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Agentic coding tools have collapsed the friction of producing plausible software; output is no longer an issue. However, they have not collapsed the friction of knowing what is worth building, whether it fits the system, or whether users will change their behavior because of it, the much-desired outco...
"Human in the loop" is a phrase we hear constantly in the AI space. It's meant to be reassuring—reminding us that humans are still in control, still the ultimate decision-makers.
But after a recent conversation with a leader during an AI coaching sprint, I've realized that "human in the loop" is actually too small a vision. The real shift isn't about staying in the loop...
The Sprint Review is wrapping up.
Someone walks through the seven items the team finished this Sprint.
A stakeholder asks the only question that ever matters: “Can a customer use any of this yet?”
Pause.
“Almost. We just need to finish the integration tests.”
“And the migration script.”
“And one approval.”
“And a fix on stagin...
What I see is that Google is removing the border between imagination and reality.
On 19 May 2026, in the I/O 2026 keynote, Google announced its new AI model, Gemini Omni, that significantly extends the possibilities. The idea is simple:
Create anything from anything.
It is like Nano Banana for video! G...
Article 7 of 9 in the series.
Picture a Product Owner and a Developer, together in an afternoon Teams call, reviewing a story that was researched, drafted, and designed by their Refinement Agent in the morning. The item is well-written. Acceptance criteria are tight. Dependencies are flagged. It would sail through a normal refinement.
The problem is one n...