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Working effectively with AI coding tools requires a 'lead dev' mindset — the same skills used to mentor teammates through API design, feedback loops, and architecture translate directly to guiding AI. Developers who focused solely on personal output may struggle, while those experienced in elevating others will find AI collaboration more natural.

Something that I think goes under-emphasized is how much AI coding demands a 'lead dev' mentality.

If you spent your pre-AI career trying to level up your teammates

(through API design, feedback loops, architecture)

Then working with AI will feel natural.

If you only focused on your own output, it will feel super bad.

<p>Something that I think goes under-emphasized is how much AI coding demands a 'lead dev' mentality.

If you spent your pre-AI career trying to level up your teammates

(through API design, feedback loops, architecture)

Then working with AI will feel natural.

If you only focused on your own output, it will feel super bad.</p>

Peter Steinberger 🦞

AI coding tools require a 'lead dev' mentality — developers who spent their careers following instructions rather than making architectural decisions may struggle, while those with senior/lead experience are better positioned to direct AI effectively.