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AI BriefWire / Briefing
Braintrust engineers use Codex with GPT-5.5 to convert customer requests into code efficiently. This integration speeds up experiments and development processes. It demonstrates practical AI application in software engineering workflows.
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How Braintrust engineers use Codex with GPT-5.5 to run experiments and code faster.
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.
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.
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.”