Agents & dev tools · 24 October 2026

University of Michigan Professor Launches Jac Language and Jaseci Runtime for AI Agents

Professor Jason Mars introduced Jac, a Python‑like language, and the Jaseci runtime that treat AI agents as first‑class entities, citing the $165 K Anthropic token cost incurred by a developer to convert a polyglot stack.

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Evaluate Jac for building internal agent pipelines; compare development speed against existing stacks.

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