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hamzaelidrissi
hamzaelidrissi

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How AI Agents Are Changing the Role of Developers

I recently attended a great talk at ParisJUG hosted at Doctolib, where Patrick Chanezon spoke about:

“The transformation of the developer role with AI agents.”

This topic strongly resonated with my daily work as a Senior Java Engineer working with AI-augmented development.

Here are three reflections from my experience.


1. From Developer to Agent Manager

With the rise of AI agents, our role as developers is clearly evolving.

I find myself spending less time writing every line of code, and more time:

  • defining context
  • designing architecture
  • guiding AI agents that implement solutions

In many ways, we are moving from:

Developer → Agent Manager

The value is shifting toward:

  • orchestration
  • validation
  • system thinking

Writing code is no longer the bottleneck.

Thinking clearly is.


2. AI as a Mentor… but with a Risk

AI can dramatically accelerate learning.

For example, reading a 600-page technical book can take days or weeks.

With tools like NotebookLM, you can extract key insights in a few hours.

But from my experience, something is lost in the process.

Traditional reading improves:

  • retention
  • depth of understanding
  • long-term intuition

The real risk is simple:

Delegating too much thinking to AI.

The right approach is:

  • Use AI as a teammate, not a replacement
  • Let it challenge your ideas
  • But keep ownership of the reasoning

AI should amplify your thinking — not replace it.


3. The Hidden Topics: Dopamine and Cost

Two topics are often underestimated when working with AI:

Dopamine & Feedback Loops

AI creates extremely fast feedback cycles:

  • you generate an idea
  • AI implements it instantly

This is powerful, but it can also lead to:

  • very long sessions
  • mental fatigue
  • reduced focus

Cost Awareness (AI FinOps)

Another key aspect is cost.

Without proper practices, usage can grow very quickly.

From my experience, a few simple habits help:

  • switching models depending on the task
  • using different agents for different needs
  • writing precise prompts with strong context

This is essentially AI FinOps for developers.


Conclusion

AI agents are not replacing developers.

But they are clearly transforming our role toward:

  • orchestration
  • system-level thinking
  • higher-level decision making

The real challenge is not adopting AI.

It’s learning how to use it ntelligently and responsibly

Thanks to Patrick Chanezon for the inspiring talk

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