Ramp engineers are leveraging Codex with GPT-5.5 to transform their code review process, reducing feedback time from hours to minutes. Austin Ray, AI DevEx at Ramp, highlights how the AI tool catches issues that human reviewers often miss, becoming an industry gold standard that engineers specifically request. The system provides thorough code analysis that matches deep reasoning capabilities most humans lack time for.

Codex's ability to deeply reason against the codebase sets it apart from other tools, delivering a level of thoroughness that exceeds typical human review capacity. Engineers can choose between CLI operations or visual interfaces through the Codex app, with Ray noting the tool "shepherds you toward higher productivity." The platform handles complexity with ease that would require substantial mental effort from human engineers.

Ray is also developing the On-Call Assistant, an agentic tool that manages on-call rotation burdens. When evaluating AI tools, Ray focuses on practical outcomes: "Does it actually change how people ship code, or is it just a demo?" He recommends hands-on demonstrations and direct feedback loops with vendors to build trust and drive adoption. For Ramp, this approach has accelerated development while maintaining quality standards.

This implementation demonstrates how engineers are evolving into orchestrators who direct AI tools rather than writing every line of code themselves. The skill now lies in knowing when to trust AI assistance and when to push back, with Ramp's top engineers mastering this balance faster than most organizations.