Ramp engineers cut code‑review time to minutes with Codex, OpenAI’s GPT‑5.5‑powered assistant, as reported on May 20, 2026.
Context
Traditional code reviews often stretch over hours, forcing developers to juggle feedback loops while other tasks pile up. At Ramp, the engineering team faced this bottleneck as they raced to ship product improvements. To address the lag, they integrated Codex—OpenAI’s latest coding assistant built on the GPT‑5.5 model—directly into their development workflow. According to the OpenAI Blog, the team paired Codex with existing version‑control tools, allowing the AI to parse pull requests, highlight potential issues, and suggest concrete edits.
Impact
The result was a dramatic shift: substantive feedback that previously took hours now arrived in minutes. Ramp engineers reported that the rapid turnaround let them iterate faster, resolve bugs before they escalated, and push enhancements to production with confidence. By automating routine review tasks, Codex freed senior developers to focus on architectural decisions rather than line‑by‑line scrutiny. The OpenAI Blog notes that this speed boost directly translated into shorter release cycles and higher developer morale.
What’s Next
Ramp’s success with Codex is prompting broader experimentation across the company. Teams are exploring how the AI can assist with automated testing, documentation generation, and even onboarding new hires. OpenAI hints that future updates to Codex will deepen its understanding of code semantics, potentially enabling real‑time collaboration across distributed squads. As more enterprises witness the tangible gains at Ramp, the expectation is that Codex will become a standard fixture in modern development pipelines.
For a deeper look at Ramp’s workflow and the technical details of Codex’s integration, see the original OpenAI post.
