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Search results for “Coding Agents”

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249 results for “Coding Agents”

  1. goose brings AI agents locally to desktop and terminal

    #goose#Block#Agentic AI Foundation

    means goose is not limited to one task: it can assist with coding, structure research, analyze data, edit files, or run repeatable processes. A second important point is model choice. goose lists more than 15 providers,

  2. IBM presents a 2026 operating model for enterprise AI

    #AI#IBM#watsonx Orchestrate

    model, but an operating model built around four blocks: agents, data, automation and hybrid infrastructure. IBM is framing AI as an organizational and governance issue, not just a tooling question. watsonx Orchestrate

  3. SafeKeep shows why tool schemas make AI agents less safe

    #SafeKeep#AI Agent Security#Prompt Injection

    Matter, examines an uncomfortable detail of modern AI agents: the risk is not only in the model's capabilities, but also in the way external tools are described inside the prompt. The authors show that schema-formatted

  4. The breakout files: OpenAI, Claude, and Kimi compared

    #AI Agents#OpenAI#Claude

    In the summer of 2026, control failures involving agents from OpenAI, Anthropic, and Moonshot AI became public in quick succession. Headlines can make this sound like three conscious systems escaped from prison. The

  5. LightAgent Favors Lean Agents Over Framework Weight

    #LightAgent#Open Source AI#AI Agents

    framework for developers who want to build their own agents without adopting a large platform immediately. The project describes itself as a lightweight agent framework with memory, tool use, MCP support, skills, and

  6. Lightpanda rebuilds browser automation for AI agents

    #Lightpanda#Browser Automation#AI Agents

    it in Zig specifically for web automation and AI agents. This matters because conventional browsers can consume substantial memory in large crawling or agent runs, while every model call adds latency, cost, and another

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