Coding Agent Teams Outperform Solo Agents: 72.2% on SWE-bench Verified

Most AI coding agents work alone. You give them an issue, they figure it out, they hand you a fix. It's the AI equivalent of a lone wolf developer — capable, but not how real software teams actually operate. A team of researchers at Agyn asked a different question: what if instead of a single agent, you used a coding agent team — with real roles, real review loops, and real coordination? The results are hard to ignore. The Idea: Stop Treating Issue Resolution as a Solo Task Real software development involves coordination. A problem lands, someone researches it, someone else implements a fix, a reviewer pushes back, things iterate. The system that emerges from that process is more robust than anything one person (or one agent) would ship alone. The Agyn system — described in a paper published on arXiv — encodes this directly. Rather than routing a GitHub issue through a single agent with a big context window, it spins up a team: Manager — coordinates execution, communication, and knows