Lorena is a software developer with more than 10 years of experience in tech. Since discovering Elixir in 2018, she has focused on backend development and has been happily building with Elixir ever since.
She enjoys combining personal interests with technology, especially through communities for women in tech and initiatives that support diversity and inclusion.
She is energized by technical challenges, curious about emerging ideas, and always excited to keep learning and evolving as a developer.
The growing interest in AI is undeniable. Every day, there are advancements, new topics and approaches to explore, more tools, more resources, etc. Everything is moving at such a rapid pace that keeping up in the industry has become even more challenging.
I personally had tried to stay out of it to avoid being overwhelmed by everything there is to learn. However, I also thought that AI is based on fundamental principles that have been studied for years, and that surely a point of convergence can be found with the technologies I see in my daily work.
So, motivated by the current wave of experimentation with AI agents, this talk will explore whether established OTP patterns, such as supervision and isolation, can offer useful insights for addressing reliability in agent-based workflows. It isn’t about creating new AI tools, nor is it about focusing on OTP as the solution for everything. Instead, it’s an exploration that connects ideas from emerging agent architectures with concepts that many of us already use at Elixir.
The goal is to analyze how OTP patterns can guide experimentation in a constantly evolving industry. It is aimed at developers interested in agent-based systems, adapting to industry changes, and how Elixir can participate in these discussions.
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