Confidently wrong AI has a price tag, and in 2026, it's a line item. Your AI agent will never tell you it's wrong — it doesn't know it's wrong. It ships code and answers customers with total confidence, whether it's right or has just invented a refund policy that doesn't exist. Confidence isn't correctness, and an agent can't grade its own work. Failures look like green checkmarks — until a customer or regulator finds one. 99% of organizations deploying AI report losses, averaging $4.4M each. The fix: an independent layer that verifies agents before they reach customers, not after.
Sparsh Kesari
Developer Relations Manager
TestMu AI
Sparsh Kesari is a Developer Relations Manager at TestMu AI, where he works at the intersection of developer communities and the fast-changing world of AI and software testing. He partners closely with customers, community members, and industry partners, working alongside them to sharpen how they build and test. It is a role that runs both ways: to the community he represents the company, and to the company he represents the community. He speaks at events and hosts meetups, digging into the hard problems teams face today and the practical ways to solve them. Much of this returns to a single idea: in AI systems, confidence is not the same as correctness, and testing has to evolve to keep agents accountable.
At heart, Sparsh is a developer. He builds open source projects and runs the open source office at TestMu AI, where he champions shared knowledge and community-led growth. With a full-stack foundation and a hands-on tester's instinct, he brings a practical, builder's perspective to every conversation about the future of quality. He hosts regular meetups across the globe and speaks at conferences, sharing what he's learning about how to build, test, and ship in an AI era, and keeping quality at the center as autonomous agents reshape how software gets made.