#Python vs Java
305 related articles
·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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·4 min
AI Agents Automating JS Reverse Engineering: A Deep Dive into the New Paradigm for Web Scraping
AI agents are revolutionizing JS reverse engineering. This deep dive covers built-in tool chains, automation modes, prompt engineering for e-commerce, and full pipeline automation from parameter extraction to database storage.
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GitHub Daily · July 17: AI Coding Infr…
·3 min
GitHub Daily · July 17: AI Coding Infrastructure Explodes — From Context Graphs to Vector Indexes
AI coding infrastructure explodes on GitHub: context management, code graphs, and vector indexes become the new battleground as the community shifts from apps to underlying capabilities.
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·3 min
SQLite STRICT Tables Explained: The Type Enforcement Debate and Best Practices
Deep dive into SQLite STRICT tables: is flexible typing a feature or flaw? Covers the author's stance, type vs. validation debate, Turso alternatives, and best practices for type-safe database design.
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·2 min
ChatGPT Gets a Major Overhaul: Chat Demoted to a Pop-up, Codex Integration Sparks Backlash
OpenAI redesigns ChatGPT with a new "Work" experience and deep Codex integration — but demoting core chat to a floating pop-up has sparked fierce user backlash.
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·4 min
Running Qwen3.6 27B Locally on a Single RTX 3090: A Complete Guide to Cloud-Rivaling Performance
One used RTX 3090, one 16.8GB GGUF file, and Qwen3.6 27B runs locally offline. SWE-bench score of 77 rivals Claude Sonnet. MTP boosts speed to 59 tok/s. Full local AI coding assistant deployment guide.
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·4 min
LangChain in Practice: Mastering the Four Core Modules of the Agent Ecosystem
A deep dive into LangChain's four core modules: LangChain components, LangGraph orchestration, Deep Agents, and LangSmith. Build your first Agent from scratch.
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·4 min
From 50% to 92%: A Practical Methodology for Teaching AI Agents to Master Spreadsheets
An engineering team spent four months raising an AI coding agent's spreadsheet accuracy from 50% to 92%. Deep dive into REPL architecture, validation loops, and domain knowledge injection.
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Jacquard: A Programming Language Desig…
·2 min
Jacquard: A Programming Language Designed for AI to Write and Humans to Review
Jacquard is an experimental programming language built for the "AI writes, human reviews" paradigm, making reviewability a first-class design principle for the AI coding era.
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AI Can Write Ruby But Can't Navigate C…
·2 min
AI Can Write Ruby But Can't Navigate Codebases? A 5-Model, 13-Project Benchmark Reveals the Truth
A benchmark covering 5 major AI models and 13 real Ruby codebases reveals: AI excels at generating code but struggles to navigate existing codebases. A deep dive into findings, Ruby metaprogramming challenges, and practical implications for developers.
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·3 min
The Complete Guide to Agent Skills: Principles, Structure, and Real-World Examples
A deep dive into Agent Skills: SKILL.md structure, four core elements (workflow/docs/tools/assets), real-world case studies, and how Skills differ from prompts.
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·3 min
AI Agents Are Reshaping Software Testing: A Practical Guide from Cursor to LangChain
A deep dive into AI-powered testing: Cursor Skills, Coze agents, and LangChain multi-agent systems for automated test case generation, BDD, and review workflows.
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·3 min
Getting Started with Agent Skills: Structure, Principles, and Practical Usage
A deep dive into Agent Skills: learn the file structure (SKILL.md, references, scripts, assets), core principles, and how they differ from prompts. Build your own AI skill bundle from scratch.
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·3 min
Spring AI 2.0 Deep Dive: A Java Developer's Guide to LLM Application Development
A deep dive into Spring AI 2.0: provider-agnostic APIs, RAG with vector databases, and how Java developers can build LLM apps using the Spring ecosystem.
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·3 min
Will Vibe Coding Ruin Programmers? Coding Anxiety and How to Break Through in the AI Era
As Vibe Coding rises, many developers can't write code without AI. We break down the risks, whether traditional coding skills still matter, and how to rebuild them.
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·4 min
Getting Started with LangChain: LLM Limitations, Agent Principles, and Environment Setup in Practice
An in-depth look at LangChain's core value: the three limitations of LLMs, unified model interfaces, modular architecture, configuring the DeepSeek API, and understanding the SystemMessage/HumanMessage/AIMessage/ToolMessage system to build a foundation for Agent development.
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·3 min
The Cypress End-to-End Testing Framework: Core Advantages and Usage Guide
An in-depth look at the core advantages of the Cypress front-end automated testing framework: fast execution, a simple easy-to-use API, and stable reliable results. Covers architecture, Selenium comparison, and component testing.
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·7 min
Building a Published App with Zero Code in Four Days: A Complete HarmonyOS Development Journey
A tech blogger with zero programming knowledge built a retro DV app in four days using AI tools like Cursor and Codex, and got it published on Huawei App Gallery. A full vibe coding walkthrough.
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·3 min
Arcaide: Understanding Codebase Structure Through Multi-Level Call Graph Visualization
Arcaide is a code comprehension tool based on multi-level call graphs, helping developers explore function calling relationships from macro to micro, speed up onboarding, assess change impact, and identify technical debt.
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·3 min
ChatGPT Plus/Pro Plans: A Complete Comparison of Features and Payment Methods
A detailed breakdown of ChatGPT Plus ($20) vs Pro ($100/$200) plan features, comparing credit card, gift card, and Google Play top-up methods, plus an honest look at third-party top-up risks.
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