How Ramp engineers accelerate code review with Codex

2026-05-20 · Source: OpenAI News · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning · Depth: Intermediate, short

Summary

Ramp engineers utilize OpenAI's Codex with GPT-5.5 to significantly accelerate code review processes and develop internal agentic tools. This integration allows teams to receive substantive pull request feedback in minutes, a marked improvement from previous hours-long waits. Austin Ray, AI DevEx lead at Ramp, highlights Codex's "industry gold standard" reasoning capabilities, which provide a level of thoroughness often beyond human reviewers. Beyond code review, Codex also supports the rapid development of an On-Call Assistant, an agentic tool designed to manage the complexities of on-call rotations, handling extensive business logic and incident investigations. This dual application enhances developer experience, boosts productivity, and improves overall software development velocity and code quality at Ramp.

Key takeaway

For engineering leaders evaluating AI tools to boost developer productivity, Codex with GPT-5.5 presents a compelling solution for accelerating code review and building internal agentic tools. You should prioritize hands-on demonstrations for your engineers to build trust and integrate AI-driven feedback into mandatory workflows. Investing in direct feedback channels with vendors like OpenAI will ensure continuous improvement and maximize the return on your AI tool investments.

Key insights

AI tools like Codex can profoundly enhance developer productivity and code quality by automating complex tasks.

Principles

• AI tools must demonstrate tangible impact on code delivery.
• Guided first-hand experience builds engineer trust in AI tools.
• Direct vendor feedback loops are vital for AI tool adoption.

Method

Leaders should demonstrate AI tool potential first-hand, guiding engineers through initial sessions to build trust and encourage exploration, while investing in direct feedback loops with tool vendors.

In practice

• Integrate Codex with GPT-5.5 for rapid code review feedback.
• Utilize Codex to develop agentic tools for operational burdens.
• Incorporate AI code reviewers into mandatory PR workflows.

Topics

• Codex
• GPT-5.5
• AI Code Review
• Developer Experience
• AI Agents
• Software Productivity

Best for: Machine Learning Engineer, CTO, VP of Engineering/Data, AI Engineer, Software Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by OpenAI News.