#software testing
27 related articles
·3 min
Codex + Claude Code in Practice: From Vibe Coding to Enterprise-Grade AI Engineering
A deep dive into Codex and Claude Code for real-world AI programming—from Vibe Coding prototypes to Plan mode and SuperPAL engineering, with LLM selection strategies and enterprise workflows.
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·3 min
Claude Code + Skills: Auto-Generating Test Cases in 10 Minutes — A Practical Guide
Learn how to use Claude Code's Skills system to auto-generate test cases from requirements docs in 10 minutes through a three-phase workflow of splitting, extraction, and generation.
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·4 min
Vibe Coding Methodology for Non-Programmers: Building an AI Development Loop with Automated Testing + Knowledge Accumulation
How can non-programmers develop efficiently with AI? This guide details end-to-end automated testing and knowledge accumulation to build a self-verifying Vibe Coding development loop.
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·4 min
Five Essential Cursor Skills Every QA Engineer Needs: A Complete Breakdown
A detailed guide to five essential Cursor Skills for QA engineers: PRD analysis, test case generation, JMeter scripting, load test reports, and web automation.
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·3 min
AITS Hands-On Review: API + Web + App Automated Testing All in One Platform
In-depth review of AITS: an AI testing platform covering API automation, Web automation, App real-device cloud testing, and performance testing end-to-end.
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·2 min
Struggling to Deploy AI Agents? Engineering Is the Key to Going from Demo to Product
57% of projects have deployed AI Agents, but 40% will be killed. This article analyzes the engineering methodology for taking AI Agents from Demo to enterprise product, covering the full process from requirements to deployment.
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·1 min
Claude Fable 5 as a Computer Use Orchestrator Model: Excelling in Long-Running Agent Workflows
Anthropic launches Claude Fable 5 as a Computer Use orchestrator model for Pro and Max users, excelling in long-running agent workflows for automation tasks.
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·3 min
AI Large Language Models Explained: Transformer Architecture & Practical Testing Guide
Deep dive into AI large model principles, from Transformer architecture to probabilistic inference, with practical guidance on LLM applications in testing and AI testing strategies.
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·2 min
Andrew Ng on AI Agent Development: Evaluation and Error Analysis Are the Core Competitive Advantage
Andrew Ng argues that the core gap in AI Agent development isn't model selection — it's systematic evals and error analysis. A breakdown of his methodology.
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·4 min
Agent Beginner's Guide: Architecture Principles and Practical Efficiency Tips
A deep dive into AI Agent principles, core architecture, and practical applications. Learn how Agents differ from LLMs and how to leverage Agent Skills to boost productivity.
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Connecting Claude Code to DeepSeek: A …
·2 min
Connecting Claude Code to DeepSeek: A Guide to Setting Up an AI-Driven Testing Environment
Learn how to connect Claude Code to DeepSeek LLM for AI-driven testing. Covers Terminal vs Device Agents, Node.js setup, Claude Code installation, and DeepSeek integration.
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Getting Started with Claude Code: Setu…
·3 min
Getting Started with Claude Code: Setup, Configuration & AI-Driven Testing in Practice
A practical guide to Claude Code: core concepts, setup tips, and how to pair it with DeepSeek for AI-driven software testing workflows.
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·3 min
One-Click JMeter Script Generation with AI Skill: A Practical Technique for 12x Efficiency Gains
Automate JMeter script generation with AI Skills, cutting manual configuration from 1 hour to 5 minutes. Learn the core Skill template elements, real efficiency data, and team standardization value.
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Claude Code Skills Encapsulation: Maki…
·1 min
Claude Code Skills Encapsulation: Making AI Testing Tools Truly Efficient and Reusable
Learn how to encapsulate Claude Code Agent Skills for test case design. Solve prompt repetition pain points with on-demand loading and skill reuse techniques.
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·2 min
datasette-fixtures: Create a Datasette Test Database with a Single Command
The datasette-fixtures plugin lets Datasette plugin developers quickly create a standard test database with a single uvx command, greatly simplifying plugin testing.
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·3 min
Dify Local Deployment Tutorial: A Beginner's Guide Using Virtual Machine + BT Panel
Step-by-step Dify local deployment guide using VMware, Ubuntu, BT Panel, and Docker. Perfect for beginners with zero Linux experience to set up this open-source AI development platform.
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Tutorials·3 min
Advanced LangGraph in Practice: Complete Guide to Agent Optimization, Evaluation, and Cloud Deployment
Deep dive into three advanced LangGraph topics: multi-agent architecture optimization, evaluation frameworks for non-deterministic AI systems, and cloud deployment with LangGraph Platform.
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Tutorials·4 min
Skills vs Coze vs Dify: A Hands-On Comparison — Which AI Tool Is Best for Auto-Generating Test Cases?
Hands-on comparison of Skills, Coze, and Dify for AI-powered software testing — covering auto-generated test cases from PRDs, performance reports, and Q&A bots to help testers choose the right tool.
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Tutorials·4 min
Skills vs Coze vs Dify: A Hands-On Comparison — Which AI Tool Is Best for Auto-Generating Test Cases?
Hands-on comparison of Skills, Coze, and Dify for AI-powered software testing: auto-generating test cases from PRDs, performance reports, and requirements Q&A bots.
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Research·3 min
MementoGUI: A Multimodal Memory Management Framework for Solving Long-Horizon GUI Agent Amnesia
MementoGUI is a plugin-style multimodal memory management framework that solves GUI agent forgetting in long-horizon tasks through dual time-scale memory and four memory control operators, boosting long-task completion without fine-tuning.
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