Ramp has shortened pull request turnaround from hours to minutes by integrating Codex with GPT‑5.5 into its internal review workflow, a change the company says directly speeds software delivery. Engineers now receive substantive, automated feedback on code changes much faster than before, reducing the burden on human reviewers and moving merges through the pipeline more quickly. According to Ramp’s AI Developer Experience team, Codex operates by reasoning over the codebase to surface issues that both human reviewers and other automated tools can miss. That deeper code-aware reasoning produces more thorough comments and targeted suggestions on pull requests, improving the quality of automated review output without replacing human judgment.
Austin Ray, who leads the AI Developer Experience group at Ramp, described Codex as the “industry gold standard.” Engineers at Ramp request Codex’s comments on every pull request, and the tool has become mandatory in many internal review flows, embedding automated scrutiny into the company’s routine review process. The practical effect is a marked reduction in manual review time: Ramp reports that substantive feedback that once took hours now arrives in minutes. Faster, more consistent feedback shortens the development feedback loop and helps teams push changes through testing and deployment sooner, lowering cycle times for feature and bug-fix delivery.
For Ramp’s engineering teams, the shift means fewer delays caused by backlog in manual reviews and a steadier stream of actionable recommendations attached to each change. As the tool is already required in many flows and broadly requested on pull requests, the company expects routine reviews to remain faster and more consistent going forward.
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