Agenda
Check out the different topics, each representing a single block of talks and sessions to guide you through the program of DevTalks! We look forward to welcoming you to the event and providing you with an unforgettable learning and networking experience in the world of technology.
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14:00 to 14:45
APIs for the Age of Agents
Future of Engineering Stage — 45 minutes Future of Engineering APIs
APIs have always been about exposing capabilities — but who's consuming them is changing fast. Alongside human developers, we now have two new types of API consumers: runtime agents that call APIs autonomously to get things done, and agentic coding tools that help developers and engineers build integrations faster than ever before. Read More...
Erik Wilde
12:15 to 13:00
Me, Myself & AI: Compliance, Control and Trust in an Algorithmic Age
Cybersecurity Stage — 45 minutes Artificial Intelligence Machine Learning Security Real case studies
AI and machine learning promise transformative benefits, from efficiency and innovation to enhanced cyber defense. Yet this same technology is a double-edged sword. Read More...
Mathew Caplan
10:15 to 11:00
Hugging Face ecosystem
AI Product Stage — 45 minutes Machine Learning AI Systems
Niels will showcase the Hugging Face ecosystem, all the tools and services Hugging Face provides for making machine learning accessible, open and collaborative.
Niels Rogge
11:40 to 12:10
Drop a File, Get a Tool: Connecting AI Agents to the Systems That Matter
AI Product Stage — 30 minutes APIs AI Agents
AI agents are only as useful as what they can reach. The gap between a capable model and a useful product is almost always the same thing: integration. Getting your AI assistant to talk to your internal APIs, ticketing systems, or deployment tools shouldn't require a full engineering sprint every time something new comes up. Read More...
Andreea-Elena Bodea
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11:05 to 11:35
From API to AI: A Survival Guide for Building an MCP Server
AI Stage — 30 minutes Artificial Intelligence LLM APIs
We started with a successful B2B API, but quickly realized that feeding it directly to an LLM serving human travelers required a translation layer. Read More...
Hakan Turkmenoglu
Rail Mazgutov