How is your team handling hardware validation for AI-generated code?
I have been using Claude code pretty heavily for HMI development over the past few weeks and it's genuinely changed how fast we move. the agent handles the loop and writes the code, runs shell commands, iterates. stuff that used to take a sprint takes a few days.
What I'm seeing is that the testing side hasn't changed a lot. the agent produces code and then it just... hands off to the same manual QA process we've always had. We're running a 2025 code generation workflow feeding into a 2015 validation workflow lol.
We did some experimenting with closing that loop using askui as it runs vision-based tests on the actual hardware. We're still early with this but the difference is already visible.
I am curious if anyone else is trying to close this gap, what are you using?