Episode Details

BONUS: Your Developers Got 20x Faster — Now Watch Your Product Managers' Heads Explode

Clarke Ching is "The Bottleneck Guy" — and he just spotted the bottleneck that AI is about to create in every software organization. It's not in the code. It's inside the heads of the people who decide what gets built. In this conversation, Vasco and Clarke unpack why speeding up developers with AI tools pushes the real constraint upstream — onto product managers, designers, and leaders — and what to do before cognitive overload crushes the people your organization depends on most.

Every Business Has a Bottleneck — Most Are in the Wrong Place

"Every single client I have is a detective puzzle. We're looking for this quiet killer sitting inside their business, siphoning off money. And if you look at them without the idea of going 'where's the bottleneck?' — you mistake the busyness for productivity."

Clarke approaches Theory of Constraints like a detective story, not a physics lecture. Every business has a bottleneck — the narrowest point that chokes throughput. The question isn't whether you have one, it's whether it's in the right place. In software development, Clarke argues, the bottleneck should almost always be the developers. Not because they're slow, but because they're the pacing resource — like the aircraft carrier in a naval fleet that sets the speed for everything else. When developers are the bottleneck, the people upstream (product managers, designers, architects) have time to curate high-quality, high-value inputs. The people downstream (testers, ops) can deliver fast feedback. Everything flows. But when the bottleneck drifts somewhere else — and nobody notices — everyone gets busy, nothing flows, and the organization mistakes that busyness for productivity. Clarke's latest book, The Speed Book, lays out how to find where your bottleneck actually is and move it to where it belongs.

AI Just Moved the Bottleneck — And Nobody's Talking About It

"Just imagine one person trying to feed 100 developers. It's ridiculous. Everyone goes, 'oh, that's just crazy.' But that's kind of going to be what it's like."

Here's the problem: AI coding tools — Claude Code, Cursor, Copilot — are making developers dramatically faster. If a team of 5 developers becomes 20x more productive, that's the equivalent of 100 developers. But you still have one product manager feeding them. The bottleneck hasn't disappeared — it's moved upstream. And when a bottleneck moves to the people who make product decisions, three things happen: they cut corners on requirements (shipping half-baked ideas because the team can turn them around fast), they feed developers busy work just to keep them occupied, and — worst of all — they lose the time needed to push through complexity to find elegance. Clarke references Steve Jobs's insight: Apple kept working past "peak complexity" until they reached "peak simplicity." That's where great products come from. But a product manager juggling work for 100 developers has no time for that journey. Elegance goes out the window.

Why Giving AI to Product People Almost Makes Things Worse

"If you want to wear your dog out so she sleeps, don't take her for long walks. Make the dog