AI-generated work threads can be shared with a read-only link so reviewers can see the context and reasoning behind implementation decisions in a pull request.
Engineers still decide what changes to ship, evaluate code quality, and make the final review and merge decisions.
A developer attaches a read-only AI thread to a pull request so reviewers can inspect the implementation plan, tradeoffs, and reasoning behind the code changes.
Codex / ChatGPT Work / GitHubFor a large refactor, the shared thread explains what the assistant changed, which alternatives were considered, and what risks reviewers should check before approval.
Codex / GitHubA bug-fix pull request includes a shared AI debugging thread so reviewers can follow the reproduced issue, discarded hypotheses, and why the final fix was selected.
ChatGPT Work / GitHubI help companies navigate AI adoption -- from strategy to production. Whether you are building your first LLM-powered feature or scaling an agentic system, I can help you get it right.
Design and build LLM-powered products and agentic systems
Go from idea to production with a clear implementation roadmap
Build AI with human-in-the-loop in regulated environments
Shared threads in Codex and ChatGPT Work let you show the process behind your build with a read-only link, giving others the context and reasoning behind a pull request, deep dive, or project handoff.