GPT-6/Codex users report heavier inline Python use, wider review surface

A user testing GPT-6 reports that the model reaches for Python scripts far more aggressively than earlier versions, generating inline Python or injecting scripts over SSH to handle difficult situations rather than making a few targeted file edits. The poster, on r/ChatGPTCoding, says Codex's "Approve for me" function tends to accept these scripts automatically, which widens the surface of potentially problematic output a human reviewer must check. They added a local SKILL to tone the behavior down and asked whether others see the same pattern.

The report is anecdotal and based on one user's testing, with no benchmark data or OpenAI confirmation attached. If the pattern holds, it points to a shift in how the coding agent structures work: fewer discrete edits, more self-contained scripts that bundle multiple changes. That trades review granularity for convenience, and it puts more weight on the approval flow to catch unintended side effects before a script runs.