On May 29, 2026, Braintrust described a shift in its engineering workflow that uses Codex alongside GPT‑5.5 to translate customer feature requests into preview branches in minutes. The company said the change accelerates how engineers deliver working ideas for customer review.
Faster feedback loop with customers
Braintrust engineers reportedly copy requests into Codex, generate a preview branch, and present a functioning implementation to the customer within minutes instead of routing the request into a backlog. “Codex can literally print more text in the terminal without getting slow, and other models just can’t replicate that,” said Ankur Goyal, Founder and CEO. He described speed as the main gain from the switch.
Speed enables more experimentation
According to Goyal, the latency decrease changes how the team approaches prototyping. Rather than prompting models step by step, engineers can write a test that demonstrates a problem, create a sandbox environment, and let Codex operate inside that environment. That workflow, he said, reduces the hands‑on guidance required and lowers the cost of experimentation.
Goyal added that the approach lets the team “iterate and ideate on feature requests with the customer in real time.” He framed the change as a practical shift: faster tooling made it feasible to treat iteration as part of daily development rather than a later prioritization step.
Braintrust is described as an observability and evaluation platform for shipping quality AI products. The company also reported that 50% of its team moved to Codex within one month after adopting the tool.
The account focuses on workflow and speed claims from Braintrust and its CEO, and attributes assessments about Codex’s performance directly to Ankur Goyal, Founder and CEO.
Original source: OpenAI News