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.