AI Briefing#test-automation
The latest AI and developer news about #test-automation, with the original source and a short summary.
The latest AI and developer news about #test-automation, with the original source and a short summary.
Tests written by AI may pass without any actual verification, so you must verify the source of the expected values.
The team completed work that would have taken 23 business days manually in 3.5 days, expanding the scope of regression testing.
Code duplication was reduced through common modularization and DTO integration, while scenario-based validation was implemented.
The introduction of a shared queue reduced iOS run time from 25 minutes to 12 minutes.
Combining generative AI and Python to automate API testing for SSG membership restructuring, thereby improving operational efficiency.
Toss has built its own platform, Tossion, which integrates QA data and AI-based release verification.
The Toss QA Platform team introduces Tossion, its in-house QA platform built to maintain quality amid weekly large-scale deployments with recurring changes.
Google's coding agent Jules has been released for free in public beta.
Toss Income built a QA Platform that leverages the existing Swagger Test API to let anyone easily perform testing.
Supports generation and maintenance of validation code via natural language prompts, with integration into CI/CD pipelines.
Kakao has developed an AI QA agent that autonomously executes natural language test cases by leveraging LLMs and accessibility APIs on its DeviceFarm infrastructure.
They dropped the Slack bot that required human intervention and switched to deployment-triggered automation.
By addressing WebView handler issues and CI/CD environment differences, the team lowered the failure rate of Android UI automation.
Applying Sorry-Cypress parallel testing reduced E2E execution time from over 2 minutes to the 30-second range.