OpenBMB's 1B-parameter model MiniCMP 5 brings MCP support and agentic tool use to on-device AI—but it has trouble with logic ...

Writing code that interacts with LLM services requires bridging two different worlds. Use these tips and techniques to bind ...

Explore our detailed Claude AI review, highlighting its features, performance, and user experience. Make an informed choice ...

Kiro, Spec Kit, Tessl, and Zenflow offer a more systematic and structured approach to developing with AI agents than vibe ...

State and local governments are under real pressure to move from experimentation to execution for artificial intelligence. Constituents expect faster services, more transparency and digital ...

Four research teams found the same confused deputy failure in Claude across three surfaces in 48 hours. This audit matrix maps every blind spot and fix.

Red Hat Desktop, AI skills repositories, and Fedora Hummingbird Linux are behind a broader push to operationalize agentic development across hybrid environments.

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Live capture — an MCP client builds the scene and orbits the camera entirely over the local TCP socket. Reproduce with scripts/capture_demo_gif.py. Native C++ handlers — not Python Remote Execution.

MCP (Model Context Protocol) provides a universal standard for connecting LLMs to external data sources and tools, eliminating the need to manually copy-paste context into a chat session and enabling ...

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