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Home»Artificial Intelligence»What happens when engineering teams reorganize around AI agents
Artificial Intelligence

What happens when engineering teams reorganize around AI agents

primereportsBy primereportsMay 9, 2026No Comments1 Min Read
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Agentic AI is reshaping team structures

Paul Klein IV, founder and CEO of Browserbase, delivered the night’s most memorable line while discussing the speed of AI adoption inside engineering teams. “If AI is not doing your whole job it’s a skill issue at this point,” said Klein.

Abhi Aiyer, founder and CTO of Mastra, said the result is dramatically smaller teams capable of executing much larger scopes of work. “You can have one person run a whole feature project because they have an army of one to infinity AI agents behind them,” said Aiyer.

The AI-generated code bottlenecks have moved

Several panelists argued that AI systems are now generating software faster than organizations can safely review and operationalize it. Aiyer said that engineering teams are opening significantly more pull requests while review throughput becomes the new bottleneck.

Klein stressed the importance of throttling experimental AI output to appropriately lower risk in deployment environments. “If you are in the critical path and customer facing, no slop,” he said. “If you are not critical path, not customer facing, slop away.”

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