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Applied AI·August 25, 2026·1 min read

What languages are agent skills written in?

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The fact that we’re now debating “agent skill languages” is an early signal that agent ecosystems may standardize around a few dominant formats and runtimes. If you’re building skills or tools here, design for language-agnostic interfaces and clean API boundaries so you can follow the standard that actually wins.

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Samsung thinks Claude Code can help it boost chip design — but admits the AI still makes some worryingly big mistakes

Agentic coding in safety‑critical domains is already hitting the hard edge of trust—if a tool can silently reclassify real errors as “informational,” you cannot let it near unsupervised sign‑off. Treat these systems as aggressive copilots with strict guardrails, not autonomous engineers, and invest more in verification harnesses than in prompts.

Applied AI

Docs: Meta plans to launch its version of OpenClaw, codenamed Hatch, in late August or early September and its latest AI model, Watermelon, in October

A consumer agent platform (Hatch) plus a new model (Watermelon) on Meta’s timeline means agentic behavior is about to be tested at social scale, not just in dev tools. If you rely on Meta surfaces for acquisition or engagement, assume users will soon have first-party agents mediating content and commerce—and start testing how your flows behave when an agent, not a human, is the primary client.