The agentic era has arrived. LLMs are writing application code, generating tests, and increasingly closing pull requests with minimal human review. But there is a blind spot at the heart of this workflow that almost nobody is talking about: AI agents cannot actually see what they build.

An LLM can generate a flawless-looking component and ship it with passing assertions, while the rendered UI is broken in ways no functional test will catch. Overlapping elements, clipped text in the third locale, a checkout button that disappears on Safari, or a brand color that drifted two shades off. The code compiled. The tests passed. The user cannot complete the purchase.

In this session, Adam Carmi, CTO of Applitools, will unpack why this gap is widening as AI agents take on more of the SDLC, and demonstrate what it looks like to give those agents working eyes using visual validation. We will watch an agent build a feature, deploy it, evaluate the rendered result the way a user would, detect a regression, self correct, and ship, all inside an MCP driven workflow that plugs into the IDEs and pipelines your teams already use.

You will leave with a clear view of where AI assisted development is accelerating quality, where it is silently accumulating UI risk, and what the verification layer looks like for teams already operating in the agentic loop. If your engineers are using Copilot, Cursor, or Claude Code to ship to production, this is the missing capability you have not named yet.