy_agent_client.py
# Agent 通过此客户端自助部署服务，无需人类手动操作 UI
# 前提：部署平台已开放 REST API，Agent 拥有 scoped token

import os
import requests

DEPLOY_API = os.environ.get("DEPLOY_API_URL", "https://deploy.internal.spotify.net/api/v1")
TEAM_TOKEN = os.environ.get("DEPLOY_TEAM_TOKEN")  # scoped token，仅允许部署指定团队的服务

def deploy_service(service_name: str, version: str, env: str = "staging") -> dict:
    """Agent 调用部署 API，将指定版本推到目标环境"""
    resp = requests.post(
        f"{DEPLOY_API}/deployments",
        headers={"Authorization": f"Bearer {TEAM_TOKEN}"},
        json={
            "service": service_name,
            "version": version,
            "environment": env,
            "auto_monitor": True,  # 自动挂载监控面板
        },
        timeout=30,
    )
    resp.raise_for_status()
    return resp.json()

def get_deployment_status(deployment_id: str) -> dict:
    """查询部署进度，Agent 可据此决定下一步动作"""
    resp = requests.get(
        f"{DEPLOY_API}/deployments/{deployment_id}",
        headers={"Authorization": f"Bearer {TEAM_TOKEN}"},
        timeout=10,
    )
    resp.raise_for_status()
    return resp.json()

# ---- Agent 使用示例 ----
if __name__ == "__main__":
    # Agent 写完代码、推完 Git 后，直接调用部署
    result = deploy_service("playlist-recommender", "v2.3.1", env="staging")
    print(f"部署已触发，ID: {result['deployment_id']}")

    # Agent 轮询状态，确认部署成功后再继续下一步
    status = get_deployment_status(result["deployment_id"])
    print(f"当前状态: {status['status']}")