Unlocking UI Automation: Introducing the Resource ID Identifier Agent
Automate the detection of missing Android UI resource IDs for robust, maintainable test automation

Karri Sai Sudheer ReddySenior Product Engineer in Test @QApilot Ex - CISCO | Playwright | Type Script | Java Script | Appium | Selenium | TestNG | <= ISTQB - AWS - Cybersecurity Certified
Unlocking UI Automation: Introducing the Resource ID Identifier Agent
In modern mobile app development, automation and testing hinge on stable UI references. Yet, missing or inconsistent resource IDs in Android layouts often derail test scripts, leading to brittle automation frameworks and frustrating maintenance headaches. Today, we’re excited to unveil the Resource ID Identifier Agent, a lightweight API designed to scan your XML layout and screenshots, pinpoint missing resource-id attributes, and streamline your UI automation workflow.
The Challenge: Fragile Automation Due to Missing IDs
Automation engineers rely on unique, stable selectors to interact with UI components. When an element lacks a resource-id, scripts often fall back on screen coordinates or hierarchical paths—approaches that break under even minor design changes. This not only slows down test creation but also inflates maintenance costs as UIs evolve.
Key pain points:
Unreliable Locators: XPath or pixel-based references fail with layout adjustments.
Increased Maintenance: Every UI tweak forces script updates across multiple tests.
Accessibility Gaps: Missing IDs often correlate with missing content descriptions, hampering assistive technologies.
Meet the Resource ID Identifier Agent
What It Does
This API ingests your app’s XML layout and a screenshot, then:
Parses the XML to catalog every UI element.
Analyzes element attributes to detect missing.
resource-idGenerates a concise report summarizing how many elements are properly tagged, and where gaps exist

API Changes: Embracing Base64 Images
Originally, the agent accepted image URLs. To improve reliability and simplify mobile integration, we’ve updated the POST /kickoff endpoint to accept base64-encoded images directly in the request body:
{ "base64image": "iVBORw0KGgoAAAANSUhEUgAA...", "xml_url": "https://example.com/data.xml" }
This shift eliminates network dependencies on external image hosts and accelerates analysis by keeping image payloads within the API call itself.
Endpoint Overview
POST /kickoff
Accepts a JSON payload containing the XML URL and a base64-encoded screenshot. Returns akickoff_idfor tracking.GET /status/****:kickoff_id
Poll this endpoint to retrieve a detailed summary, including:Total elements scanned
Count of elements with and without
resource-idDetailed lists of missing IDs (XPaths, bounds, text)
All requests require a bearer token in the Authorization header to ensure secure access.
Real‑World Use Case: QA Bots That Don’t Break
Imagine a nightly test suite running against your latest build. The Resource ID Identifier Agent can be part of your CI pipeline:
Kickoff the agent after each build, providing the latest XML and screenshot.
Automate tagging: Feed its report into a script that updates missing IDs in your layout XML.
Re-run tests with full confidence, knowing all UI elements have stable selectors.
This loop bridges the gap between design and test, ensuring your automation keeps pace with feature releases.
Getting Started
Clone the repo:
git clone https://github.com/Sudheer-CodeCrusader/Agent_Resource_finder.gitInstall dependencies:
npm installStart the server:
npm startWhy It Matters
By automating the discovery of missing resource IDs, your team spends less time troubleshooting brittle tests and more time building great features. Whether you’re a QA engineer, developer, or product manager, the Resource ID Identifier Agent offers:
Speed: Fast identification of UI gaps.
Reliability: Consistent test locators across builds.
Accessibility: Encourages proper tagging for assistive tools.
Ready to streamline your Android UI tests? Head over to the GitHub repo to get started, and join the conversation in our issue tracker for feature ideas and support. Together, let’s make UI automation more resilient and efficient!
Published on July 3, 2025