ClaudeOpenAI News2026/05/29 12:00

How Braintrust turns customer requests into code with Codex

要点だけを先に読めるように短く再構成したセクションです。

元記事

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要約

要点だけを先に読めるように短く再構成したセクションです。

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How Braintrust turns customer requests into code with Codex の要約

Key Points

  • ポイント1: May 29, 2026 How Braintrust turns customer requests into code with Codex Braintrust engineers use Codex with GPT‑5.5 to turn customer feature requests into preview branches in minu
  • ポイント2: Contact sales Company size: Enterprise Region: North America Industry: Technology Products: Codex 50% of the Braintrust team moved to Codex in one month Loading… Share Braintrust i
  • ポイント3: With Codex, its engineers can now take customer feature requests and create preview branches to show working ideas to customers in minutes.

Summary

この記事は 2026-05-29 に公開された「How Braintrust turns customer requests into code with Codex」の内容を日本語で簡潔にまとめたものです。

Key Points

  • ポイント1: May 29, 2026 How Braintrust turns customer requests into code with Codex Braintrust engineers use Codex with GPT‑5.5 to turn customer feature requests into preview branches in minu
  • ポイント2: Contact sales Company size: Enterprise Region: North America Industry: Technology Products: Codex 50% of the Braintrust team moved to Codex in one month Loading… Share Braintrust i
  • ポイント3: With Codex, its engineers can now take customer feature requests and create preview branches to show working ideas to customers in minutes.

Full Translation

翻訳

原文の流れを保ったまま読める翻訳セクションです。

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How Braintrust turns customer requests into code with Codex(原文タイトル)

概要

公開日: 2026-05-29 翻訳生成に失敗したため、原文をそのまま保存しています。

原文

May 29, 2026 How Braintrust turns customer requests into code with Codex Braintrust engineers use Codex with GPT‑5.5 to turn customer feature requests into preview branches in minutes and expand the scope of engineering experiments. Contact sales Company size: Enterprise Region: North America Industry: Technology Products: Codex 50% of the Braintrust team moved to Codex in one month Loading… Share Braintrust is the observability and eval platform for shipping quality AI products. With Codex, its engineers can now take customer feature requests and create preview branches to show working ideas to customers in minutes. In one month, half of the Braintrust team moved to Codex. For founder and CEO Ankur Goyal, the biggest change is not just faster coding. It’s a faster feedback loop with customers. “It sounds simple, but Codex can literally print more text in the terminal without getting slow, and other models just can’t replicate that,” says Goyal. “The biggest gain is speed.” —Ankur Goyal, Founder and CEO Turning customer requests into previews in minutes Speed is often treated as a property of a tool, one that exists separate from its core functionality, but for Goyal, the speed difference “changes the way I interact with Codex compared to other models.” With Codex, the Braintrust team can integrate iteration into its development workflow rather than letting requests sit and wait. “Codex unlocked our ability to try out customer feature requests in real time,” says Goyal. “Previously, if someone gave us a feature request, it would enter a backlog and get prioritized later.” Instead, the team can copy and paste requests into Codex, create a preview branch, and show the completed request to the customer in minutes. “The really cool thing with Codex is that we get to iterate and ideate on feature requests with the customer in real time,” says Goyal. “The more code we write, the more customer problems we can solve, and Codex is the most effective way to do that right now.” —Ankur Goyal, Founder and CEO Speed makes autonomous problem-solving possible For Goyal, Codex changes how much setup it takes to try new ideas. “With other models, I would have to try to prompt the model to solve a specific problem,” he says. Slower tools require more hands-on guidance, which raises the cost of experimentation. “With Codex, I’ve shifted to writing a test that demonstrates a problem, creating a sandbox environment, and then letting Codex run in that environment,” Goyal says. “This is a novel use case for me, and I can run experiments because of the speed.” That speed gives the Braintrust team more room to experiment. Instead of prompting step by step, engineers can define the problem, let Codex work in a controlled environment, and move faster from idea to working solution. “The really cool thing with Codex is that we get to iterate and ideate on feature requests with the customer in real time.” —Ankur Goyal, Founder and CEO Join the new era of work More than 1 million businesses around the world are achieving meaningful results with OpenAI. Contact sales Keep reading Boston Children’s uses AI to unlock new diagnoses May 29, 2026 Strengthening societal resilience with Rosalind Biodefense Product May 29, 2026 A shared playbook for trustworthy third party evaluations Safety May 29, 2026

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