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AI

The Future of Software Testing in the AI Era: Trends, Challenges & Practical Strategies

Explore the future of software testing in the AI era—key challenges, trends in testing AI systems, how AI empowers traditional testing, and practical strategies for testers to thrive. Learn how to adapt without rushing or waiting.

AI ai-testing-tools AI Testing 244

Practice of Large Model Technology in Financial Customer Service

Discover how large model fine-tuning transforms financial customer service at China Everbright Bank. Explore 3 application paradigms, technical architecture, and achieve 80% ticket summary accuracy with AI.

AI AI QA AI Testing Large Model Technology 217

Testing as a Craft: Reshaping QA in the Age of AI (20-Year Insight)

Explore the 20-year evolution of software testing. From manual automation to DeepSeek R1, a veteran practitioner shares deep insights into AI-driven innovation, technical paradigms, and the future of the testing craft. Read the full roadmap.

AI Software Testing Industry Insights 251

Mastering Large Model Development from Scratch: Beyond the AI "Black Box"

Stop being a mere AI "API caller." Learn how to build a Large Language Model (LLM) from scratch. This guide covers the 4-step training process, RAG vs. Fine-tuning strategies, and how to master the AI "black box" to regain freedom of choice in the generative AI era.

AI LLM 237

AI-Driven Testing: Evolution from Assistance to Autonomy — Youzan, Ctrip & China Unicom Case Study

Explore how Youzan, Ctrip, and China Unicom are revolutionizing QA. Learn about the shift from AI-assisted to autonomous testing, featuring AITest, AI Tester, and intelligent computing network platforms. Discover key efficiency metrics and implementation strategies.

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Reflecting on the AWS Outage: Uncovering Cloud Testing Blind Spots and AI Strategies

A catastrophic AWS outage in October 2025 exposed critical flaws in modern cloud testing. This analysis details the $10 billion disaster’s root causes—from hidden dependencies to race conditions—and explores how AI-powered resilience strategies can prevent future global system crashes.

AI 212

Advancing Test Quality | Core Process (2): Test Case Design: The Integration of Traditional Methods and AI-Empowered Practices

Master 2026 test case design by integrating traditional logic with AI tools. Explore equivalence partitioning, boundary analysis, and GenAI strategies for superior QA efficiency.

automated-testing software-testing AI 218

Advancing Test Quality | Core Process (1): Test Plan and Requirements Analysis: How to Build a Test Framework in the AI Era

Master the 2026 intelligent testing paradigm. Learn how AI agents optimize requirements analysis and dynamic test planning, covering ROI, model fairness, and "shift-left" strategies for superior software quality.

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2026 AI Trends in Software Testing: From LLMs to Autonomous Agents

Explore the top AI predictions for 2026. Learn how open-source models, self-verifying agents, and interoperable ecosystems are ending the "bigger is better" era to deliver real-world ROI and smarter automation.

automated-testing AI 248

From Reddit Rants to Real-World Impact: AI Testing Tools That Truly Save QA Time in 2026

Is AI in QA just marketing hype or a genuine game-changer? In this deep dive, we move past the "Reddit skepticism" to identify which AI testing tools are actually delivering results in 2026.

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