I'm using deep research to ensure that the addition of the responses API will go smoothly, and I'm answering follow-up questions about the report format before kicking off the analysis.

Improving the code review process and ensuring confidence in AI-generated changes will be crucial for the future of software engineering.

I am asking OpenAI o3 to run a month-end variance report based on the dummy data I'm uploading.

I'm a software engineer at OpenAI working on Codex, which solves real problems I encounter daily in my work.

OpenAI plans to introduce exciting updates for o1, including support for additional tools like code interpreters and browsing, longer context windows, and eventually multimodality.

AI coding models are evolving, allowing developers to engage in a back-and-forth dialogue to clarify specifications and improve coding workflows.

Our primary focus is to assist professional programmers, as they increasingly use AI to write a significant portion of their code, but they still need to review everything generated by AI.

Currently, about a quarter of our pull requests are committed by Devins, and we expect this to exceed 50% by the end of the year.

Using deep research integration with GitHub, I can analyze pull requests, identify potential improvements, spot bugs, and suggest fixes in minutes.