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Ce que 1 an à laisser l'IA coder m'a appris sur le métier de développeur

by Yannick Dalbin31 Jul 2026

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In summary, the most interesting aspect is that while AI eliminated technical constraints, the resulting hyper-productivity created a new burnout by enabling too many projects simultaneously.

  • The speaker realized that AI shifted the bottleneck from technical skill to project selection, causing a paradoxical burnout due to overwork.
  • Hyper-efficiency tools like Cloud Code allow projects that took months to be done in days, leading to unsustainable workloads.
  • Quality is maintained but token consumption is a rising cost concern, motivating a shift to local AI models to control expenses.
  • The goal is to empower non-developers to deliver applications by focusing on value and delivery rather than coding syntax.

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