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AI

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 204

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.

software-quality-assurance software-testing AI LLM Evaluation 213

Breaking the Automation Deadlock: How Trip.com Boosted Efficiency with a BDD-driven HTA Architecture

Discover how Trip.com revolutionized its QA process using a BDD-driven HTA architecture. Learn how they achieved 91% code coverage, reduced testing costs by 80%, and automated test code generation.

automated-testing AI 206

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 210

75% Interest, 16% Adoption: Unpacking the AI Gap in Software Testing

A 2025 empirical study reveals the reality of AI in software testing. While 75% of companies prioritize it, actual adoption is only 16%. Learn why current applications consist mainly of individual assistants rather than system-level solutions.

software-testing AI 209

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 206

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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Advancing Test Quality | Foundations (3): A Comprehensive Guide to Testing Types and Levels — From Unit Testing to Acceptance Testing

Explore the core levels and types of software testing in the era of AI and Cloud-Native tech. Learn how to implement Unit, Integration, System, and Acceptance testing to build a "full-process" quality assurance system.

software-testing automated-software-testing AI 203

AI for Test Engineers: A Practical Learning Framework (and 3 Pitfalls to Avoid)

Master AI testing with this expert-led 10-step roadmap. Learn how to integrate LLM APIs, RAG, and AI agents into your QA workflow. Includes a 3-6 month practical plan and 3 critical pitfalls to avoid for test engineers.

testing-techniques testers test-plan AI 206

2026 AI Trends: 6 Key Breakthroughs Ending LLM Hyper-Competition—Is Open Source + Intelligence the Next Big Leap?

Explore the top 6 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 206

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