Deep Agents architecture optimized for complex workflows. Figma MCP server integrates with Copilot for faster design-to-code. Codnaut partners with DMCC AI Centre to drive AI innovation. SGLang adds adaptive learning features.
Main Content
Architecture optimization for Deep Agents: Introduces detailed system prompts, planning tools, sub-agents, and file system tools to handle long-running multi-step workflows, enhancing the ability to process complex tasks.
Integration update for the Figma MCP server: Combined with Copilot to assist developers in quickly generating accurate design-aligned code, improving the efficiency of design-to-code conversion.
Industry collaboration on AI innovation: Strategic partnership with DMCC AI Centre, leveraging expertise in AI software development to drive AI adoption and innovation in the UAE region.
Functional support for SGLang: Adds features for learning from adaptive environments, boosting the model's future performance and adaptability.
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