---
格式版本: 2
标题: "Announcing Developer Device Platform (DDP) on Google Cloud"
原文链接: "https://cloud.google.com/blog/topics/developers-practitioners/announcing-developer-device-platform-on-google-cloud"
发布日期: "2026-08-11"
发布时间校准状态: "found"
发布时间需复核: "否"
发布时间来源: "llm:local:original_script_field"
发布时间证据: "datePublished: 2026-08-11"
发布时间校准原因: "候选日期均一致，优先选择article:published_time或datePublished，c5为datePublished字段。"
发布时间校准置信度: "1"
发布时间候选数量: 5
发布时间严格候选数量: 0
发布时间原页读取状态: "source template page reused from URL open"
发布时间未找到原因: ""
发布时间校准时间: "2026-08-12T21:21:40+08:00"
发布时间仲裁状态: "confirmed"
发布时间仲裁尝试次数: 1
发布时间仲裁耗时毫秒: 32627
发现时间: "2026-08-12T21:17:38+08:00"
入库时间: "2026-08-12T13:22:13.319Z"
来源平台: "固定入口"
搜索渠道: "fixed_url"
搜索词: "https://cloud.google.com/blog/"
匹配关键词:
  - "performance"
  - "AI"
相关厂家:
  - "Google"
相关专家:
  []
内容类型: "网页"
抓取工具: "Free Fetch + Defuddle"
清洗工具: "Defuddle Markdown + Defuddle/Readability 正文提取"
原始附件:
  []
AI优质: "否"
AI打分: 10
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "内容为Google Cloud移动应用开发平台（DDP），与超节点/AI Rack/机柜级AI基础设施完全无关，不涉及任何核心主题。"
AI质检模型: "ali-deepseek-v4-flash"
AI质检时间: "2026-08-12T21:24:08+08:00"
AI主题相关性: 0
AI来源权威性: 10
AI新颖性: 0
AI技术细节: 0
AI商业部署信号: 0
AI完整性: 0
采集批次: "2026年8月12日20点58分23秒"
采集批次ID: "20260812-205823-234"
去重键: "https://cloud.google.com/blog/topics/developers-practitioners/announcing-developer-device-platform-on-google-cloud"
---

Developers & Practitioners

## Introducing the Developer Device Platform for agentic mobile app development

##### Derek Bekebrede

Product Manager, Google

##### Jason Nager

Product Strategy & Operations

##### Try Gemini Enterprise Business Edition today

The front door to AI in the workplace

[Try now](https://business.gemini.google/?utm_source=cloud.google.com/blog&utm_medium=et&utm_campaign=FY26-Q2-GLOBAL-GLO27877-physicalevent-er-next26-mc-105752)

Most enterprises connect with their customers through a device. Whether it’s using a mobile app to order a product, contact customer service, view content, or manage their account, the customer experience depends on how well an app can run locally on the customer’s device.

For this reason, building and testing applications across a wide variety of devices is critical for any enterprise launch that involves locally running components. However, procuring and hosting devices at scale is expensive and complex, and tests are often flaky, inconclusive, or just difficult to debug. This leaves many developers to test launches on the physical phones in their pockets and hope the results apply to most devices.

To solve this challenge, today we are excited to announce the public preview launch of **Developer Device Platform (DDP)** on Google Cloud. DDP is a fully managed cloud platform that provides instant, on-demand access to multiple hardware profiles across real physical devices and high-concurrency virtual emulators. DDP represents an evolution of Firebase Test Lab for Cloud developers, and is also the first device platform built for agentic development. With DDP, developers can now utilize their preferred agents to vibe code apps, run tests, debug, and optimize performance across devices efficiently and quickly.

### Build and test your apps to guarantee performance

In the standard mobile development lifecycle, developers iteratively build new features, run QA tests to ensure performance across a variety of target devices, and ship the optimized and debugged feature to production for their users. Developer Device Platform offers two main functions to accelerate this cycle:

**Interactive debugging with Device Streaming:** With our Device Streaming API, developers can directly access an emulator or physical device of their choice, and vibe code, iteratively test, debug and interact with the app remotely. Device streaming makes it simple to dive into your customer experience, and scroll and click in real time, all while also monitoring performance on the real device hardware.

**Parallel testing with Device Run:** With our Device Run API, developers can write tests as part of their CI/CD pipelines and run them in parallel across hundreds of different devices at once. With the results, developers can pinpoint and debug specific device issues, and ship code to production with confidence that it will run across device tiers.

### Accelerate mobile app development with DDP agent skills and efficient tests

The rise of coding agents in mobile development specifically opens up new possibilities when paired with physical devices. Coding agents can interact and test on the real hardware, helping them take advantage of unique phone screen sizes (e.g., foldable phone UI) and specialized hardware (e.g., CPUs vs GPUs).

Developer Device Platform will soon integrate with Android Studio and Android CLI, giving you direct access to physical devices via Device Streaming API. The DDP agent skill will also allow you to work with the AI coding agents of your choice to accelerate development. With [DDP agent skill](https://docs.cloud.google.com/developer-device-platform/agent-skill), coding agents can:

- Execute multi-step user journeys independently
- Spot visual artifacts
- Analyze real-time chip performance on-device
- Validate fixes to hardware specific bugs and/or optimize for unique phone features

In addition to these agentic capabilities, DDP also enables developers to package apps and launch parallelized tests with smart sharding, giving you access to results across hundreds of devices in minutes. With smart auto-retries, DDP also retries specific tests that fail within your shards, helping you get past errors faster without rerunning your entire suite of tests.

### Start building with Developer Device Platform today

Starting August 12, Developer Device Platform is available in public preview to all Google Cloud users. During public preview, users are charged based on a pay-per-minute model so you pay only for the active testing minutes you consume, with rates differing for emulator vs physical devices.

We can’t wait to see how Developer Device Platform can help mobile developers across Google Cloud accelerate their development and take advantage of the growing number of unique device features and on-device AI possibilities.
