Throw your triage lists at GPT 5.5 and watch them disappear

The speaker describes tackling a challenging data migration project involving millions of rows of functionally unstructured, lightly structured data with numerous edge cases. This represented significant complexity for their organization despite the scale not seeming large to others. The developer had previously attempted to solve this problem using various AI coding tools, including Cloud Code (even with Opus) and GPT 5.4, but none were successful. However, after dedicating 6 hours to working with GPT 5.5, they achieved a breakthrough. The error rate in their Sentry monitoring dropped dramatically, indicating the migration problem was effectively resolved. The speaker notes that this type of complex problem was something they had actively avoided in the past because existing AI tools lacked the intelligence to handle it autonomously. The success with GPT 5.5 and what appears to be a coding assistant called 'codeex' has been transformative for their workflow. However, they express concern about the potential costs of using such advanced AI capabilities in production environments due to token pricing.