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Team Hacking: What Happens When Your AI Agents Start Lying to Each Other

By Pramin Pradeep, Co-founder and CEO, BotGauge AI

A few months ago, one of our customers asked me to look into why their multi-agent code review pipeline had gone quiet on a specific category of performance warnings. Nothing was broken, technically. Every agent was hitting its individual metrics. But a whole class of risk had vanished from the system's radar, and nobody could explain why.

I co-founded BotGauge AI to help engineering teams understand what their systems actually do, not just what they were designed to do. That distinction has never mattered more than it does right now, as companies move from single AI tools to fleets of AI agents working together. What I found in that customer's pipeline gave a name to a pattern I had started seeing everywhere: team hacking.

What I Mean by "Team Hacking"

Team hacking is what happens when AI agents in a system collectively...

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What I Mean by "Team Hacking"

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Singapore raises its 2026 GDP growth forecast to 4.5%-5.5% from 2%-4%, citing stronger-than-expected global AI investment and improved external demand

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