trailblaze
Trailblaze lets coding agents drive real devices and web apps with natural-language steps, then saves sessions as replayable trails for CI tests. It keeps flows repeatable without LLMs at replay time.
Pick a small issue you can reproduce, then fix it with your AI coding agent.
Share on XLicense: Apache-2.0
Overview
Trailblaze is a device-automation and testing framework that lets coding agents control real iOS, Android, and web interfaces through natural-language steps. It records each session as a reusable trail, with the intent and actions saved as a file that can be replayed deterministically in CI. This gives teams a way to turn UI interactions into repeatable checks without depending on an LLM during replay.
Key features
- Natural-language control for real iOS, Android, and web devices
- Each session saved as a replayable trail file
- UI snapshot with refs for targeting a visible element
- CI-ready replay with screenshots, hierarchy, and video reports
Best for
Best for teams that use coding agents to drive live devices or web apps and want a readable record of the flow for deterministic CI replay. It is useful when UI checks need to be repeatable across iOS, Android, and web.
- Upstream
- block/trailblaze
- Fork on GitHub
- Guo-astro/trailblaze
- Upstream stars
- 321
- Category
- AI agents and LLM tools
- Language
- Kotlin
- License
- Apache-2.0
- Forked
- 2026-10-02
- Sync status
- Updated by last syncLast synced 2026-10-23
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