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Humanize workflow adds layered review to AI code generation

The new Humanize system uses separate builder and reviewer agents with human‑approved plans, aiming to catch bugs that single agents miss.

NoteBy Published by Oossa: 1 min read

Researchers led by Sihao Liu released Humanize, a multi‑agent workflow for AI‑assisted coding. A human signs off a plan, a builder agent writes code, and a reviewer agent from a different vendor decides when the work is complete. The system enforces 72 mechanical checkpoints and alternates between the two agents, so a defect survives only if both miss it. In early deployment it collected 1,468 GitHub stars and handled a 567‑file gem5 migration under upstream review.

Why it matters

It offers developers a way to reduce hidden bugs in AI‑generated code by adding independent, automated review steps.

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