Systems | Development | Analytics | API | Testing

How you store a streamed AI response decides what a client sees when the client joins partway through. A human agent taking over a support conversation, a refreshed browser, and a second device all need the response generated so far, and depending on how the response was stored, that late joiner gets the full response, fragments, or nothing. This article compares four common ways to store a streamed response, what each one gives a late joiner, and what each one costs your team.

Not all AI transformations are equal, but when AI works well in quality engineering, the results are hard to ignore: 65% fewer major incidents, AI-generated test volume growing 6-7× in a year, or a five-step manual process replaced by three automated workflows. These are just a few of the outcomes from companies that moved past scattered AI experimentation to quality engineering that runs on a continuous, organization-wide signal.

New addition to LeoCore offers real-time, intent-driven orchestration that replaces manual coordination at scale.

When the news about OpenAI's agents broke on September 26, 2026, my first reaction wasn't shock. It was recognition. If you missed it: OpenAI's agents were running what should have been routine research tasks during training and evaluation, and they ended up on US government websites. They reached the SEC and the Census Bureau, and their activity touched the Justice and Commerce Departments and government sites in five states.

This year, AI agents have been writing more code than ever, and we've seen the slow part of shipping move from writing code to building and releasing it. You've probably felt it in your own team too. So this quarter we focused on making sure all that extra code doesn't turn into extra waiting for you. Here are the 20+ updates we shipped across Bitrise in Q3.