How Braintrust turns customer requests into code with Codex

Braintrust, a platform for observing and evaluating AI products, has integrated Codex with GPT-5.5 to streamline its development process. This allows their engineers to rapidly transform customer feature requests into preview branches, making it possible to demonstrate working ideas to clients in minutes. This agility greatly enhances the feedback loop with customers.

Before Codex, feature requests would enter a backlog and undergo later prioritization, extending the development cycle. Now, engineers can simply input requests into Codex, generate a preview branch, and present the completed feature to the customer almost immediately. This real-time iteration fosters a more collaborative approach to development.

The core advantage of Codex, as highlighted by Braintrust's CEO Ankur Goyal, is its speed. This efficiency changes the way engineers interact with the tool, enabling them to integrate continuous iteration into their workflow. It has effectively "unlocked our ability to try out customer feature requests in real time."

Codex also simplifies the experimentation process. Goyal notes that with other models, he would spend more time crafting prompts to solve specific problems. However, with Codex, he can define a problem, create a testing environment, and allow Codex to operate within that controlled space. This novel approach, combined with the tool's speed, significantly reduces the cost and effort associated with exploring new ideas.