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Serverless MCP Brings AI-Assisted Debugging to AWS Workflows Within Modern IDEs

Serverless computing has significantly streamlined how developers build and deploy applications on cloud platforms like AWS. However, debugging and managing complex architectures—comprising services such as Lambda, DynamoDB, API Gateway, and IAM—often requires developers to jump between logs, dashboards, and local…

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A Step-by-Step Coding Guide to Defining Custom Model Context Protocol (MCP) Server and Client Tools with FastMCP and Integrating Them into Google Gemini 2.0’s Function‑Calling Workflow

In this Colab‑ready tutorial, we demonstrate how to integrate Google’s Gemini 2.0 generative AI with an in‑process Model Context Protocol (MCP) server, using FastMCP. Starting with an interactive getpass prompt to capture your GEMINI_API_KEY securely, we install and configure all…

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OpenAI Releases a Practical Guide to Identifying and Scaling AI Use Cases in Enterprise Workflows

As the deployment of artificial intelligence accelerates across industries, a recurring challenge for enterprises is determining how to operationalize AI in a way that generates measurable impact. To support this need, OpenAI has published a comprehensive, process-oriented guide titled “Identifying…

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ByteDance Releases UI-TARS-1.5: An Open-Source Multimodal AI Agent Built upon a Powerful Vision-Language Model

ByteDance has released UI-TARS-1.5, an updated version of its multimodal agent framework focused on graphical user interface (GUI) interaction and game environments. Designed as a vision-language model capable of perceiving screen content and performing interactive tasks, UI-TARS-1.5 delivers consistent improvements…

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