Szabolcs Gelencser

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 Hub. In this post, we'll explore how we unified these efforts into a cohesive AI Platform.

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.

At Bitrise, our goal is to help devs speed up their builds and automate tedious work. To advance this mission, we began exploring how AI can improve developer workflows. We now confidently build and ship new AI features, detect regressions early, and monitor real-world production performance. First post in our journey series.

Speed up your builds. In this blog post, we take a closer look at Bazel's Remote Caching. We explore how the API specification and client-side implementation can dramatically reduce build times through efficient cache reuse. A must-read for developers seeking efficiency.