Ines Montani

Agentic coding assistants have transformed the way we build software – and they can be even more impactful for AI development itself. Instead of using LLM APIs, we can take back control and build our own AI systems, bootstrapped for us by agents. In this talk, I'll show you these new agentic development workflows, what they mean for developer tools and why code and the open-source ecosystem are more important than ever.

I'll also share some practical examples of how we built agents to help developers solve real-world NLP tasks and create practical and modular solutions that are small, fast and fully data-private. This requires human and agent collaboration: apps and developer APIs need to speak the same language, and humans need to be able to work alongside the LLM, not just with a model in the loop.