OpenAI recently introduced their bespoke in-house AI data agent, a GPT-5.2-powered tool designed to help employees navigate and analyze over 600 petabytes of internal data across 70,000 datasets. By translating natural language questions into complex data insights in minutes, the agent enables teams across the company to bypass manual SQL debugging and quickly make data-driven decisions.

Searching code is an important part of every developer's workflow. We're trying to make it better.

Abstract page for arXiv paper 2310.06770v2: SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

A post for developers about the new Claude 3.5 Sonnet and the SWE-bench eval

Chip Huyen's 8,000 word practical guide to building useful LLM-driven workflows that take advantage of tools. Chip starts by providing a definition of "agents" to be used in the piece …

Intelligent agents are considered by many to be the ultimate goal of AI. The classic book by Stuart Russell and Peter Norvig, Artificial Intelligence: A Mode...

A post for developers with advice and workflows for building effective AI agents