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CodeRabbit scales agentic software development and ships 20x more

For Harjot Gill, co-founder and CEO of [CodeRabbit⁠(opens in a new window)](https://www.coderabbit.ai/), trusting and validating agentic code is becoming the place where teams bring judgment to a growing volume of AI-generated work. “The first bottleneck that every company hits as soon as you adopt coding agents is code reviews,” Harjot says. According to CodeRabbit, better price-performance from OpenAI helps it add more AI agents to its reviews and pass the benefits to customers, and [Codex⁠](https://openai.com/codex/) helps it ship 20 times more software with the same engineering team.

Agent or tool
OpenAI
Topic
Customer Support
Reported on
Case study (OpenAI)
Added
2026-11-11

Why it matters

Support is repetitive and time-sensitive. Agents can draft answers, look things up and handle simple requests, so people can focus on the tricky ones. It is one of 554 sightings filed under Customer Support on Agent Sightings (number 396 by interest), and one of 25 involving OpenAI.

How you could try it

Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into OpenAI or any similar agent and adjust the details to your situation.

I want an agent to handle routine customer questions end to end, and pass anything unclear to a person. The tool in the source case was OpenAI.

Saved

Tip: Start small: run it once on a low-stakes example, read what the agent did, and only then let it run on real work.

Source

Read the original first-hand account on Case study (OpenAI): https://openai.com/index/coderabbit-codex-daybreak. Our summary is a paraphrase; details are in the source.

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