Autonomous Systems & AI Agents
9 talks from the 2026 edition.
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7 Anti-Lessons from Building a PydanticAI Agent: Mistakes We Made So You Don't Have To ▶ Recording 📝 Transcript
Joshua Görner
Life sciences compliance isn't forgiving. When your software helps companies navigate FDA regulations, ISO 13485, and EU MDR, "move fast and break things" isn't an option. Audit trails matter. Documentation is...
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Before You Ship Your Agent: An Agent Builder’s Primer on Jailbreaking Attacks ▶ Recording 📝 Transcript
Simonas Černiauskas
Before you ship an AI agent to production, you need to understand how it can be broken. Jailbreaking and prompt injection attacks are not edge cases—they are an inevitable consequence of deploying real-world,...
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Building Agentic Systems with Python, LangGraph, MCP, and A2A ▶ Recording 📝 Transcript
Holger Nösekabel
Building an agentic system that collects and evaluates company information in real time—without curated datasets—requires solving difficult challenges in data acquisition, quality control, and agent orchestration....
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Building MCP at the Speed of Hype: Principles That Outlast the Trends ▶ Recording 📝 Transcript
Rahkakavee Baskaran, Friederike Bauer
Every week, development in AI brings us another groundbreaking release, another model version, another must-have integration. In this rapidly shifting landscape, how does one build production systems that won’t be...
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Building Secure Environments for CLI Code Agents ▶ Recording 📝 Transcript
Harald Nezbeda
AI code agents like Claude Code are powerful but require careful isolation. Learn how to run them in secure containers with persistent credentials, API logging, and complete filesystem isolation—protecting your host...
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Demystifying Agentic AI Using Small Language Models ▶ Recording 📝 Transcript
Serhii Sokolenko
The AI world is buzzing with claims about “agentic intelligence” and autonomous reasoning. Behind the hype, however, a quieter shift is taking place: Small Language Models (SLMs) are proving capable of many reasoning...
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From Pixel to Payouts: A Multi-Agent System for Real-Time Insurance Claims Processing ▶ Recording 📝 Transcript
Claudio Giorgio Giancaterino
The traditional process for auto damage evaluation is relatively slow, subjective, and prone to fraud. With this presentation, the goal is to show a Multi-Agent System designed for the automation and standardization...
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Hype, Hope, or Headache? Making Sense of GenAI, LLMs, and AI Agents with Anecdotal Evidence ▶ Recording 📝 Transcript
Sebastian Neubauer
After nearly 20 years in data science, from MLPs, SVMs, and random forests to deep learning, I’ve seen many “revolutions” come and go. The current tectonic shift around GenAI and LLMs feels different from previous...
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Panel: Evolution, Revolution, or Illusion? The Future of Python and Coding in the Age of AI ▶ Recording 📝 Transcript
Sebastian Neubauer, Markus Klein, Asya Melnik, Serhii Sokolenko, Ines Montani
Software engineering is changing fast. With AI now writing and reasoning about code, does it still make sense to learn Python or any language at all? Is this the evolution of our craft, a true revolution, or just...