AI-assisted Hongmeng APP development solution

🛒 The AI-assisted native APP development solution for Hongmeng developers covers the entire process of ArkTS/ArkUI code generation, distributed capability integration, meta-service development, HMS access and AppGallery Connect launch.

AI assisted Hongmeng APP development solution

1. Plan Overview

1.1 Hongmeng ecological background

HarmonyOS (Hongmeng Operating System) is a distributed operating system independently developed by Huawei. It has been iterated to the HarmonyOS NEXT (pure-blooded Hongmeng) version, completely stripping away the Android AOSP code and building a completely self-developed Harmony native ecosystem. As of mid-2026, the base of devices equipped with HarmonyOS has exceeded 1 billion (including mobile phones, tablets, smart screens, cars, and IoT terminals), with more than 8 million active developers, making it the third largest mobile operating system ecosystem in the world.

1.2 Problems solved by the solution

This solution is intended for Hongmeng APP native development teams and individual developers and solves the following core bottlenecks:

  • ArkTS/ArkUI has a steep learning curve: TypeScript-style declarative UI framework is very different from the traditional Android/Java development model, and the cost of getting started is high
  • Complex integration of meta-services and distributed capabilities: Cross-device transfer, distributed database, meta-service deployment and other Hongmont capabilities require specialized development processes
  • HMS ecological docking is cumbersome: The access and debugging cycle of HMS Core services such as Huawei push, payment, map, and account is long
  • App listing review risk: Unfamiliar with AppGallery Connect’s release material preparation, review requirements, and compliance inspection process

Through AI-assisted programming tools and AI code generation capabilities, ArkTS/ArkUI coding efficiency can be improved by 2-3 times, API integration debugging time can be shortened by more than 50%, and the shelf material preparation cycle can be compressed from 2-3 days to half a day.

1.3 Target user portrait

Role Skill basis Core pain points Value of AI intervention
Hongmeng native application developer Familiar with ArkTS/ArkUI Repetitive UI code writing, API docking Code completion and batch generation
Android→Hongmeng migration developer Java/Kotlin experience Learn ArkTS syntax and reconstruct UI Code migration assistance and syntax conversion
Hongmeng Yuan Service Developer Understanding the Meta Service Model Atomized Service Development, Card Configuration Template Generation and Configuration Parameter Completion
Hongmeng technical leader/architect Full stack experience Team efficiency, code specifications, AI integration Architecture guidance and code review

2. Tool chain list

Tools Purpose Required Account Level Estimated Fees Alternatives
Cursor AI IDE, ArkTS/ArkUI code intelligent completion and multi-file editing Pro version ($20/month) $20/month GitHub Copilot
Claude AI dialogue, ArkTS architecture design, API solution consulting Pro version ($20/month) $20/month ChatGPT
ChatGPT AI dialogue, HMS integrated document interpretation, release material generation Plus version ($20/month) $20/month DeepSeek
DevEco Studio (built-in IntelliJ engine) Hongmeng official IDE, project creation, compilation, debugging, and real machine running Free Free —
AppGallery Connect Application publishing, review, distribution, and data analysis platform Huawei developer account Free (including paid distribution commission) —
Sentry Post-release crash monitoring, performance tracking Starting from Team version Starting from $26/month Huawei AppGallery Connect built-in performance monitoring
Total $66-86/month

Note: DevEco Studio and AppGallery Connect are Huawei’s official free tools and there are no alternatives.

3. Preparation (Checklist)

Before starting Hongmeng APP AI-assisted development, please confirm the following preparations one by one:

3.1 Development environment

  • [ ] Download and install DevEco Studio (latest version, 5.0+ recommended), visit the official website of Huawei Developer Alliance to obtain it
  • [ ] Install Node.js (v18+) and Ohpm (Hongmeng Package Manager), the DevEco Studio installation wizard will automatically guide the configuration
  • [ ] Configure Huawei Maven repository (@ohos/harmony dependency source), open the network settings in DevEco Studio and ensure that Huawei repo can be accessed
  • [ ] Install ArkTS language plug-in and ArkUI previewer (DevEco Studio is integrated by default)
  • [ ] Install AI IDE tools (such as Cursor or VS Code + GitHub Copilot plug-in)

3.2 Account and Permissions

  • [ ] Register Huawei Developer Account (https://developer.huawei.com), real-name authentication (individual or enterprise)
  • [ ] Activate AppGallery Connect developer service and sign the developer agreement
  • [ ] Apply for HMS Core related API permissions (activate push, payment, map, etc. on demand)
  • [ ] Generate Signature Certificate (.p12 file) and Profile file (.p7b) for real machine debugging and release
  • [ ] Register an AI tool account (Claude / ChatGPT Pro version)

3.3 Equipment preparation

  • [ ] Prepare HarmonyOS real machine (HarmonyOS NEXT version is preferred, such as Huawei Mate series, Pura series)
  • [ ] or configure Local Emulator (local emulator) in DevEco Studio to support ArkUI preview
  • [ ] Turn on the device developer mode, connect to the computer via USB and authorize debugging

3.4 Necessary knowledge and materials

  • [ ] Understand the basic syntax of ArkTS (a superset of TypeScript, you can get started quickly if you are familiar with TypeScript)
  • [ ] Understand the ArkUI declarative UI development paradigm (@Component, @State, @Builder and other decorator systems)
  • [ ] Collection of Huawei developer documentation library: https://developer.huawei.com/consumer/cn/doc/ for backup

4. Step-by-step implementation guide

Step 1: Project creation and engineering structure construction

⏱ Estimated time: 0.5-1 day 🎯 Goal: Create a standard Hongmeng APP project and configure a modular engineering structure ⚠️ Prerequisites: The development environment is installed and the equipment is ready for debugging

Operation instructions

Use DevEco Studio to create HarmonyOS application projects. Similar to Android Studio, DevEco Studio provides a project template wizard. The key is to choose the correct API Version (which needs to match the minimum system version of the target device, such as API 12+ for HarmonyOS NEXT 5.0).

Specific operations

  1. Open DevEco Studio → Click Create Project → Select the Application template (or Atomic Service template)
  2. Configure project parameters:
    • Project Name: MyHarmonyApp
    • Bundle Name: com.example.myapp (needs to be consistent with subsequent signing certificate)
    • Compile SDK: Select API 12 or higher
    • Compatible SDK: Select based on the minimum version of the target device
  3. Enable modular structure: Divide pages, components, utils, and model subdirectories according to functions under entry/src/main/ets/
  4. Initialize Ohpm dependencies: Modify oh-package.json5 and add necessary dependencies (such as @ohos/harmony core package)

AI assisted operation

  • Use Cursor to open the project directory → Cmd+K and enter: 
    Create the src directory structure for my Hongmeng project: pages/ (home page, detail page, settings page), components/ (common components), utils/ (network request, data cache), model/ (data model)
  • Let Claude generate the initial configuration of oh-package.json5: 
    Generate the oh-package.json5 template of the HarmonyOS NEXT API 12 project. You need to add @ohos/http and @ohos/data dependencies.

Verification method

  • [ ] DevEco Studio builds successfully, no compilation errors
  • [ ] Projects can be run in the Local Emulator and display the default page
  • [ ] Previewer can render the first screen ArkUI page normally

FAQ

Q: DevEco Studio build reports "API version mismatch" error? A: Check whether the compileSdkVersion and compatibleSdkVersion configurations in build-profile.json5 match the device system version. When debugging on a real machine, make sure that the device system is not lower than compatibleSdkVersion.

Step 2: ArkUI page component development (AI-assisted coding core link)

⏱ Estimated time: 2-4 days 🎯 Goal: Use ArkTS + ArkUI to complete UI development for all pages of the APP ⚠️ Prerequisite: The project structure is created

Operation instructions

ArkUI adopts the declarative UI paradigm, similar to SwiftUI/Jetpack Compose. Core concepts include @Component decorator to define components, @State to manage state, @Builder to build UI fragments, and ForEach/If conditional rendering. AI has the greatest intervention value at this stage - it can batch generate highly repetitive templated UI codes such as list pages and form pages.

Specific operations

2.1 Home page development (List + Grid mixed layout)

Framework idea: The homepage includes a top carousel (Banner), a middle grid function entrance (Grid), and a bottom recommendation list (List). Use @State to manage data sources.

AI assisted operation:

Using Agent mode (Cmd+I) in Cursor enter:

Create HomePage.ets under pages/ and implement it with ArkUI:
1. Top carousel picture: Swiper component, automatic carousel of 3 pictures
2. Middle 4-column grid entry: GridItem + LazyForEach
3. Bottom recommendation list: List + ListItem, supports pull-down refresh
4. Use @State to manage data and @Builder to separate UI blocks
5. Follow HMS Typography and color specifications

2.2 Details page development

Framework idea: receive the product/content ID as a routing parameter, and pass the data through @Link or LocalStorage.

AI assisted operation:

In Claude enter:

Please generate HarmonyOS ArkUI product details page code, including:
- Image main image display (supports gesture zoom)
- Text title, price, label
- @State controls expand/collapse detailed description
- Fixed bar at the bottom: Collection button + Add to cart button
- Use Router to receive page parameters
Generate complete pages/DetailPage.ets code

2.3 Custom component packaging

Extract reused UI fragments as custom components into the components/ directory:

// components/ProductCard.ets — Product card components
@Component
export struct ProductCard {
  @Prop product: ProductItem;
  @State isFavorite: boolean = false;

  @Builder
  cardContent() {
    Column() { ... }
  }

  build() {
    this.cardContent()
  }
}

Expert perspective: Why this step is the most efficient stage of AI

ArkUI's declarative syntax shows a highly repetitive pattern at the component level - the structure of @Component + @State + build() is almost the same across multiple pages, with the only difference being the specific layout parameters (spacing, margins, colors). Tab completion for Cursor can predict 60-80% of subsequent code in this scenario, and developers only need to accept it instead of typing line by line. Handwriting time can be reduced from 2-3 hours to 30-45 minutes for a single page.

Verification method

  • [ ] All pages are rendered normally in Previewer, and the layout adapts to different screen sizes.
  • [ ] The list slides smoothly without lagging.
  • [ ] Custom components can be reused on different pages
  • [ ] Route jump is normal and parameters are passed correctly between pages.

FAQ

Q: What is the difference between ArkUI’s Flex layout and CSS Flexbox? A: ArkUI's Flex is implemented based on FlexDirection and JustifyContent enumeration values. It is conceptually similar to CSS Flexbox, but the property names are different. The code generated by AI will usually use the correct enumeration value. Pay attention to check the main axis direction (Row vs Column) during manual acceptance.

Q: Does the ArkUI code generated by Cursor have syntax errors? A: Hongmeng Eco's ArkTS is a newer language, and the number of Hongmeng samples in the AI model training corpus may be insufficient. It is recommended to explicitly specify keywords such as HarmonyOS NEXT, API 12, and ArkUI in the prompt to improve accuracy. For complex components, use Claude or ChatGPT to generate reference logic and manually adjust the decorator writing method.

Step 3: Business logic layer development (data management + network request + status management)

⏱ Estimated time: 2-3 days 🎯 Goal: Complete data model definition, API network request layer, and status management solution ⚠️ Preconditions: UI page skeleton completed

Operation instructions

The business logic layer of Hongmeng APP consists of three parts: data model (defining entities and JSON serialization), network layer (encapsulating @ohos.net.http requests), state management (using @Provide/@Consume or AppStorage/LocalStorage to share data across components).

Specific operations

3.1 Data model definition

Create an entity class under model/ and use the @Observed decorator to implement responsive data binding:

// model/ProductModel.ets
@Observed
export class ProductItem {
  id: number;
  name: string;
  price: number;
  imageUrl: string;
  tags: string[];
  // Use JSON.stringify for serialization
}

3.2 Network request encapsulation

Hongmeng native network requests use the @ohos.net.http module, which is quite different from the front-end fetch API. AI assistance can significantly reduce API packaging costs:

AI assisted operation (ChatGPT):

Generate the network request tool class HttpUtil.ets of HarmonyOS NEXT:
- Based on @ohos/net.http
-Support GET/POST/PUT/DELETE
- Unified request/response interceptor
- Timeout setting 10s
- Error code encapsulation
- Automatically set Content-Type: application/json

3.3 Status management solution

Small applications: Use @State + @Prop/@Link to pass values from parent to child. Medium and large applications: Recommend AppStorage (global persistent storage) or introduce a lightweight state management library.

Verification method

  • [ ] Data model JSON.parse()/JSON.stringify() serialization without loss
  • [ ] The network request can be successfully initiated and the response JSON parsed
  • [ ] Error code (401/403/500) processing logic is complete
  • [ ] UI automatically refreshes after page status changes

FAQ

Q: @ohos/net.http requests always return 501? A: Check whether the network permission: ohos.permission.INTERNET has been added in module.json5. HarmonyOS NEXT has stricter permission management than Android and must be explicitly declared.

Step 4: Distributed capability integration (cross-device transfer + distributed data)

⏱ Estimated time: 2-3 days 🎯 Goal: Achieve distributed data synchronization and cross-device business flow ⚠️ Prerequisite: The business logic of a single device is running stably

Operation instructions

Hongmeng’s distributed capabilities are the core differentiating feature from iOS/Android. Including: Distributed data management (@ohos.data.distributedData), Distributed task scheduling (cross-device FA/PA migration), Distributed files. There are no mature competing product references for this part of the function, and the quality of AI code generation is highly dependent on the Hongmeng document coverage in the training corpus.

Specific operations

4.1 Distributed database initialization and data synchronization

AI assisted operation (Claude):

Generate HarmonyOS distributed database tool class DistributedDataUtil.ets:
- Use @ohos/data.distributedData module
- Initialize KVManager, specify storeId and userId
- put() / get() / delete() basic operations
- Data change event monitoring onDataChange
- Exception handling: device offline, network disconnected

4.2 Cross-device capability migration

Realize the continuity experience of "edit on phone A and continue on tablet B".

Core Access Control: Distributed functions need to be used between devices under the same Huawei account, and Bluetooth and Wi-Fi must be turned on on all devices. AI-generated code cannot circumvent this hardware constraint.

Verification method

  • [ ] Two devices logged into the same Huawei account can discover each other
  • [ ] After data is written, another device can read the synchronization result
  • [ ] Cross-device migration tasks can restore UI state on the target device

FAQ

Q: Distributed data reading returns null? A: Confirm that both devices have logged in to the same Huawei account, and use distributedDeviceManager.getLocalDevice().networkId for the userId parameter to obtain the correct device ID.

Step 5: HMS Core service integration (push + payment + map, etc.)

⏱ Estimated time: 2-4 days 🎯 Goal: Complete the access and debugging of Huawei mobile service core capabilities ⚠️ Prerequisite: HMS Core service has been activated in the AppGallery Connect backend

Operation instructions

HMS Core (Huawei Mobile Services) is the infrastructure layer of the Hongmeng ecosystem, providing push, payment, positioning, maps, accounts, advertising and other capabilities. The access steps for each service include: AppGallery Connect background activation → download agconnect-services.json → ohpm install the corresponding SDK → write initialization code → real machine joint debugging.

Specific operations

5.1 Push Service (Push Kit) Integration

AI assisted operation (ChatGPT):

Generate HarmonyOS Push Kit integration code PushManager.ets:
1. Introduce @hms.push module
2. Initialize PushService and obtain pushToken
3. Report pushToken to the business backend
4. Implement onPushMessage callback to process push messages
5. Notification bar message display (NotificationRequest)

5.2 Payment Service (Payment Kit) Interconnection

//Key code snippet: start payment
import { payment } from '@kit.PaymentKit';

async function startPayment(orderId: string, amount: number) {
  const request: payment.PaymentRequest = {
    merchantId: 'YOUR_MERCHANT_ID',
    orderId: orderId,
    amount: amount,
    currency: 'CNY',
    sign: computeSign(orderId, amount) // Server signature string
  };
  const result = await payment.createPayment(request);
  // result.result == payment.PaymentResultCode.PAY_SUCCESS
}

⚠️ Payment signature must be completed on the server side. The client signature code generated by AI is only used for development and testing. In the production environment, the signature must be generated by the backend and issued to the client.

Verification method

  • [ ] Push: After receiving the notification bar message on the real device, click to jump to the target page
  • [ ] Payment: The payment process in the sandbox environment runs smoothly and the callback is correct.
  • [ ] Map: MapComponent can be loaded and rendered normally

FAQ

Q: HMS service cannot be used in the simulator? A: Most of HMS Core's services (push, payment, account) rely on Huawei Mobile Services Framework and are not supported by the simulator. Be sure to use a real machine for debugging.

Step 6: Testing, debugging and performance optimization

⏱ Estimated time: 2-3 days 🎯 Goal: functional test coverage + performance baseline compliance ⚠️ Prerequisite: Function development is basically completed

Operation instructions

Hongmeng APP testing includes: DevEco Studio built-in unit testing framework (@ohos.test), UI automated testing (UI testing framework based on ArkUI), performance Profiler (CPU/memory/frame rate analysis) and real machine compatibility testing.

Specific operations

6.1 Unit test writing

AI auxiliary operation (Cursor Select function → Cmd+K):

Write a unit test for HttpUtil's request method:
- Simulate 200 OK response
- Simulate 401 Unauthorized
- Simulate network timeout (10s)
- Use @ohos.test testing framework
- Use describe/it/expect assertions

6.2 Performance Profiling

Use DevEco Studio's built-in Profiler tool to analyze APP startup time, page loading frame rate and memory usage. Focus on:

  • Is the frame rate of the list page stable at 60fps?
  • Whether the first screen FCP (first content draw) is less than 1.5s
  • Memory leak detection (whether the memory falls back after the page exits)

6.3 Crash monitoring integration

The Hongmeng SDK integrated with Sentry is used for crash tracking in production environments. Sentry has officially provided HarmonyOS SDK (@sentry/harmony), installation steps:

ohpm install @sentry/harmony

AI assistance (ChatGPT):

Generate the initialization configuration code of Sentry in the HarmonyOS project:
- Initialize Sentry.init in entry's onCreate
- configure dsn
-Set release version number
- Global uncaught exceptions are automatically reported
- Add Breadcrumb to record user operations

Verification method

  • [ ] Unit test coverage ≥ 70% (core business logic coverage)
  • [ ] Real device Profiler frame rate ≥ 55fps (60fps baseline)
  • [ ] Sentry can receive test crash logs
  • [ ] No memory leaks (the memory falls back to normal after repeatedly entering and exiting pages)

Step 7: Application publishing and AppGallery Connect listing

⏱ Estimated time: 1-2 days 🎯 Goal: The APP is successfully launched on Huawei App Gallery (AppGallery) ⚠️ Prerequisites: The test is passed and the performance indicators meet the standards.

Operation instructions

The Hongmeng APP listing process includes: signature packaging → AppGallery Connect creation application → fill in application information → upload APK (HAP package) → review and release. AI assistance is mainly used for copywriting generation and qualification information compilation of release materials.

Specific operations

7.1 Signature Packaging

In DevEco Studio: Build → Generate Key & CSR → Generate signing certificate → Build → Build HAP(s) → Select Release mode. The generated .hap file is the application release package.

7.2 AppGallery Connect background operations

  1. Log in to AppGallery Connect → Create App → Associate Signing Certificate
  2. Fill in the application name (Chinese and English), category, tag
  3. Upload application icons (multiple sizes, AI can assist in generating adaptive materials)
  4. Fill in the Application Description (Chinese and English, within 2000 words each)
  5. Upload Screenshots and Promotional Video (optional)
  6. Configure Privacy Policy URL (required)
  7. Submit for review

7.3 AI-assisted generation of publishing materials

AI assisted operation (Claude):

Please generate AppGallery Connect listing materials for the following Hongmeng APPs:
APP name: MyHarmonyApp
Core functions: [List core function points]
Target Users: [List target user groups]
Main technology stack: ArkTS + ArkUI + HMS Push
Please output:
1. Chinese application description (150-200 words)
2. English application description (150-200 words)
3. Change log (first release version)
4. Keyword list (5-10)
5. Key points of privacy policy

Access control and acceptance

  • [ ] HAP package signature verification passes, hdc app install can be installed normally
  • [ ] The application icon and screenshot size meet the requirements of AppGallery (icon 512x512 PNG, screenshot 1080x2340, etc.)
  • [ ] Privacy Policy URL can be accessed normally and the content is compliant
  • [ ] Application categories and labels are consistent with actual functions, and there are no illegal keywords
  • [ ] Confirm receipt of confirmation email after review and submission

FAQ

Q: Common reasons for AppGallery review bounce? A: The top three reasons for return: the privacy policy link is invalid or the content is incomplete (40%), the application icon contains unauthorized brand elements (25%), and the permission statement does not match the actual function (20%). Be sure to use AI assistance to check these common issues one by one before submitting.

5. Expected results

5.1 Cycle and Output

Stage Independent development (without AI) AI-assisted development Efficiency improvement
Project erection and structure 1 day 0.5 day 50%
ArkUI page development (5 pages) 8-10 days 3-4 days 60%
Business logic layer 3-4 days 2-3 days 30%
Distributed capability integration 3-5 days 2-3 days 40%
HMS Core Integration 4-6 days 2-4 days 45%
Testing and debugging 3-4 days 2-3 days 30%
Release on shelves 2-3 days 1-2 days 50%
Total period 24-33 days 12-20 days About 40-50%

5.2 Quality Standards

  • [ ] Functional integrity: All page routing is normal, interaction responses are correct, and API docking is intact.
  • [ ] Performance Baseline: First screen FCP ≤ 1.5s, list sliding frame rate ≥ 55fps, memory usage ≤ 200MB (baseline scenario)
  • [ ] Distribution capability: Data synchronization delay between devices with the same account ≤ 2s, cross-device migration success rate ≥ 98%
  • [ ] Stability: Crash rate ≤ 0.1% (based on Sentry or AppGallery Connect monitoring)
  • [ ] Compliance: complete privacy policy, accurate permission statement, and no illegal keywords

6. Frequently Asked Questions and Troubleshooting (FAQ)

Q1: Do Hongmeng applications have to be developed using ArkTS? Can't use Java or Kotlin? A: HarmonyOS NEXT (pure-blooded Hongmeng) has completely removed the AOSP code and only supports ArkTS (declarative UI) and C++ (performance-sensitive scenarios such as game engines). No longer compatible with Java API. If you are migrating from Android, it is recommended to use AI assistance to gradually refactor to ArkTS.

Q2: Can DevEco Studio be used with Cursor/VS Code at the same time? A: Recommended mixed use strategy: DevEco Studio is used for project creation, signature packaging, Profiler performance analysis and simulator running; Cursor (or VS Code + GitHub Copilot) is used for ArkTS/ArkUI code editing. Two IDEs can open the same project directory at the same time, but pay attention to the cache refresh time of DevEco Studio (about 2-3s).

Q3: How well does AI support ArkTS? Will an error code be generated? A: As a newer language, ArkTS accounts for much less than Python/JavaScript/Java in the training corpus of mainstream AI models. Actual measurement Claude and ChatGPT have a good understanding of the basic syntax of ArkTS (decorators, component declarations), but may make mistakes in the details of advanced features (distributed API, custom layout algorithm) and specific versions of APIs. It is recommended to follow the Generate → Verify → Fix cycle and compile and verify in DevEco Studio after each code generation.

Q4: What are the hard constraints on distributed capability integration? A: Three hard constraints: (1) All devices must be logged in to the same Huawei account; (2) Bluetooth and Wi-Fi (or the same LAN) need to be turned on between devices; (3) Distributed data synchronization speed is affected by device spacing and network quality, and is not suitable for high-frequency real-time synchronization scenarios (it is recommended to use independent server relay).

Q5: How to automate the testing of Hongmeng APP? A: DevEco Studio supports unit testing framework and UI automated testing based on @ohos.test (based on ArkUI component ID positioning). AI can assist in generating a test case framework, but the specific assertion logic and UI interface ID need to be filled in based on the actual code. For production environments, it is recommended to use Sentry for crash monitoring and user operation tracking.

Q6: What is the difference between Atomic Service and ordinary APP? Is the development process the same? A: Yuan Service is Hongmeng’s lightweight installation-free application form with a file size limit of 10MB and supports a ready-to-go atomized experience. The development process is roughly the same (ArkTS + ArkUI), but you need to select the Atomic Service template instead of the Application template during the packaging and signing stages. AI-assisted generated meta-service code usually requires additional attention to memory footprint and package size.

Q7: The team already has an Android APP and wants to migrate to Hongmeng. What can AI do? A: What AI is best at is syntax conversion assistance: converting Java XML layout files into ArkUI @Component code, and converting Retrofit network request encapsulation into @ohos.net.http implementation. The most obvious efficiency improvement is in the UI layer (accounting for about 60% of the migration workload). However, the business logic layer (database operations, business strategies) requires manual review step by step, and AI cannot guarantee equivalent migration.

7. Advancement and expansion

7.1 Hongmeng Intelligent Integration

HarmonyOS NEXT begins to support device-side AI capability access (based on Pangu large model or third-party model), which can achieve:

  • Device-side AI dialogue: Integrate AI chat capabilities directly into the APP, without relying on the cloud
  • Speech recognition and synthesis: Using HiAI Foundation to achieve local voice interaction
  • Intelligent image processing: client-side AI image classification, OCR recognition

7.2 Multi-device adaptive UI

ArkUI supports Breakpoint Layout (Breakpoint System), a set of codes adapted to different screen sizes such as mobile phones, folding screens, tablets, and cars. AI can assist in generating UI variant code under breakpoint conditions.

7.3 Hongmeng Yuan Service Matrix

Starting from atomic services, multiple lightweight meta-services are constructed to form a product matrix. The development cycle of each meta-service is about 3-5 days, which can be reduced to 2-3 days with the assistance of AI.

7.4 Hongmeng Performance Engineering

Advanced scenarios: Use HarmonyOS's RecyclerView equivalent component LazyForEach to optimize long list performance, use Canvas rendering to replace complex DOM layout, and use Worker threads to handle background computing tasks. AI assistance provides performance optimization suggestions and code transformation templates.

7.5 Team collaboration and continuous integration

  • Precipitate AI prompts and common code templates into the team's internal knowledge base
  • Build a CI/CD pipeline (based on the DevEco Studio command line tool), and AI assists in writing pipeline scripts
  • Use the Release tracking function of Sentry to link with version control

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