#Jenkins
102 related articles
·2 min
Android CLI: Command-Line-Driven Android Development with Doubled AI Efficiency
Android CLI, unveiled at Google I/O Connect, lets developers manage SDKs and query docs without launching Android Studio, while slashing AI Agent token usage.
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·2 min
A Deep Dive into Ansible: The Essential Guide to Agentless IT Automation
A comprehensive guide to Ansible, the open-source IT automation platform: core architecture, design philosophy, and use cases. Learn about agentless mode, YAML Playbook syntax, idempotency, and best practices for DevOps and Infrastructure as Code.
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·4 min
Superpowers: Enabling AI Agents to Truly Master Software Development Methodology
Superpowers is a trending GitHub project that builds an agentic skills framework with Shell scripts, injecting software engineering methodology into AI coding workflows. A deep dive into its architecture and value.
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·4 min
Notion Meets Cursor: A New Workflow for Dispatching Coding Tasks Directly from Docs
Cursor launches deep Notion integration via the Cursor SDK — @mention Cursor in any Notion doc to trigger a cloud Agent that automatically opens a PR. We break down the workflow, product logic, and real-world limitations.
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·6 min
Connecting SQL Projects to Azure DevOps Pipelines: A Hands-On Guide to Automated Builds and Secure Deployment
Learn how to connect SSMS SQL projects to an Azure DevOps CI/CD pipeline—covering YAML build config, SQL code quality analysis, managed identity authentication, and dynamic firewall rules for secure Azure SQL deployment.
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·2 min
Toto-2.0: Multivariate Time Series Forecasting Enters the Foundation Model Scaling Era
Toto-2.0 is a major breakthrough in time series forecasting, applying LLM scaling philosophy to achieve zero-shot multivariate prediction across domains via unified representations.
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·7 min
21-Day Python Automation Testing Crash Course: A Complete Breakdown of the Three-Stage Learning Path
Learn automation testing from scratch! This article breaks down a three-stage path: Selenium/Appium tools, Requests+PyTest API testing, performance testing and CI/CD, with real projects—build a complete skill set in 21 days.
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·4 min
Deep Dive into actions/checkout: The Core Foundation of GitHub Actions CI/CD
A comprehensive guide to GitHub Actions' actions/checkout: how it works, key parameters, and best practices covering fetch-depth, cross-repo checkout, security, and version pinning strategies.
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·6 min
Claude Code Chinese Guide: A Complete Path from Zero to an Efficient Workflow
A systematic Claude Code learning guide built for Chinese developers, covering ten core modules including Slash Commands, Memory, MCP, and Hooks, with a three-tier path to build an AI coding workflow in 11–13 hours.
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·4 min
pytest Testing Patterns in Practice: Building a Systematic Automated Testing Framework
A deep dive into pytest patterns: layered fixture management, parameterized coverage, mock isolation, coverage gates, and CI integration — upgrade your team from scattered scripts to a maintainable automated testing framework.
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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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Software Factories Will Reshape Progra…
·2 min
Software Factories Will Reshape Programming Paradigms — A Deep Analysis from Warp's CEO
Warp CEO Zach Lloyd introduces the "software factory" concept: AI agents will take over repetitive coding tasks, shifting engineers from code executors to system architects.
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·2 min
Getting Started with Claude Code: Reshaping Software Testing Workflows with AI Agents
Learn Claude Code from scratch: understand LLMs vs. AI agents, explore a 3-day onboarding path, and discover how testing engineers can use agents to automate test case and script generation.
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·4 min
Getting Started with Software Testing: A Complete Guide to Core Concepts and Classification Systems
A comprehensive guide to software testing fundamentals covering definitions, purposes, classification by phase, technique, and method, plus core concepts like smoke testing and regression testing.
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·2 min
What Is Meta-Harness? Unpacking the Battle of AI Evaluation Frameworks
Deep dive into Meta-Harness: why AI evaluation frameworks themselves need unified management. Analyzing fragmentation, reproducibility crises, and standardization needs in AI benchmarking.
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·3 min
6 AI Testing Skills Covering the Full Workflow, Boosting Efficiency Several Times Over
6 AI Skills for test engineers: test case generation, PRD-to-XMind, JMeter scripts, Playwright automation, performance reports, and requirement checklists—completing 2-3 days of work in half a day.
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·3 min
Claude Code Routines Explained: Automation in Practice with Proactive AI Coding Agents
Deep dive into Claude Code Routines: build proactive AI coding agents with time-scheduled and event-driven triggers. Covers automated docs, deploy verification, and on-call investigation.
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·3 min
Deep Dive into the 198-Page Codex Chinese Manual: A Complete Guide from Beginner to Advanced
Deep breakdown of ByteDance's internal 198-page Codex Chinese manual covering installation, Commands, MCP workflows, Skills templates, multi-Agent collaboration, and background task scheduling.
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·2 min
Career Switch to AI Software Testing from Scratch: A Complete 3-Month Learning Roadmap
A complete 3-month learning roadmap for switching to AI software testing from scratch, covering fundamentals, Python automation, AI-powered testing, and career guidance.
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·3 min
MCP vs Skills: Understanding the Key to AI Testing Efficiency
Understand the key differences between MCP (Model Context Protocol) and Skills through practical analogies and real testing scenarios to boost AI-driven test automation efficiency.
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