AI Pulse by Inblix

Ramp uses Codex with GPT-5.5 to speed code review

OpenAI Blog · Jul 8, 2026 · 1 min read · Read original article →

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

  1. Codex with GPT-5.5 reduces first code review wait times from hours to minutes by reasoning deeply against the codebase.
  2. Ramp's engineers actively demand Codex reviews for pull requests, finding them more thorough than human reviewers or other AI tools.
  3. 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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