Ramp uses Codex with GPT-5.5 to speed code review
Curated by the Inblix editorial team
Ramp engineers are using OpenAI’s Codex with GPT-5.5 to supercharge code reviews, cutting wait times from hours to minutes. The tool provides deep reasoning against the codebase, catching bugs that human reviewers and other AI tools miss. It’s become a mandatory part of their workflow, with engineers actually looking forward to its feedback. Beyond reviews, Ramp is also building an On-Call Assistant agent that handles complex incident management and on-call rotation tasks, leveraging Codex’s reasoning to wrangle concurrency bugs and evolving incident details. The result: faster development, higher code quality, and less burnout for engineers. Why it matters: This shows how AI can move from simple code suggestion to acting as a genuine collaborative partner in the software lifecycle, reducing cognitive load and enabling engineers to focus on higher-level problems.
💡 Key Takeaways
- Codex with GPT-5.5 reduces first code review wait times from hours to minutes by reasoning deeply against the codebase.
- Ramp's engineers actively demand Codex reviews for pull requests, finding them more thorough than human reviewers or other AI tools.
- The same AI platform is powering an On-Call Assistant agent that handles complex incident investigations and on-call rotation work, boosting developer productivity.
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