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    AI-native Developer: The New Era of Product Development

    AI DevelopmentProduct ManagementSoftware EngineeringCareer Development

    AI-native Developer: The New Era of Product Development

    Wow, an interview with Head of Product Claude - and there's a significant shift many are missing. The main point: the old development model is dying. But it's not even about speed.

    The type of developer who even makes sense is changing

    Speed: from 6 months β†’ to a day

    PRD is dead. The roadmap is no longer a plan - it's a flow of priorities.

    But that's not the key.

    πŸ’₯ The bottleneck is no longer in code

    When AI writes code, the scarcity shifts:

    πŸ‘‰ not "how to do it"

    πŸ‘‰ but "what's even worth doing"

    And here a new class emerges:

    AI-native developers

    These are not people who "know how to use Copilot."

    These are those who:

    • think in terms of product, not tasks
    • can formulate intent, not tickets
    • quickly build and discard hypotheses
    • understand UX, not just code
    • work through agents, not by hand

    πŸ‘‰ One such developer = a team of 10 "classical" ones

    βš™οΈ We already see this in the data

    When we match specialists, it's clear:

    • you can perfectly match the stack (90%+ match)
    • and completely miss on actual effectiveness

    Why?

    Because a resume doesn't show:

    • product thinking
    • ability to work with AI
    • iteration speed
    • ability to deliver a usable result

    πŸ€– That's why we started highlighting something different

    Not just "skills," but:

    • AI-native behavior
    • product development skills
    • ability to build end-to-end solutions
    • working with uncertainty, not according to specs

    In fact:

    πŸ‘‰ we are not looking for "developers"

    πŸ‘‰ but units of product creation

    🧠 Product taste > execution

    The roles of PM and engineer are collapsing.

    The most valuable unit now is:

    an engineer who understands what to do, and can quickly build it with AI

    🚨 And here the gap begins

    There are 2 types of teams:

    1. Old

      • processes
      • syncs
      • year-long roadmap
      • "let's discuss"
    2. New

      • hypothesis β†’ prototype in a day
      • check β†’ discarded / scaled
      • no superfluous roles

    And the latter are starting to outperform the former.

    πŸ“‰ Problem

    Most companies still hire:

    ❌ "5 years React"

    ❌ "knowledge of PostgreSQL"

    ❌ "experience in Scrum"

    When what's needed is:

    βœ… "will build a product over the weekend"

    βœ… "will understand the user"

    βœ… "will formulate what to do in the first place"

    ⚑ Conclusion

    AI doesn't just accelerate development. It changes the criteria for selecting people.

    And if you continue to hire "by stack" - you're already losing.


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