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LLM-Assisted Coding: A Systems Perspective

Event artwork for LLM-Assisted Coding: A Systems Perspective

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About this event

What to expect

This online talk from AI Agents Montreal challenges the typical AI hype narratives with a grounded, systems-thinking approach to LLM-assisted coding. Led by principal engineer Dragan Stepanović from Berlin, this session examines how AI coding tools actually integrate into product development workflows — and what unintended consequences teams should prepare for.

What You'll Explore

Unlike most GenAI talks that either celebrate productivity gains uncritically or predict developer replacement, this session takes a refreshingly nuanced perspective. Dragan draws on Systems Thinking, Lean, Theory of Constraints, and Extreme Programming (XP) to help teams understand how AI coding tools affect broader system dynamics.

Key topics include:

  • Inventory management: What happens when AI generates code faster than teams can review it?
  • Comprehension debt: How do we maintain the ability to reason about systems when AI writes increasing amounts of code?
  • Process vs output: Can we truly replace the creative process of product development with its output (code)?
  • LLM-assisted vs agentic coding: Which approach makes sense in which context?
  • Systemic feedback loops: How changes in one part of the development system cascade through the entire organization

Who Should Attend

This talk is ideal for engineering teams, technical leads, and product development organizations wrestling with how to thoughtfully adopt AI coding assistants like ChatGPT, Claude, Cursor, or Windsurf. Whether you're already using these tools or evaluating adoption, you'll benefit from examining the broader implications beyond immediate productivity metrics.

About the Speaker

Dragan Stepanović is a principal engineer who helps companies evolve engineering culture, identify bottlenecks, and maximize value throughput. Known for exploring counter-intuitive ideas that challenge conventional wisdom, he connects XP, Theory of Constraints, Systems Thinking, and Lean to reveal better ways of working.

The session begins with a brief introduction to the AI Agents Montreal community before diving into Dragan's systems perspective framework. This is uncharted territory — we're still in the early days of understanding these tools' long-term effects — but examining

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