Date & time
17:00
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AI coding agents are shipping code at a pace engineering teams can’t match — and increasingly can’t follow. A huge challenge all organizations face is finding the meaning of not only what an agent has done, but why. In comes agent explainability to help engineering teams maintain genuine understanding and ownership of the software they didn’t even write.
These autonomous agents really have to get better at explaining themselves because, while they may be doing the implementation, the human engineers have to own the results. And to be able to explain it in a way your customers, your managers, and your regulators understand.
Our panelists will bring perspectives from research, hands-on engineering practice, and product innovation — covering everything from team anxiety around shipping code no human wrote, to the guardrails and workflows that keep human judgment in the loop.
In this expert panel, learn not only why but how to build stakeholder trust by:
- Verifying your agents: Did the agent do what I asked?
- Debugging your agents: Where did it go wrong and why?
- Auditing you agents: Can I demonstrate what happened to someone else?
