This is the fourth and final installment in our series about bringing AI to Bitrise. In Part 1, we explained why we built our own AI coding agent. Part 2 covered our browser-integrated AI Assistant. Part 3 detailed how we brought AI to the Bitrise Build Cloud. In this post, we'll explore how we unified these efforts into a cohesive AI Platform.

Introducing the five new Bitrise AI features! Get instant PR reviews to prevent issues before they happen, actionable build failure summaries to recover quickly, and an agent that fixes your builds then validates the fix - all inside your CI pipeline.

Elli (part of Volkswagen Group) slashed mobile build times from 90 minutes to 10 with Bitrise, freeing up developers to focus on building mission-critical apps to drive EV adoption across Europe. This is their story.
How do you choose the right build environment to keep you ahead? In this post, Staff Solutions Architect Silvercast Nguyen breaks down the core components of a reliable mobile build environment and the key factors to consider when choosing the right setup.

We’ve built a prototype that lets AI assistants control real macOS virtual machines — from running shell commands to clicking around the GUI. Packaged as a Model Context Protocol (MCP) server, it opens up wild new possibilities for AI-driven CI, testing, and debugging. It’s early, a bit experimental, and we’d love your feedback on where it should go next.
Security is one of the cornerstones of how we’re making Bitrise a better product each day. We’re excited to share that we’re now a PCI DSS compliant service provider!
Our EU data center is live now with M4 Pro and AMD EPYC Zen5. This means improved global capacity, zero queues, geographic redundancy, and data residency options.
In this technical deep dive, we explain how we coded our powerful sandboxed AI agent, designed to run without engineer intervention using a pre-defined list of allowed tools.

At Bitrise, we set out to build a powerful AI assistant that acts as your co-pilot, speeding up tedious tasks and helping you quickly pinpoint bottlenecks and redundancies. This is how we implemented it! Second post in our series.