[0xecro1]

Hi, I’ve been working with embedded Linux for 18 years.

I’ve been actively trying to apply AI to our field, but the friction is real. We require determinism, whereas AI fundamentally operates on probability.

The issue is the Pareto Principle in overdrive: AI gets you to 90% instantly, but in our environment, anything less than 100% is often a failure. Bridging that final 10% reliability gap is the real challenge.

Still, I view total replacement as inevitable. We are currently in a transition period where our job is to rigorously experiment and figure out how to safely cross that gap.

Good luck!

[jacquesm]

And by not doing the 90% yourself you lack the understanding you need to be able to tackle the remaining 10%.

[0xecro1]

Absolutely agree. I do vibe-code, but I still review every line of that 90% — I don't move forward until I understand it and trust the quality. Right now, that human verification step is non-negotiable.

That said, I have a hunch we're heading toward a world where we stop reading AI-generated code the same way we stopped reading assembly. Not today, not tomorrow, but the direction feels clear.

Until then — yes, we need to understand every bit of what the AI writes.