#AI automation testing
667 related articles
·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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·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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·6 min
Playwright E2E Builder: Engineering AI-Driven Web Automation Testing
Playwright E2E Builder is an AI Skill installed in Cursor that transforms UI automation from throwaway scripts into sustainable engineering assets through a four-step workflow, with built-in locator health checks.
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·6 min
Semi-AI Mode: A Practical Guide to Implementing API Automation Testing
Can't make pure AI work? This guide explores the Semi-AI approach to API automation testing, covering key challenges, enterprise framework design, and how AI and frameworks work together for maximum impact.
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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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Tutorials·4 min
Semi-AI Mode: A Pragmatic Approach to API Automation Testing Frameworks
Explore the semi-AI approach to API automation testing: why pure AI fails, framework design principles, technology choices, and clear human-AI division of labor for practical implementation.
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·2 min
Impeccable Open Source Project Deep Dive: A Design Language Framework That Gives AI a Designer's Eye
Deep dive into the trending open source project Impeccable — a design language framework that enables AI tools to generate professional-grade UI. Learn how it bridges the design quality gap in AI-generated interfaces.
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·3 min
Jenkins Deep Dive: The Evergreen King of CI/CD Automation
An in-depth analysis of Jenkins' technical architecture, plugin ecosystem, distributed builds, and use cases — explaining why it remains the CI/CD leader.
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·2 min
How Users Gradually Learn to Trust Gemini: The Shift from Full Supervision to Selective Delegation
Exploring how users evolve trust in Gemini and generative AI—from verifying everything to selective delegation, analyzing trust patterns, key factors, and the trust drift trap.
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·2 min
Dependabot Cooldown Period Explained: Why Delaying Dependency Updates by Three Days Is Safer
GitHub Dependabot now defaults to a three-day cooldown for version update PRs to guard against supply chain attacks and improve dependency stability.
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·3 min
How GitHub Established Reliable Ownership for 14,000 Repositories in 45 Days
GitHub had over 14,000 internal repos with less than half having clear ownership. In 45 days, they verified ownership for every active repo through activity filtering, validation, and archiving.
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·3 min
GitHub Agentic Workflows in Practice: Automating Cross-Repository Documentation Updates
Learn how GitHub Agentic Workflows automate cross-repo documentation updates. See the Aspire team's AI-driven approach: event triggers, smart drafting, and SME review to keep docs in sync with code.
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·2 min
Qoder vs Cursor: A Hands-On Comparison of AI Coding Tools
Which is better, Qoder or Cursor? This article compares both AI coding tools through real development scenarios across context understanding, code quality, and Agent autonomy to help you choose the best fit.
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·4 min
Claude Code Tutorial: Environment Setup, Command Reference & Git Workflow in Practice
Complete guide to Claude Code covering CLI installation, domestic model switching, core commands, Git automation workflows, and automated code review and fix loops for enterprise projects.
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·4 min
How Should Legal Education Transform in the AI Era? A Complete Guide from Curriculum Reform to Talent Development
Generative AI is profoundly disrupting the legal profession. This article explores AI's impact on law, law school curriculum reform, and the core competencies future lawyers need, including critical judgment, AI proficiency, and ethical literacy.
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·4 min
From Solo Analyst to Team Data Platform: A Practical Guide to Leveling Up Your Tech Stack
How should a data scientist upgrade their tech stack when transitioning from IC to team lead? A phased roadmap covering Git, dbt, Snowflake, modern data stack, and generative AI.
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·3 min
Kimi K3 Released: How a 2.8 Trillion Parameter Open Model Reshapes AI Cost-Effectiveness
Moonshot AI unveils Kimi K3: a 2.8 trillion parameter, 1M context, natively multimodal open model. With KDA architecture and ultra-low cost, it rivals GPT-5.6 and Fable 5, redefining AI cost-effectiveness.
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·3 min
GLM 5.2 Hands-On: An Open-Source, Low-Cost Model That Rivals Opus
In-depth hands-on review of GLM 5.2: a 753B-parameter open-source model with a 1M-token context, rivaling Opus 4.8 at about one-tenth the price. Full setup guide for Claude Code and Cursor.
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