How Braintrust turns customer requests into code with Codex
Configure Codex to automatically generate preview branches from customer requests, cutting feature turnaround time to minutes and enabling real‑time customer feedback loops.
Set up a Codex‑driven preview branch workflow that converts customer feature requests into code within minutes, aiming to reduce feature turnaround time to real‑time.
Summary
Braintrust, an observability and evaluation platform for AI products, has adopted OpenAI’s Codex to transform customer feature requests into preview branches in minutes. Within one month, 50 % of the Braintrust engineering team migrated to Codex, leveraging GPT‑5.5 to generate code directly from user stories. The speed advantage of Codex allows the team to iterate in real time with customers, turning backlog items into working prototypes without waiting for prioritization. Codex’s ability to print large amounts of text in the terminal without slowdown enables rapid experimentation and autonomous problem solving.
Engineers now write tests that demonstrate a problem, create a sandbox environment, and let Codex run in that environment, reducing setup time for new experiments. This workflow shift frees the team to focus on ideation and validation rather than manual prompt engineering. The result is a faster feedback loop, with feature requests being delivered to customers in minutes instead of weeks. Braintrust’s experience illustrates how Codex can accelerate feature delivery and customer engagement for AI‑centric companies.
Key changes
- Braintrust moved 50 % of its engineering team to Codex in one month.
- Codex with GPT‑5.5 turns customer feature requests into preview branches in minutes.
- The speed difference allows real‑time iteration with customers, bypassing backlog prioritization.
- Codex can print large amounts of text in the terminal without slowdown, facilitating rapid experimentation.
- Engineers write tests to demonstrate problems, create sandbox environments, and let Codex run autonomously.
- The workflow shift reduces setup time for experiments and speeds delivery from weeks to minutes.