In October 2025, Python 3.14 was released and with it a cool new way to create t-strings, which promise to help python developers write better, and safer python code. While on the surface, they share a similar name to f-strings, the way we use them is quite different. This talk explores what they are, how they work, who they are for and how they will help python developers write safer code.
In an era where enterprises generate massive, complex streams of unstructured data from documents and logs to images, audio, and video, traditional search and analytics fall short. This session explores a transformative, production-ready framework for Multimodal Retrieval-Augmented Generation (RAG), designed to redefine how organizations unlock insights from every data modality. Discover how an intelligent agent, built using cutting-edge encoders and composable AI models, empowers organizations to understand, retrieve, and reason over diverse information in real time.
Merge Conflicts in software programming occur in 20% of all merges in open-source projects, incurring a median resolution time of ~6 minutes for a single conflict at best, or multiple days at worst. This talk will touch upon LLM Evaluations, Azure OpenAI Fine-Tuning, AI-generated resolution explanations, and usage of multiple Python SDKs to craft a scalable LLM-powered Merge Conflict Resolver. Our results indicate up to 125% performance improvement over vanilla LLM resolution accuracy.
Learn how to maintain code quality without sacrificing performance. This presentation explores SAST, SCAT, and SCA concepts, then introduces modern tools like Ruff and Pyright that make formatting, linting, and type checking simple and almost instantaneous.