AI productivity isn't measured in lines of code.
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
[Editor’s Note: This guest post is by Marcelo Calbucci, a longtime Seattle tech and startup community leader.] This month, I ran a survey with early-stage founders from Seattle-based Foundations about ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
I’ve written about how coding is so over. AI is getting smarter every day, and it won’t be long before large language models (LLMs) write better code than any human. But why is coding the one thing ...
You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. AI coding tools have rapidly advanced in recent months, says OpenAI's president. At a Sequoia Capital ...
Greg Brockman’s comments at Sequoia’s AI Ascent 2026 conference fit a pattern of AI lab leaders citing self-reinforcing productivity numbers, but the underlying evidence on AI coding productivity ...