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Search results for “Coding Agents”

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247 results for “Coding Agents”

  1. vm2 flaws show why AI agents need real sandboxes

    #AI Security#vm2#Node.js

    for traditional web services. Many automation platforms, coding assistants and AI agents run small scripts, plugins or user-defined logic. If isolation breaks, what should have been a limited tool call can become

  2. Gated DeltaNet-2 separates remembering and overwriting in AI models

    #Linear Attention#NVIDIA Research#AI Models

    make long-context capability cheaper. That matters for coding agents, retrieval systems, and applications where a model must keep many small facts aligned at the same time. In plain language Imagine a heavily used note

  3. Microsoft’s MDASH finds 16 Windows flaws with AI agents

    #Microsoft#MDASH#AI Security

    language model, but with more than 100 specialized AI agents that find suspicious paths, challenge each other and, where possible, prove the issue technically. The concrete trigger is strong enough to be more than a

  4. Steel gives AI agents a controllable browser

    #Steel#Browser Automation#AI Agents

    What this is about Steel is browser infrastructure for AI agents. The product provides real browser sessions through an API so agents can open websites, operate forms, create screenshots, extract content and run longer

  5. Arcade gives AI agents controlled rights to real tools

    #Arcade.dev#AI Agents#MCP

    as a usable runtime for the Model Context Protocol stack: agents can call external tools while authentication, authorization, policy checks, and execution live in a technical layer. What Arcade actually does Arcade

  6. Google’s AI review finds 100 critical flaws in two days

    #Google Threat Intelligence#Mandiant#AVDH

    source-code review into a fixed sequence of specialized agents. An initial agent creates a threat model: What kind of application is this, which parts are reachable, and which directories should be excluded? A human

  7. goose makes the AI agent local and extensible

    #goose#AI Agents#Open Source AI

    which makes it relevant for teams that do not want agents to exist only as a closed SaaS feature. For users, the important question is control: where does the agent run, which tools can it call, which models does it use,

  8. AutoJack: one web page is enough to hijack an AI agent

    #AI#Security#Microsoft

    URL field or a prompt injection will do. Why it matters AI agents that browse the web on their own are increasingly being built into workflows in 2026. AutoJack demonstrates that such an agent can blur the line between

  9. Google Antigravity 2.0 Becomes an Agent Command Center

    #Google Antigravity#AI Coding#Developer Tools

    Google Antigravity 2.0 is Google’s attempt to treat AI coding as more than autocomplete inside an editor. On May 19, 2026, Google introduced version 2.0 as a platform for working with agents: a desktop app, CLI and SDK

  10. Microsoft Agent Governance Toolkit: guardrails for AI agents

    #Microsoft#Agent Governance Toolkit#AI Security

    toolkit for runtime governance of autonomous AI agents. Microsoft describes the project as an MIT-licensed monorepo with packages for policy enforcement, identity, sandboxing and reliability engineering. The focus is not

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