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How Ramp engineers accelerate code review with Codex

OpenAI Blog 20 May 2026, 00:00

Ramp engineers use OpenAI's Codex with GPT-5.5 to automate code review processes. The tool delivers substantive feedback in minutes instead of the hours typically required for manual review. This reduces code review turnaround time, allowing engineers to ship improvements faster.

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How Ramp engineers use Codex with GPT-5.5 to review code and ship improvements, allowing them to get substantive feedback in minutes instead of hours.

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TLDRocket 21 July 2026

The open-weight AI model market hit an inflection point today as Alibaba and Kimi released trillion-parameter competitors that challenge the closed-model orthodoxy—just as Washington moved to restrict them. Alibaba's Qwen 3.8 Max (2.4 trillion parameters) and Kimi K3 (2.8T) are going open-weight, with K3 ranking first on Frontend Web App Arena and fourth on agentic benchmarks, signaling that scale and transparency can coexist. The timing matters: while U.S. policymakers weigh layered restrictions on Chinese open models, technical experts are pushing back hard, arguing that closed gardens actually hurt security and competition more than they help. The real fragmentation risk isn't technical—it's regulatory.

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How Ramp engineers accelerate code review with Codex

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