Writing Android Scripts with an AI Agent: Cursor/Trae + CLI, Generating Code from Plain Language

The mainstream way to automate Android is without root, using the two paths Android already opens: the accessibility service and ADB, so a program can take over the repeated work.

Why this scripting job is a strong fit to hand to AI

Two or three years ago, writing an Android automation script meant understanding the control tree, image and color recognition, and OCR yourself, and knowing how to call a range of APIs. In some cases today the AI can only fill in a few lines. In others it can finish a whole pipeline. Android automation scripts are closer to the second kind, because the docs are structured, the CLI can close the loop, and the APIs can be checked.

Reason	What it means for AI coding
Structured docs	The API notes are clear and complete. The AI can read them, and generated code has something to stand on
A CLI that can close the loop	Build, run, screenshot, node capture, and OCR all have commands, so the AI can see the result itself
APIs that can be checked	Every step’s output can be compared. The AI is less likely to invent something with a straight face

Structured docs means every EasyClick API has documentation. The js files under libs in the project carry function comments (basic functions in basic.js, image processing in image.js, OCR also in image, node-related code in nodeimage, screenshots in clorimage). Each function’s purpose, parameters, and return value are written in the header comment. A large model reads that kind of manual fairly smoothly.

A CLI that can close the loop means every step in the development chain, build, preview, run, stop, screenshot, capture nodes, OCR, and reading logs, has a matching command-line tool (ec-android-cli). The AI can run the command and get the result itself. Write the script, compile, run, look at the screen, look at the logs, without a person copying intermediate results back and forth.

APIs that can be checked are aimed at the habit models have of inventing functions that do not exist. After you feed it the real docs, generated code can follow the docs, and compile errors and runtime errors can be fixed against the docs. When the result lines up with the docs, the generated code is usable.

The example below uses EasyClick for Android (no root, official docs). The script language is JavaScript. A little JS is enough to write, and every Java class library can be called directly.

Set up the environment, feed the docs, and close the CLI loop

Set up the environment before you write a script. First, install the EasyClick Android development plugin in IDEA and create a project. The current latest version is 12.4. IDEA 2026.2 or later is recommended (install the plugin and use it directly; IDEA does not need to be activated). Open an empty folder in IDEA as the workspace, right-click to create a module, choose the type “EasyClick Android - script project,” and fill in a module name (Chinese or English is fine; avoid special characters and spaces). Second, connect a device over USB: turn on USB debugging on the phone, then in the IDEA menu choose EasyClick Android - Device connection - Select USB connection. During connection the tool installs the runtime APK on its own (first project tutorial). Third, open the project in Cursor or Trae: select the project folder, and do not select down into the module. If the level is wrong, the AI cannot see the full project structure.

If you do not see an ec_work_config/android/bin directory in the project, the plugin has not generated the CLI yet. Close IDEA and reopen the project folder. That directory holds the CLI for the EC Android build, and SKILL.md.

Once the environment is ready, let the AI know which tools it has. First, have it scan the project structure and SKILL.md: SKILL.md under ec_work_config/android/bin describes each subcommand, its parameters, and examples, and includes an EC script and API cheat sheet. Second, AI DOCS installs all the docs in one click (v12.1.0+): the IDEA top menu has Install AI DOCS. One click puts all the docs under the project, and the AI can search the full API docs locally. What it installs is documentation. Prompt files and similar files that different AI platforms need, the official note says, have to be generated and handled by you. Third, add a docs link with @Docs: in the AI chat type @, choose Docs, then Add new doc, and feed the AI the EasyClick docs address (https://ieasyclick.com/docs/) so it fetches them itself. The docs follow updates on the official site.

The AI has to be able to see the run result before it can change the code itself. ec-android-cli turns the development chain into commands. The output of each command is the input of the next step:

CLI subcommand	What it does	What it gives the AI
build	Build an IEC script package	Compile log (success / failure)
preview	Preview the project	UI preview log
run	Run the project	Run log, error messages
stop	Stop the current run	Stop-result log
capture-screen	Capture a screenshot from the device connected in IDEA	The screen image
capture-node	Capture UI nodes (UIX, which is XML)	The control-tree structure
ocr-local-image	OCR a local image	Text in the image
ocr-screen	OCR the current screen	Text on the screen
test-image	Image-template match test (local image / captured screen)	The match-test result
monitor	Stream logs only	A live log stream

A few usage points (all of them follow the official SKILL.md docs): except for monitor, every subcommand needs -m with the module name. With multiple windows or projects, pass the project root with -p so it matches the right instance. Logs default to JSON. You can append to a file with -o, or auto-generate a log file name with -r (-r and -o cannot be used together). build, run, and preview have built-in default stop keywords (for example compile succeeded, script run finished). You can also set your own with -k. When the keyword appears in the log, monitoring ends, and the AI receives the stretch of log that stopped on the keyword. preview and run need a device connected to IDEA. Otherwise they report that no device is connected.

From one sentence to a script that runs

Put the chain above together and a full development loop looks like this. Step 1 describes the need in plain language, for example: “Write a script: launch the app, find the Recommended button and tap it, then swipe to the bottom of the page.” Step 2, the AI generates a JavaScript script from SKILL.md and the API docs, for example (selector and node docs):

// Find the "推荐" node and tap it; if it is missing, write a log line
let node = text("推荐").getOneNodeInfo(0);
if (node) {
    node.click();
} else {
    loge("未找到");
}

Step 3 compiles the IEC: tell the AI “compile the testai project.” The AI runs ./ec_work_config/android/bin/ec-android-cli build -m testai. On success it produces an IEC script package. On failure, hand the compile log to the AI and have it keep changing the code until it passes. Step 4 is preview or run: after the device is connected, tell the AI “preview testai” or “run testai.” The script runs on the real phone, and a real-device preview can also sync the picture into the IDE. Step 5 is read the log and fix errors: if the run errors, for example card-key verification failed or a node was not found, hand the log to the AI and say “a card-key problem just came up, fix it and keep running.” It changes the code against the log, then compiles and runs again. There is an official video case, “EasyClick + Trae AI wrote the script fully automatically. No more typing the code by hand” (Bilibili).

A few lines you do not cross

A person looks over the generated code. Actions that cannot be undone once they happen, such as typed content, payment, and card-key verification, are checked and then executed. The script counts as done only after compile, preview, run, screenshot, and OCR have all finished on a real phone (or on a device already connected in IDEA). ec-android-cli depends on IntelliJ IDEA already running on this machine, the EasyClick development plugin loaded, and the plugin able to answer commands. The module name on the command line has to match the module name in IDEA. If those conditions are missing, the command fails immediately. Check the environment first. What AI DOCS installs is documentation. Prompt files and config files for different AI platforms, the official note says, have to be generated and handled by you. What the CLI gives the AI is logs, screenshots, nodes, and OCR results. The AI produces a revision. A person decides.

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About EasyClick: A mobile automation script development platform covering three phone ecosystems: Android without root, iOS without jailbreak, and HarmonyOS. It also offers Apple script writing, Apple cluster control, Android cluster control, remote cloud control, and AI phone cluster control. → Explore all products