#test engineer AI
5278 related articles
Tutorials·4 min
MCP Beginner's Guide: Model Context Protocol Architecture and Three Core Primitives Explained
A deep dive into Anthropic's MCP (Model Context Protocol) covering client-server architecture and the three core primitives — Tools, Resources, and Prompts — to help developers quickly understand and integrate with the MCP ecosystem.
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Tutorials·4 min
MCP Beginner's Guide: Model Context Protocol Architecture and Three Core Primitives Explained
A deep dive into Anthropic's MCP (Model Context Protocol) covering client-server architecture, the three core primitives (Tools, Resources, Prompts), and how developers can quickly integrate with the MCP ecosystem.
Read more →
Tutorials·2 min
MCP Service Hybrid Deployment in Practice: Integrating Tools, Resources, and Prompts into a Single Service
Learn how to integrate Tools, Prompts, and Resources into a single MCP service. A practical guide to hybrid deployment that breaks the single-responsibility misconception for production environments.
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Tutorials·4 min
Zero-Code Project: Building a Tetris Game on a Microcontroller with Cursor + Claude
Detailed breakdown of using Cursor editor and Claude to implement a complete Tetris game on an STC8H microcontroller with OLED display — zero code written, from hardware setup to iterative optimization.
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Industry Insights·2 min
Bun Bids Farewell to Zig: AI Completes 960K-Line Rust Rewrite in 6 Days — Full Breakdown
Bun v1.3.14 may be the last Zig-era release. AI Agents completed a 960K-line Zig-to-Rust migration in 6 days with 99.8% test pass rate. Full analysis inside.
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Industry Insights·3 min
The Survival Crisis and Transformation Path for Traditional Programmers in the AI Coding Wave
Since 2025, AI-driven tech layoffs intensify with 75% of coding work coverable by AI. This article analyzes programmers' structural elimination crisis and the transformation path from code workers to AI architects.
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Tutorials·3 min
Hermes Agent WeChat Integration Guide: Deploy Your Personal WeChat AI Bot in Three Steps
Complete guide to Hermes Agent WeChat integration via iLink Bot API. Deploy a personal WeChat AI bot in 3 steps with zero server requirements, featuring 9 core capabilities and 10 troubleshooting tips.
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Expert Opinions·3 min
Is Learning to Code Still Worth It in the AI Era? An Honest Answer from an Atlassian Engineer
Can AI write code instantly—so is coding still worth learning? An Atlassian engineer breaks down the truth behind tech leaders' claims and AI coding limitations.
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Industry Insights·2 min
AI Writes Code 2x Faster, But Maintenance Costs Triple: A Guide to Breaking the Efficiency Paradox
AI coding tools double development speed but triple maintenance costs. This article analyzes quality issues, technical debt accumulation, and provides actionable strategies to balance efficiency with maintainability.
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Tutorials·3 min
AI Full-Loop Embedded Software Development: Zero-Code UART Communication in One Minute
A hands-on demo showing how an AI Agent completes UART serial communication development with zero code — from pin analysis and code generation to flashing and logic analyzer verification — all in under one minute.
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Deep Dives·3 min
Deep Dive into Pi's Swarm System: A Biology-Inspired Multi-Agent AI Programming Architecture
Deep dive into Pi's swarm system architecture (26K GitHub stars): scout, worker, and soldier ant roles, pheromone communication, adaptive concurrency control, and how multi-agent collaboration revolutionizes AI programming.
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Product Reviews·2 min
Alibaba Qoder 1.0 Hands-On Review: A Project-Level AI Programming Assistant Driven by Natural Language
Deep analysis of Alibaba Qoder 1.0's core capabilities: end-to-end development via natural language with task decomposition, file-by-file modification, and automated testing.
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Deep Dives·3 min
Deep Dive into How Claude Code Works: A New Programming Paradigm Driven by the Agent Loop
Deep dive into how Claude Code works, including the Agentic Loop, automatic context compaction, tool calling, and permission modes that power autonomous AI programming.
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Deep Dives·3 min
Deep Dive into Hermes Agent Self-Evolution: The GIPA Algorithm and Engineering Practice
Deep analysis of NousResearch's Hermes Agent Self Evolution project: GIPA genetic Pareto prompt evolution algorithm, six-step optimization loop, and five guardrail mechanisms for real-world Agent self-evolution.
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Product Reviews·3 min
Deep Dive into Coze Agent World: When AI Gets Identity and Social Freedom
Deep analysis of Coze's Agent World update, covering AI identity systems, Agent social networks, Skill markets, and the paradigm shift from tools to digital companions.
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Tutorials·2 min
Multi-Agent Collaborative Novel Writing: A Practical Tutorial from Template Setup to Continuous Creation
Learn how to build an AI novel writing team using Glutter's multi-Agent templates, with Editor-in-Chief, Author, and Proofreader roles collaborating to solve character consistency and plot coherence challenges in long-form fiction.
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Tutorials·3 min
Supabase Real-World Testing: How MCP+Skills Enable AI Agents to Safely Operate Databases
Supabase's experiments show how MCP+Skills solve security gaps when AI agents operate databases, with three key principles for writing effective Agent Skills.
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Product Reviews·4 min
Lark CLI: A Deep Dive into Feishu's Open-Source AI Agent Command-Line Tool
Lark CLI is Feishu's official open-source CLI tool designed for AI Agents, offering 200+ commands across 17 business domains with 24 structured Skills for messaging, docs, spreadsheets, calendars, and more.
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Tutorials·2 min
AI Agent + Vue 3 Full-Stack Development in Practice: Integrating the Coze Platform with Frontend Engineering
A deep dive into integrating AI agents with Vue 3 frontend development, covering Coze platform agent building, Vue3+TypeScript+Pinia stack practices, and AI content generation features.
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Expert Opinions·3 min
Burning Money on AI with Nothing to Show? Three Hidden Pitfalls a Developer Learned After Spending $140
A developer spent $140 in Tokens probing AI's limits and identified three hidden pitfalls: using cheap models, building spaghetti projects, and creating vanity products without demand validation.
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