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symfony.com
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Symfony AI & MCP Hackathon — Make PHP think.
…Symfony AI and the official PHP MCP SDK as far as they go — LLMs, agents, RAG, MCP servers and clients. Teams with a video and a repository up, in random order. A read-only MCP server, writt…
www.browserbase.com
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Browserbase
… beyond the API From login to task completion, Browserbase powers agents that reliably operate on the web. Web search, built for agents. Let your Agent quickly find relevant websites based o…
www.docker.com
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Mark Cavage | Docker
…. The OpenAI/Hugging Face incident exposed a new challenge for AI agent security. 17,600 attacker actions show why AI agent security can’t rely on human review. Explore the controls needed t…
fin.ai
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Fin 4. A major step toward fully agentic customer experiences
…scale: Enterprise, Startups The only helpdesk designed for the AI Agent era Intercom has every feature your team needs to resolve queries faster, deliver personalized service, engage proacti…
laravel.com
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Laravel Boost | Laravel 13.x - The clean stack for Artisans and agents
…AI-assisted development by providing the essential guidelines and agent skills that help AI agents write high-quality Laravel applications that adhere to Laravel best practices. Boost also p…
www.docker.com
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ESP32 Firmware Development with Docker Sandboxes | Docker
…cker Sandboxes (the sbx CLI) solve a newer one: letting AI coding agents work on your firmware at full speed without giving them the keys to your laptop. This article walks through a practic…
www.notion.com
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What’s New – Notion
…Get answers, instantly—with citations. Keep work moving 24/7 with agents. Keep up with the latest releases, improvements, and fixes. Today, Notion AI gets some major upgrades. Introducing:→ …
www.docker.com
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The Untrusted Autonomous Workload and AI Sandboxes | Docker
…e whole stack. I’d spent hours writing a skills file to teach the agent about my blog’s architecture, how deployment worked, what not to touch. And it worked. Claude Code rewrote components,…
developer.aliyun.com
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人工智能平台PAI-最新-阿里云开发者社区-阿里云
…”可选项”走向”默认项”，从”辅助工具”走向”原生能力”。企业级AI系统正在经历一次关键跃迁：从早期的模型调用，走向工具编排，再走向Agent工作流，并最终迈向知识执行。本文系统梳理这一技术演进路径，分析各阶段的核心特征、技术瓶颈与突破方向，提出企业级AI Native系统的三层架构模型，并探讨AI深度嵌入软件工程、系统运行和组织流程的实践路径。我们认为，AI Native的终…
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