I’ve been tinkering a lot lately with automation workflows via AI assistance with CI pipelines as well as Appium-powered tooling.
What kept happening is that while the power of Appium is great, the interaction layer above it is not particularly optimized for:
- AI agents
- automation workflows
- token efficiency
- machine-readable outputs
- CI/CD scripting
This is why I created a fully open-source project appium-cli:
GitHub:
https://github.com/WessamJuby/appium-cli
npm:
https://www.npmjs.com/package/appium-cli
Appium remains the automation engine — this project is essentially a semantic CLI on top of it to enable easier automation workflows for human and machine consumption.
you can think of it as the MCP alternative with more ai friendly responses nad less token usage
Main focus points included:
- Stable JSON response format
- Stable exit codes
- Semantic commands
- Both android and ios support
- Simulators, emulators & physical devices support
- Locator & UI inspection workflows
- Scripting and orchestration
One of the major design factors is the ability to interact via CLI in a way that is much more favorable to AI agents because, as you might know, LLM-powered tooling generally requires predictability and structure.
At this point, it is somewhere between beta/stable releases, but is already in use.
If you are working in any of the following areas, then please share your thoughts:
- QA
- Test Automation
- Mobile Development
- Appium
- AI tools
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