#test engineer skills
1268 related articles
Tutorials·2 min
Gemini 3.1 Hands-On: Deploy a Professional Website in 5 Minutes with Zero Code
Step-by-step guide using Google AI Studio with Gemini 3.1 Pro to generate a professional responsive landing page with SVG animations and deploy it live for free via GitHub + Vercel—zero code required.
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Product Reviews·2 min
Claude Code Game Studios: 49 AI Agents Form a Complete Game Development Team
Claude Code Game Studios uses 49 AI Agents and 72 workflow commands to simulate a real game studio's three-tier hierarchy, supporting Godot, Unity, and Unreal, giving solo devs a full team's capability.
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Product Reviews·1 min
GPT 5.4 vs Claude 4.6: How to Choose Your AI Coding Tool? In-Depth Comparison & Best Setup
In-depth comparison of Codex (GPT 5.4) vs Claude Code (Opus 4.6) across coding ability, frontend development, ecosystem integration, and cost-effectiveness, with the best AI coding tool combo for a $200 budget.
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Tech Frontiers·1 min
Claude Opus 4.5 Crushes Humans in Engineering Test: AI Coding Ability Now Surpasses Top Engineers Across the Board
Anthropic's Claude Opus 4.5 beats all human candidates on internal engineering exam, sets SWE-Bench record at 80%. Deep dive into benchmarks, creative problem-solving, safety alignment, and enterprise applications.
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Product Reviews·2 min
DeepSeek V4 Coding Test: Top-Ranked Kimi Fails, Claude Remains the Strongest
Real coding test of DeepSeek V4, Claude Opus, GPT, and Kimi K2.6 on the same full-stack game task. Top-ranked Kimi K2.6 fails completely while Claude succeeds first try.
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Product Reviews·2 min
DeepSeek V4 Deep Dive: Three Major Innovations — Hybrid Attention, Manifold-Constrained Hyperconnections, and MOM Optimizer Fully Explained
Deep dive into DeepSeek V4's three core innovations: Hybrid Attention for million-token context, Manifold-Constrained Hyperconnections, and MOM Optimizer. Pro model rivals Claude Opus 4.6 at 1/7 the cost.
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Tutorials·2 min
Complete Codex Workflow Configuration Guide: Plugins, Skills, MCP & CLI in Practice
Complete guide to building Codex workflows covering plugins, Skills configuration, MCP services, CLI tool selection, and sub-agent parallel tasks for efficient AI programming.
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Tech Frontiers·2 min
Must-Know AI Skills for Software Testing Interviews in 2026: Four Core Competencies & Top Interview Questions Explained
In 2026, AI skills are a hard requirement for software testing roles. Learn the four core competencies enterprises demand, top interview questions with answer frameworks, and a complete learning path.
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Tech Frontiers·3 min
AI-Powered Load Testing in Practice: Completing 30 Days of Performance Testing in 1 Day
Learn how to combine Heiyu Loader and AI coding agents to automate the full performance testing pipeline — from test cases to reports — in 1 day instead of 30.
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Tech Frontiers·3 min
AI Test Development Learning Path: A Practical Guide from Prompt Engineering to RAG Knowledge Bases
A systematic AI test development learning path covering LLM fundamentals, prompt engineering, PyTest automation, RAG knowledge bases, and MCP tool chains to help QA engineers master AI-empowered testing.
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Tech Frontiers·1 min
Superpowers Open-Source Framework: A Methodology for Making AI Coding Assistants Think Before They Code
Superpowers is an open-source AI coding framework with 180K GitHub Stars that uses Spec First, TDD, and Subagent task decomposition to transform AI assistants from code generators into engineering partners.
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Product Reviews·2 min
Hands-On Review of Miaoda AI Website Builder: Zero Code, Three Minutes to a Personal Website — Is It Really That Easy?
Hands-on review of Miaoda AI website builder: generate a personal website in 3 minutes through conversation with zero coding. Covers workflow, prompt tips, core strengths, and limitations.
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Tutorials·2 min
NestJS + LangChain + Tauri 2: A Practical AI Full-Stack Development Solution
An enterprise AI full-stack solution using NestJS, LangChain, LangGraph, and Tauri 2, covering AI service platforms, multi-agent orchestration, RAG, and cross-platform delivery for frontend developers.
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Tutorials·2 min
OpenClaw Agent Architecture in Practice: Skills System Deployment & LangChain Reproduction Guide
Deep dive into OpenClaw's industrial-grade Agent architecture with its three-layer design, pluggable Skills system, and memory management. Includes a step-by-step LangChain reproduction guide with an enterprise HR assistant example.
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Tutorials·2 min
How Frontend Engineers Can Systematically Build AI Agent Architecture Skills
How frontend engineers can move beyond API calls to build production AI systems — covering streaming output, BFF layers, RAG pipelines, and Agent orchestration with LangChain.js/LangGraph.js.
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Tutorials·2 min
Build an AI Agent in 200 Lines of Python: A Deep Dive into Five Core Modules
Build an AI Agent in 200 lines of Python from scratch. A deep dive into the five core modules: Prompt, Memory, Tool Use, RAG, and Skill, with progressive development workflow.
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Tutorials·2 min
Claude Code Skill Creator in Practice: Build Automated Testing Skills in 4 Steps
A detailed guide to Claude Code Skill Creator's complete workflow: from writing requirements and generating skills to natural language iteration and old skill cleanup for test automation.
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Tutorials·2 min
LangChain Beginner's Guide: A Complete Guide to LLM and Agent Development
A deep dive into LangChain framework essentials, clarifying the key differences between LLMs and Agents, covering Agent development, DeepAgent advanced topics, and learning paths.
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Tutorials·2 min
OpenCode in Practice: Building a Fully Automated YOLOv8 Object Detection Pipeline with Zero Code
Learn how to use OpenCode's Skill model to automate the entire YOLOv8 object detection workflow — from camera recording and auto-annotation to training and real-time detection — with zero code in just two hours.
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Product Reviews·2 min
HiSnap AI Hands-On Review: Can You Really Build a Mini Program in Minutes with Zero Code?
Hands-on review of HiSnap AI multi-agent development platform: building mini programs in minutes with zero coding, from runner games to professional questionnaires. Analyzing real capability boundaries.
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