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Search results for “Coding Agents”

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249 results for “Coding Agents”

  1. OpenAI’s agent incident was larger than first known

    #OpenAI#Hugging Face#AI Security

    no longer theoretical. For companies, the lesson is blunt: agents must be treated as non-human actors with their own identities, logs, limits, and shutdown paths. A sandbox label is not enough when package proxies,

  2. Open Deep Research makes research agents easier to rebuild

    #Open Deep Research#Research Tools#Open Source AI

    A product team wants to understand which open-source agents exist for browser automation. Instead of manually comparing ten tabs, a developer starts Open Deep Research with a clear task: find ten projects and record

  3. EU explains when AI must identify itself as AI

    #EU AI Act#Article 50#AI Regulation

    AI-generated public-interest text. The reading for AI agents is especially important. William Fry notes that an agent should disclose not only its artificial nature but also on whose behalf it is acting. That matters

  4. MCP goes stateless: agent infrastructure moves closer to the web

    #Model Context Protocol#MCP#AI Agents

    That may sound dry, but it matters to anyone trying to run agents as production infrastructure rather than demos. A tool server can now be scaled, routed, and observed more like an ordinary HTTP service. That operational

  5. Cloudflare cuts 1,100 jobs in shift to AI-first operating model

    #Cloudflare#AI-First#Agentic AI

    that means: anyone without a measurable 2026 strategy for coding, support and operations agents will face pressure to justify staffing levels sooner than expected. For HR leaders, the importance of re-skilling and honest

  6. OpenAI Builds Its Own Inference Chip With Broadcom

    #OpenAI#Broadcom#AI Chips

    intended to make ChatGPT, Codex, API products, and future agents faster, more reliable, and cheaper to operate. What Jalapeño actually does Jalapeño is not a standard server processor and not a general-purpose graphics

  7. Firecrawl makes the live web usable for agents

    #Firecrawl#Web Data#Browser Automation

    is a web-data tool for teams that want to connect AI agents, RAG systems, or research workflows to current websites. Instead of building a custom mix of search API, headless browser, scraper, parser, and retry logic,

  8. Mastra brings AI agents into the TypeScript stack

    #Mastra#AI Agents#TypeScript

    is about Mastra is a framework for AI applications and agents with a modern TypeScript stack. The interesting part is not building yet another chatbot. Mastra bundles agents, workflows, memory, workspaces, MCP support,

  9. Msty combines a local AI workspace with autonomous tasks

    #Msty#Local AI#Private AI

    models are used, their data flows and terms still matter. Agents with file access need clear sandbox boundaries. A wrong folder or overly broad permissions can cause real damage. Local models can be slower or weaker than

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