#AI-powered testing
147 related articles
·4 min
AI-Powered Automated Testing: Using Pytest + MCP to Tackle Non-Determinism
Deep dive into AI-era automated testing: using Pytest + Playwright + MCP for stable automation, constraining code conventions with Skills, avoiding non-determinism and high token costs. Includes real debugging war stories.
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·2 min
AI-Powered Playwright: A Beginner's Guide to Zero-Code Web Automation Testing
Compare Playwright vs Selenium, explore Playwright's DevTools Protocol speed advantages, smart locators, and AI integration via MCP for zero-code web automation testing.
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·3 min
AI-Powered Playwright: A Practical Guide to Zero-Code Web Automation Testing
Explore Playwright's core advantages including DevTools Protocol architecture, smart locators, and high-concurrency support, plus how to achieve zero-code automation testing with AI via MCP.
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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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Tutorials·1 min
Software Testing Job Search Guide: Resume Strategies, Interview Tips & AI-Powered Testing in Practice
A complete guide to software testing job searches, covering resume strategies, interview tips, salary-based skill requirements, and AI-powered testing trends.
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·2 min
CodeCrucible: A New Paradigm for LLM-Driven Static Code Security Analysis
Explore how CodeCrucible uses LLMs to revolutionize static code security analysis (SAST), comparing traditional tool limitations with semantic-driven vulnerability detection.
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·2 min
CodeCrucible: A New Paradigm for LLM-Driven Static Code Security Analysis
Explore how CodeCrucible uses LLMs to revolutionize static code security analysis (SAST), comparing traditional tool limitations with semantic-driven vulnerability detection approaches.
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·3 min
From Demo to Production: The Real Challenges of Deploying LLM Systems
Deep analysis of deploying LLM systems from prototype to production: a real-world AI incident investigation assistant case study revealing key engineering challenges beyond the model.
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·3 min
From Demo to Production: The Real Challenges of Deploying LLM Systems
Deep analysis of deploying LLM systems from prototype to production: a real-world AI incident investigation assistant case revealing critical engineering challenges beyond the model.
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·2 min
A Beginner's Guide to Vibe Coding: Building Your Career Moat with AI Programming
A detailed guide to Vibe Coding with AI programming tools like Claude Code, Cursor, and Codex. Learn how to leverage AI-driven development to ship products independently and build lasting career value.
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·2 min
Getting Started with Claude Code: Environment Setup, Switching to Chinese Models, and Git Workflow Explained
A complete Claude Code beginner's guide: from CLI installation and switching to Chinese models like DeepSeek via CC Switch, to conversational Git operations, multi-branch management, and automated bug fixing.
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·2 min
Getting Started with Claude Code: A Complete Guide to Installation, Configuration, and Git Workflows
An in-depth guide to Claude Code from installation to hands-on practice: CLI setup, switching to domestic LLMs (CC Switch tool), conversational Git workflows, plus project analysis and automated bug fixing tips for AI-powered coding.
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·2 min
Vibe-Research Deep Dive: A Complete Guide to This Open-Source AI Investment Research System
A hands-on look at Vibe-Research, an open-source AI investment research tool supporting A-share, HK, and US stocks, with DeepSeek, Claude, and Codex integration.
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·4 min
7 Core Components for Designing Long-Running AI Agents
A deep dive into the 7 core components for building long-running AI Agents: Goal, Evaluator, Verifier, Loop, Orchestration, Observability, and Memory.
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·4 min
Claude Code Getting Started: Environment Setup, Core Commands, and Git Workflow Automation
A practical guide to Claude Code covering installation, Chinese LLM switching, project analysis, key commands, and conversational Git workflow automation for developers.
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·4 min
Can AI Discover Alpha? A Deep Dive into Qlib and RD-Agent
Can AI truly discover Alpha automatically? This deep dive into Microsoft's open-source Qlib and RD-Agent reveals the 3 critical backtest pitfalls and 6 overfitting prevention gates every quant researcher needs to know.
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·2 min
Vibe Coding in Practice: From Idea to Real Product — No Coding Required
Vibe Coding is an AI-driven development paradigm that requires no coding skills. Use natural language to guide AI through design, development, and testing. Learn the 4-step workflow using Gemini, Figma Make, and Claude Code.
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·2 min
AI Skills in Practice: How Test Engineers Can Automate API Testing and Generate Test Cases at Scale
Learn how AI Skills are transforming software testing. This guide covers Skill architecture, learning paths, and real-world applications in API automation and WebApp testing.
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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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·3 min
Build a Flask Visual Database Query System in 20 Minutes with Trae
Learn how to use Trae, ByteDance's free AI coding tool, to build a Flask-based visual database query system (EasyQuery) in just 20 minutes. Full walkthrough included.
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