Lancetta
I like that Lancetta frames this as a rhythm problem instead of a tool problem. Most of the chatter around coding agents is about which model wins or how many tokens you can burn. The harder question, the one that actually decides whether your startup ships, is when to step in and take the wheel. Push too hard and you get confident nonsense dressed up as working code. Ease off too early and you're babysitting a bot instead of building.
What I'd want to know next is how Lancetta measures that tipping point. Is it test coverage, code review friction, or just a gut feeling after a few too many broken builds? The best guidance here would give founders something concrete to watch for, a cue that tells you the agent has moved from helpful to harmful.
I land on the side that this is a people skill wearing a technical costume. The startups that win with agents will be the ones whose founders develop good instincts for when to push, when to pause, and when to just write the damn function themselves.