InfoQ Homepage Automated testing Content on InfoQ
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Leapwork Play Reaches GA with Governance for Playwright Tests
Leapwork Play adds requirement traceability and approval workflows around portable Playwright tests. Full governance and audit capabilities require an enterprise package.
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Spotify More Than Doubled Monthly Code Changes as AI Accelerated Development
Spotify reports that AI-assisted development more than doubled monthly merged changes, prompting a review of quality and reliability controls across its engineering organization. The company describes changes to testing, observability, rollback capacity, workload prioritization, and automated maintenance as it adapts to higher software change volume.
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Github Migrates Copilot Runtime to Rust with AI-Assisted Rewrite
GitHub migrated more than 800,000 lines of Copilot runtime code from TypeScript and Node.js to Rust in about 14.5 weeks using AI-assisted development. The incremental migration used N-API interoperability, automated testing, human review, and 128 pull requests while continuing to ship releases.
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Akka Tests Spec-Driven AI Delivery across 65 Open Source Projects
Akka used 65 open-source projects to examine how specification structure, context, model selection, automated validation, and delivery guardrails affect AI assisted software porting. The experiment measured time, token use, code size, test parity, and performance, finding substantial variation across models, effort levels, and project types.
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Grafana Turns Cypress Test Results into Persistent Observability Data
Grafana Labs has published a practical approach for monitoring Cypress test suites by converting test results into Prometheus metrics and sending them to Grafana Cloud.
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How to Make Testing More Sustainable
By using a sustainable testing strategy, you can skip unnecessary tests, ensure failing fast and early, and only run tests affected by code changes. Tracking energy use per test and using static code analysis can help spot inefficiencies and guide optimization efforts.
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Cloudflare Cuts Astro GitHub Issues by 85% with AI Agents
Cloudflare, Astro, AI agents, GitHub Actions, issue triage, agentic AI, software architecture, open source, developer tools, AI automation, automated testing, human in the loop, agent workflows, GitHub, software engineering, AI software development, bug triage, continuous integration, developer productivity, autonomous agents, AI coding, Cloudflare Workers, Flue, triagebot
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Slack Introduces Agent Driven End-to-End Testing to Improve Resilience in UI Test Automation
Agentic testing is an AI-driven approach to end-to-end test automation introduced by Slack engineering. It uses AI agents that execute workflows based on intent rather than fixed scripts, adapting to UI and system changes at runtime. The approach aims to reduce brittle tests in distributed systems while complementing deterministic unit, integration, and E2E testing strategies.
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Meta Reports 4x Higher Bug Detection with Just-in-Time Testing
Meta introduces Just-in-Time (JiT) testing, a dynamic approach that generates tests during code review instead of relying on static test suites. The system improves bug detection by ~4x in AI-assisted development using LLMs, mutation testing, and intent-aware workflows like Dodgy Diff. It reflects a shift toward change-aware, AI-driven software testing in agentic development environments.
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Nuxt Test Utils v4: Vitest v4 Requirement, Mocking Overhaul and Stricter Environment Setup
Nuxt Test Utils has released version 4.0.0, which primarily integrates Vitest v4. This update changes the test environment setup to beforeAll, resolving issues with module-level mocks. It also improves mockNuxtImport for cleaner partial mocking and enhances state management for registered endpoints. The library remains vital for testing in the Nuxt framework, bridging unit and end-to-end testing.
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DoorDash Builds LLM Conversation Simulator to Test Customer Support Chatbots at Scale
DoorDash engineers built a simulation and evaluation flywheel to test large language model customer support chatbots at scale. The system generates multi-turn synthetic conversations using historical transcripts and backend mocks, evaluates outcomes with an LLM-as-judge framework, and enables rapid iteration on prompts, context, and system design before production deployment.
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How a Small Enablement Team Supported Adopting a Single Environment for Distributed Testing
Po Linn Chia presented how they re-used a single development environment to deploy multiple service versions for testing their distributed system in her presentation "No QA Environment? No Problem" at Dev Summit Boston. A small enablement team, cultural buy-in, and gradual learning helped teams collaborate, reduce cognitive load, and scale testing practices.
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Lessons Learned from Migrating a Legacy Test Suite to Gauge with Kotlin
Liran Yushinsky shared how his team replaced brittle bash and kubectl tests with a unified Kotlin + Gauge framework. Using Fabric8, Terraform, and Ansible, they automated their test environments. Feedback loops dropped from hours to minutes, developers joined testing efforts, and shared ownership boosted quality and release speed.
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Vitest Team Releases Version 4.0 with Stable Browser Mode and Visual Regression Testing
Vitest 4.0, the Vite testing framework, revolutionizes browser-based testing with stabilizations, built-in visual regression support, and enhanced debugging. With major features like stable Browser Mode and Playwright Traces integration, it streamlines workflows. Developers benefit from a smoother upgrade path and an optimized experience, reinforcing Vitest as a comprehensive testing solution.
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Introducing Evalite: the TypeScript Testing Tool for AI Powered Apps
Evalite is a TypeScript-native eval runner designed for AI applications, enabling developers to create reproducible evals with rich outputs. Featuring first-class trace capture, scoring, and a user-friendly web UI, Evalite enhances testing ergonomics and iteration speed. Open-source under MIT, it seamlessly integrates with any LLM, ensuring complete data control and fostering rapid development.