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How Ramp Engineers Use OpenAI Codex with GPT-5.5 to Cut Code Review from Hours to Minutes
OpenAI published a case study showing how Ramp's engineering team uses Codex powered by GPT-5.5 to accelerate code review, getting substantive feedback in minutes instead of hours. The case study highlights how GPT-5.5 holds context across large systems, reasons through ambiguous failures, and carries changes through surrounding codebases — capabilities that distinguish agentic code review from simple linting. This represents one of the first detailed enterprise case studies of Codex in production workflows.
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