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What did Huawei announce on October 8, 2026, about the public betas of DevEco Studio, DevEco Code and DevEco CLI for HarmonyOS PCs, including DevEco Studio’s transition from invitation-only testing, supported MateBook models and MatePad Edge and minimum system requirements, its B

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On October 8, 2026, Huawei opened DevEco Studio for HarmonyOS PCs to public beta, moving it beyond invitation-only testing, and announced the first HarmonyOS PC public betas of DevEco Code and DevEco CLI. Together, they were presented as a native toolchain for building and debugging HarmonyOS applic
On October 8, 2026, Huawei opened DevEco Studio for HarmonyOS PCs to public beta, moving it beyond invitation-only testing, and announced the first HarmonyOS PC public betas of DevEco Code and DevEco CLI. Together, they were presented as a native toolchain for building and debugg
## DevEco Studio: native IDE

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DevEco Studio: native IDE

Supported devices: HUAWEI MateBook Pro, MateBook Fold Ultimate Design, MateBook 14 HarmonyOS edition, MateBook Fold Ultimate Design Kirin X90, MateBook Pro S, and MatePad Edge. 12
Minimum requirements: HarmonyOS 7.0.0.107 or later, at least 16 GB RAM, and at least 100 GB storage; the evidence says “hard disk,” rather than explicitly specifying 100 GB of free space. 12
Foundation and efficiency: Studio uses Huawei’s self-developed BitFun—毕方—technology foundation, with claimed fast startup and low resource consumption. 14
Editing and project management: Reported capabilities include code editing, intelligent completion, error提示, breakpoint debugging and memory analysis, alongside plug-in integration and multi-module project management. 14 15
Native debugging: Huawei’s announcement described starting debugging on the HarmonyOS PC within seconds without installing an emulator, with switchable phone, tablet and foldable layouts. 14
Two-way preview: Huawei’s documentation confirms two-way, real-time and multi-device UI previews for inspecting layouts and seeing code results while editing; the supplied excerpts do not establish the precise source-to-preview and preview-to-source interaction mechanics of this PC beta. 1 6
Integrated AI: DevEco Code is integrated into Studio, allowing developers to use HarmonyOS knowledge, tools and Skills inside the IDE for requirements analysis, solution design, code generation, verification and repair. 14

DevEco Code: AI-assisted development

Models: The announcement lists built-in GLM-5.3 and GLM-5.1 models, user-configurable third-party models, and periodic upgrades following industry model development. 12
Harness: Huawei claimed its Harness improves HarmonyOS application compilation-pass rates and task-completion rates; the retrieved evidence provides no numerical improvement or independent benchmark. 12
HarmonyOS grounding: Code integrates a specialized HarmonyOS knowledge base, Skills and MCP tools. 12
Workflows: Plan, Build and Goal cover planning, human–AI collaborative implementation and autonomous execution across tasks of different complexity. 12
Verification: Related reporting describes end-to-end requirements implementation, code generation and repair, followed by compilation and runtime verification. 12

DevEco CLI: capabilities for other agents

Agent integration: Retrieved reporting describes an init command that deploys Skills into other agent tools, while Huawei’s developer material confirms that CLI exposes official knowledge and Skills to a range of development tools. 10 3
Command-line development: Huawei’s official tool overview lists project creation, syntax checking, compilation/building and runtime verification among the atomic development capabilities supplied through its tools, official knowledge base and Skills. 14
Skills library: Reporting describes more than 70 Skills, while official material confirms support for ArkTS development, code repair, knowledge retrieval and multi-device adaptation. 10 3

What “developing HarmonyOS on HarmonyOS” means

Studio supplies the native visual IDE and debugging environment, Code supplies HarmonyOS-aware AI development, and CLI makes development capabilities available to other AI agents; collectively, Huawei positioned them as improving the workflow from development and debugging through app publication. 54 12 3

Evidence limits: Insufficient evidence in the supplied excerpts to independently confirm the GLM models’ Zhipu AI attribution, the “manually calibrated” knowledge-base description, the complete device-management command list, or exact autonomous-verification behavior. The efficiency and Harness improvements should be treated as Huawei’s claims, not independently established results.

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