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中国开源迎来“成熟时刻”:开源鸿蒙和开源欧拉毕业,新一代“开源+AI”基础设施AtomGit正式上线
Feng Huang Wang·2025-11-26 03:23

Core Insights - The 2025 Open Atom Developer Conference held in Beijing highlighted the graduation of two significant open-source projects, Open Harmony and Open Euler, marking a pivotal moment in China's open-source ecosystem [1][2] - The graduation signifies not a departure but a maturation of these projects, indicating their stability and readiness for broader application in the industry [2][3] - The emergence of AtomGit as a new generation "open-source + AI" infrastructure platform represents a significant advancement in the integration of AI development processes [1][9] Group 1: Graduation of Open Source Projects - The graduation of Open Harmony and Open Euler reflects their successful evolution over the past 4-5 years, transitioning from exploration to maturity [3][8] - Open Harmony has undergone 10 major iterations since its contribution to the foundation in September 2020, attracting over 9,700 core code contributors and producing more than 130 million lines of code [3] - Open Euler has completed 12 major iterations since its open-source launch in 2019, gathering 23,000 code contributors and serving over 5.5 million users across various industries [3][5] Group 2: Value Creation in Real-World Applications - Open Harmony has expanded beyond consumer devices into critical industry applications, including micro-satellites, industrial control systems, and banking services, establishing itself as a "universal language" across sectors [4][6] - Open Euler's strength lies in its deep integration within key sectors such as government cloud services and energy management, creating high switching costs and strong industry ties [5][6] - Both projects are not merely single-point replacements but are generating scalable and replicable value in real-world applications [6][7] Group 3: Advancements in AI Infrastructure - AtomGit addresses the structural gap in AI deployment by integrating code, models, data, and computing power into a unified engineering process [9][10] - This platform aims to lower the barriers to AI commercialization in China, facilitating faster model iterations and easier delivery of industry solutions [10][11] - The developments signify a shift towards a more cohesive and mature technological ecosystem in China, with a focus on foundational stability and platform unification [11]