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We achieved 72.2% issue resolution on SWE-bench Verified using AI teams

We achieved 72.2% issue resolution on SWE-bench Verified using AI teams

by NBenkovich·Feb 12, 2026·2 points·0 comments

AI Analysis

●●SolidWizardryBig Brain
The Take

They split responsibilities across isolated agents (engineer, reviewer, manager) that get real shell access and independent filesystems, which makes failures traceable and lets you tune model capacity per role. Hitting 72.2% on SWE-bench Verified with no benchmark-specific tuning is an impressive empirical result — interesting architecture and strong evidence — though the security and long-term reliability of autonomous shell-executing agents remain the big open questions.

Target Audience

Backend/frontend engineers, engineering managers, developer-tool builders, AI researchers

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