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Alibaba Cloud Launches AI-Powered IDE for Developers

Alibaba Cloud has officially launched its Tongyi Lingma AI IDE, marking a significant advancement in intelligent programming tools. Available for free download, this native AI development environment integrates deeply with the open-source model Qwen3, offering developers a smarter way to code.

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The standout feature is its programming intelligent agent capability. Developers can simply describe their coding tasks, and the system autonomously handles engineering perception, code retrieval, and tool invocation. This eliminates much of the manual work traditionally associated with coding. The IDE comes pre-loaded with multiple tools, removing the need for separate plugin installations.

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What sets Tongyi Lingma apart are its advanced memory and prediction functions. The system learns from developers' habits and conversation history through long-term memory, while its in-line suggestion prediction anticipates the next likely code modifications. A simple Tab key press can complete complex coding sequences.

The IDE also introduces innovative in-line chat functionality, allowing natural language conversations directly within the code editor. This means developers can ask questions or make adjustments without switching contexts - all within the same file.

Adoption rates speak volumes about its impact. The Tongyi Lingma plugin has seen over 15 million downloads and generated more than 3 billion lines of code. Major Chinese enterprises including FAW Group, NIO, and China Zhonghua Insurance have already integrated it into their development workflows.

For developers tired of context-switching between multiple tools, could this be the unified solution they've been waiting for? Alibaba Cloud certainly thinks so, positioning Tongyi Lingma as not just another IDE, but a comprehensive intelligent programming platform.

Key Points

  1. Alibaba Cloud's Tongyi Lingma AI IDE combines Qwen3 integration with advanced coding assistance features
  2. Programming agents automate tasks based on natural language descriptions
  3. Long-term memory and predictive coding streamline development workflows
  4. Over 15 million plugin downloads demonstrate rapid market adoption
  5. Major corporations have implemented the tool in their development processes

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