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Q3 2026 Product Update

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.

BigQuery Graph measures explained (Why your AI agents get metrics wrong and how measures fix it)

Learn more about measures here. In this BigQuery tutorial, you’ll learn how to define graph measures with MEASURE, query them with AGG, and reuse calculations across different groupings. Follow a simple music dataset to fix double counting and explore the relationships behind the results. Chapters: Speaker: Annie Wang Products Mentioned: BigQuery, Gemini Live API, Agent Development Kit.

The Agent Passed Its Own Test. That's the Problem.

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.

Wherever your config lives: Repo-stored and modular bitrise.yml

Most CI tooling makes you pick a side. Visual editing or code. Git as your source of truth or a decent place to edit. A config small enough for one file, or a modular structure your tooling flattens the moment you touch it. The Bitrise Workflow Editor does not ask you to choose. It meets your config where it lives. One file or forty, stored on Bitrise or in your repo. This post covers both, in that order.

How to Automatically Fail Over Between LLM Providers | Kong AI Gateway

Learn how to automatically switch between LLM providers when your primary provider becomes unavailable. In this AI Gateway Discovery video, we configure automatic failover using Kong AI Gateway’s Priority load balancing algorithm. You’ll learn how to assign models to priority groups and fall back to a backup group when all targets in the preferred group are unavailable. Follow along to set up automatic LLM failover and make your AI applications more resilient to provider outages.