#QA automation
84 related articles
·3 min
Qwen3.8 Deep Dive: How Does a 2.4 Trillion Parameter MoE Model Claim Second Place?
Alibaba's Qwen3.8 challenges larger models with a 2.4T-parameter MoE architecture, claiming second only to Gemini. A deep dive into MoE mechanics, continuous updates, two-speed release strategy, and real local deployment requirements.
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GitHub Daily · July 22: Financial Foun…
·3 min
GitHub Daily · July 22: Financial Foundation Model Kronos Leads, Architecture Visualization and the Claude Skills Ecosystem Soar
GitHub Trending July 22: Kronos brings the foundation model paradigm to finance, awesome-claude-skills tops with 70K stars, plus LikeC4 architecture-as-code and Rust-based Pumpkin.
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·3 min
Knowledge Graph-Enhanced RAG: Building a More Powerful Q&A System
A deep dive into the DeepLearning.AI & Neo4j course 'Knowledge Graphs for RAG' — covering core concepts, vector retrieval synergy, and hands-on SEC filing demos.
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·4 min
Cursor Designer: Why Software Must Retain Its Human Touch in the Age of AI Acceleration
Cursor designer Rio: AI compresses build loops dramatically, but risks flooding the world with mediocrity. From Glass UI principles to the migration of craft — why human agency, taste, and responsibility remain software's true core.
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·2 min
Claude Code for QA Engineers: A Practical Handbook from Basics to Engineering-Level Implementation
A practical Claude Code handbook built for QA engineers — covering environment setup, spec-driven development, Skill encapsulation, MCP integration, and AI test sub-agents across 10 core modules.
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·6 min
OpenAI vs Anthropic IPO Race: Who's Really Burning Cash? A Deep Dive Into AI Giants' Finances
OpenAI's adjusted operating margin hits -122%, Anthropic's profitability remains murky, and SpaceX claims a $22.7T AI market. A deep dive into three AI giants' real financials and the capital game behind the IPO race.
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·2 min
6-Day Open Source AI Agent: Natural Language-Driven Android Automation Testing
Veta is an open source AI testing agent: just describe your test goal in natural language and it autonomously plans, executes, verifies, and reports Android test results — no scripts needed.
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·4 min
GPT-5.6 + Codex Tested: 3 Prompts to Edit a 15-Minute Video, Efficiency Doubled
OpenAI's GPT-5.6 and Codex integration tested: 3 prompts to edit a 15-min video in just 20 minutes. Full breakdown of performance, Token costs, GPT Work automation, and Chat Card real-world results.
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·2 min
Cursor + Appium: Building a Full Mobile Automation Testing Workflow with AI
Learn how to combine Cursor AI with Appium in a 4-step workflow—environment check, test planning, project generation, and reporting—to build mobile automation fast.
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·3 min
AI Testing End-to-End in Practice: A Complete Guide from Test Case Generation to Agent Automation
A deep dive into AI testing workflows: API capture, test case generation, Agent orchestration, and automated execution. Learn the two core challenges — incomplete information and mandatory human review.
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·1 min
Claude Code + Skills: Full Walkthrough of Auto-Generating Test Cases in 10 Minutes
With Claude Code and a Skills framework, go from requirements doc to test cases in under 10 minutes. A 3-stage automated pipeline: breakdown, extraction, and generation.
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·2 min
Vibe Coding: The Full-Stack AI Development Methodology for the Solo Founder Era
Vibe Coding is reshaping software development — use natural language to direct AI through code, design, testing, and marketing. A guide for solo founders and indie developers.
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·3 min
AI Tool Selection Guide for Test Engineers: A Hybrid Approach to Avoid Three Common Pitfalls
How should test engineers choose AI tools? This guide breaks down the pitfalls of pure AI solutions and recommends a hybrid strategy using tools like DeepSeek, TRAE, Claude Code, and Skill encapsulation.
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·2 min
Testing the Claude Code Job Hunting Agent: A Deep Dive into AI Job Search, the 20K-Star Open Source Project
AI Job Search is an open source, Claude Code-powered job search automation tool with over 20K GitHub stars. It offers resume tailoring, cover letter generation, dual-Agent QA, and keeps humans in control of submission.
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·3 min
Farewell to a Decade-Old VPS: Technical and Emotional Insights from Retiring an Old Server
A tweet saying "rest well, old friend" resonated across the tech community. This article explores VPS lifecycle management, best practices for retiring old servers, and the unique emotional bond between engineers and infrastructure.
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·7 min
Base44 in Practice: How Claude Code Powered Rapid Scaling from 1 to 80 People
How Base44's product team scaled from a single founding engineer to an 80-person team with Claude Code. Covers AI-assisted onboarding, code review, user evaluation, and QA automation.
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·5 min
Practical Guide to Deploying Invoice Analysis AI: Model Selection and Architecture Pitfalls
How can enterprises process 50+ invoice formats with AI? This article analyzes visual document understanding approaches—multimodal LLMs, OCR+LLM, and hybrid architecture—with key decision advice for non-technical AI leads.
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·6 min
GPT-5.6 Hands-On Deep Dive: ChatGPT and Codex Merge, Full Analysis of the Sol Model
GPT-5.6 is officially released, merging ChatGPT and Codex into one app and launching the three-tier Sol, Terra, and Luna models. A detailed breakdown of 16 hands-on tests plus Worker mode and Codex dev upgrades.
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·3 min
3 Skill Configurations That Turn Claude Code into a Testing Powerhouse — Say Goodbye to Repetitive Work
Still using Claude Code as a chatbot? Learn 3 Skill configurations for QA engineers: Bug report generation, code risk review, and test data construction.
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·3 min
Huawei Pangu 2.0-Flash Benchmark Review: #1 in Instruction Following, Last in Engineering Code
Huawei OpenPangu 2.0 Flash review: 92B MoE open-source model tops instruction following at 95.9, excels in math & Agent tasks, but scores last on SWE-Bench engineering code at 63.1.
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