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"The human brain just can't adapt to this pace fast enough. The volume of new workflows is overwhelming, skill requirements are shifting overnight, and people are suddenly expected to match AI speed. ​Reviewing AI-generated code is a prime example — effectively auditing it often takes way more time and focus than writing it from scratch. It's high-stress, mentally taxing work that leads straight to burnout. People actively leveraging these tools end up overworked simply trying to keep up with the output. ​AI is taking over so many processes right now and gaining crazy momentum, but we're nowhere near a real balance between humans and AI in daily work yet. We'll probably have to wait until we hit some kind of limit or wall before things start rebalancing back to normal."

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"- Design agentic creative workflows: Build practical agent harnesses that orchestrate models, tools, state, memory, asset processing, human review and quality checks across multi-step creative production tasks."

"- I don't know if that level of depth of the whole organization committing is that common today. I think it will be, right? It can also lead to slop because if every PM can now build features, even if they're not committing to production code, if they can build features and they can build a basic feature in an hour or two, not one prompt, instead of maybe getting a feature out a quarter, you could build a hundred features a week if you wanted. And it rises, even inadvertently arises level of slop. How does the organization process a hundred features built by a non-developer? If you have 50 people on your PM team, that could be 2,000 features a month that are half-baked and work and are intellectually interesting. - So taste still really matters a lot."