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UID:pretalx-amfc2026-YFTZKP@modelica.simtek.cc
DTSTART;TZID=CST:20260920T151500
DTEND;TZID=CST:20260920T180000
DESCRIPTION:Agentic workflows developed for software development have chang
 ed our software development methods. Most of the trivial coding tasks are 
 solved by AI in a fraction of time of what the software engineer used to t
 ake. Instead of coding\, the focus of a software engineer is now on specif
 ying the work to be done\, choosing the right architecture\, orchestrating
  the agents doing the work\, and verifying the results.\nModelica – from
  its earlier definition – has always included a duality between the lang
 uage and the user interface artifacts. And the language is no different fo
 r an LLM than a programming language like C\, C++\, Python\, Julia\, Rust\
 , Wolfram\, etc. Therefore\, it took only a few months before a similar ch
 ange happened for modeling and simulation as for software engineering. We 
 do not model the same way as we did a year ago.\nIn this tutorial\, we wil
 l first discuss the recent and upcoming evolution of the role of the simul
 ation engineer towards a rather System Engineer type of work\, assisted by
  agents. The skills of today’s simulation engineer however remain critic
 al for successful simulations. We will demonstrate this by hands-on exampl
 es. In a second step\, we will leverage Wolfram System Modeler and their n
 ewest agent skills to develop a detailed Modelica in an agentic manner\, p
 ointing at best practices and pitfalls. \nAt the end of this workshop\, yo
 u will be equipped to develop your own model in a much faster and efficien
 t way\, as AI-embracing simulation engineer.
DTSTAMP:20261004T074216Z
LOCATION:Modelica Technology & AI (R1001)
SUMMARY:Workshop 4: Hands-on agentic modeling and best practices\, with Wol
 fram System Modeler - Clément Coïc
URL:https://modelica.simtek.cc/amfc2026/talk/YFTZKP/
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