In part two of their conversation, Ben and Kyle chat with Python core developer and Steering Council member Pablo Galindo Salgado about balancing consistency and new features in language design, the importance of gathering community feedback on new iterations, and why he’s focused on making Python faster.
The post How the Python team is adapting the language for an AI future (Ep. 593) appeared first on Stack Overflow Blog.
Login to add comment
Other posts in this group

Ryan welcomes Illia Polosukhin, co-author of the original "Attention Is All You Need" Transformers paper and co-founder of NEAR, on the show to talk about the development and impact of the Transformer

An experiment to level up your coding skills on Stack Overflow, while learning in a space that welcomes creative problem-solving. Discover how we built it. https://stackoverflow.blog/2025/07/07/gettin

Ryan welcomes Matt DeBergalis, CTO at Apollo GraphQL, to discuss the evolution and future of API orchestration, the benefits of GraphQL in managing API complexity, its seamless integration with AI and

Jon Skeet, the first Stack Overflow user with a million reputation, sits down with Ryan to share his wealth of knowledge on all things development: the deceptively simple but actually complicated prob

Large language models are non-deterministic by design. Here's how you can inject a little bit of determinism into GenAI workflows. https://stackoverflow.blog/2025/06/30/reliability-for-unreliable-llm

Ryan is joined by Tobiko Data co-founders Toby Mao and Iaroslav Zeigerman to talk about the crucial role of rigorous data practices and tooling, the innovations of Tobiko Data’s SQLMesh and SQLGlot, a

AI is no longer just a luxury for the most tech savvy companies — it's now a necessity for organizational transformation. How are real teams successfully leveraging and innovating with these new tools