AI didn’t fail because developers refused to use it.

It’s failing when “almost-right” code creates more debugging and tool sprawl creates more context switching.

In this episode, we unpack what the latest developer survey data signals for engineering leaders: high AI adoption, low trust, rising rework, and why more tools do not automatically mean more productivity.

We cover:

- how “almost-right” AI slows teams down

- why tool sprawl is now a DevEx problem

- what a guard-railed AI policy looks like

- what engineering leaders can do in the next 48 hours

If you lead engineering, platform, or developer experience, this episode will help you use AI like a junior pair programmer, not an oracle.

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Stay tuned. 

Regards, Top Voice.

Maido guys? 👶🏻🧑🏻‍🦱👩🏻‍🦳🧔🏻‍♂️

Kon'nichiwa min'na 😃😄😁 

Watashi wa genkidesu 😎🤩🤟🙌 

Wie Geht's guys? 👩🏻‍🦱👱🏻‍♂️🧔🏻👳🏻‍♂️ 

Mir geht's gut!!!✌️🤘🙌

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https://www.linkedin.com/newsletters/7423434292346839040/ 

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