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Geek Labs
Geek Labs
Jun 4, 2026 · Artificial Intelligence

Three Popular Open‑Source AI Coding Projects: CodeWhale Agent, Free Claude Code Proxy, and Gemini‑Web2API

This article introduces three open‑source AI programming tools—CodeWhale, a Rust‑based terminal assistant with multi‑mode control and git snapshots; free‑claude‑code, a Python proxy that routes Claude Code requests through alternative models; and gemini‑web2api, a lightweight Python bridge that exposes Gemini Web as an OpenAI‑compatible API—detailing their features, installation steps, and usage considerations.

AI codingCodeWhalePython
0 likes · 8 min read
Three Popular Open‑Source AI Coding Projects: CodeWhale Agent, Free Claude Code Proxy, and Gemini‑Web2API
Advanced AI Application Practice
Advanced AI Application Practice
Jun 4, 2026 · Operations

Boost Test Report Writing Efficiency by 90% with the test-report-writer Skill

The article describes how the test-report-writer skill automates the collection, analysis, and formatting of test case and bug data into a structured, eight‑section report in just five minutes, cutting manual effort from over an hour to a few minutes while ensuring consistent metrics, risk assessment, and release recommendations.

AIPythonWorkBuddy
0 likes · 11 min read
Boost Test Report Writing Efficiency by 90% with the test-report-writer Skill
Test Development Learning Exchange
Test Development Learning Exchange
Jun 3, 2026 · Backend Development

How to Prevent Dirty Data in API Tests with Effective Cleanup Strategies

The article explains why dirty data appears in API automation tests, outlines five practical cleanup strategies—including teardown, setup, transaction rollback, unique ID isolation, and data‑factory soft deletes—and provides a complete Pytest‑based Python implementation with code examples and special‑case handling to keep test environments clean and reliable.

API-testingPythonautomation
0 likes · 16 min read
How to Prevent Dirty Data in API Tests with Effective Cleanup Strategies
Lisa Notes
Lisa Notes
Jun 3, 2026 · Artificial Intelligence

Fundamentals of NLP: Core Tasks, Tool Setup, and Hands‑On Projects

This article introduces the basics of Natural Language Processing, covering core tasks such as language understanding and generation, common applications, essential linguistic analyses, environment setup with Python libraries, hands‑on code examples for preprocessing, POS tagging, NER, sentiment analysis using both classical and transformer models, text generation with GPT‑2, and discusses challenges and Rust‑centric integration strategies.

NLPNatural Language ProcessingPython
0 likes · 13 min read
Fundamentals of NLP: Core Tasks, Tool Setup, and Hands‑On Projects
Java Backend Technology
Java Backend Technology
Jun 3, 2026 · Artificial Intelligence

Why MarkItDown’s 104K Stars Keep It at the Top of GitHub Trending

MarkItDown, a Microsoft‑maintained Python tool that converts PDFs, Word, PPT, audio and video into structured Markdown, has surged past 104 000 stars and repeatedly topped GitHub’s weekly trending list by addressing RAG‑related document‑conversion pain points, offering a universal MCP interface for AI agents, and enjoying strong community adoption.

AI AgentMCPMarkdown
0 likes · 10 min read
Why MarkItDown’s 104K Stars Keep It at the Top of GitHub Trending
Linyb Geek Road
Linyb Geek Road
Jun 3, 2026 · Artificial Intelligence

Practical Harness Engineering: The Most Effective Way to Understand Harnesses

The article presents a hands‑on exploration of Harness Engineering for AI agents, detailing a four‑layer Python harness built with DeepSeek API, step‑by‑step safety experiments, and iterative improvements that demonstrate how precise constraints make powerful agents reliably controllable.

AI AgentsDeepSeek APIHarness Engineering
0 likes · 8 min read
Practical Harness Engineering: The Most Effective Way to Understand Harnesses
Data STUDIO
Data STUDIO
Jun 2, 2026 · Fundamentals

Python 3.15 Arrives: Boost Speed Without Changing a Single Line

Python 3.15 brings lazy imports, a built‑in frozendict type, unpacking in comprehensions, JIT improvements, the Tachyon sampling profiler, default UTF‑8 encoding, GC rollback and .start files, delivering up to 12‑13% faster execution on ARM Macs and offering a step‑by‑step migration guide for data engineers.

GCJITPython
0 likes · 18 min read
Python 3.15 Arrives: Boost Speed Without Changing a Single Line
Data STUDIO
Data STUDIO
Jun 1, 2026 · Artificial Intelligence

Build a CLI AI Agent in Just 250 Python Lines

This tutorial walks through seven incremental stages—starting with a simple while‑True loop and adding tool‑calling, dynamic skill loading, slash commands, JSON persistence, automatic context compression, and a background timed loop—to create a fully functional CLI AI Agent using Ollama and the local qwen3.5 model without GPU or API keys.

AI AgentCLIOllama
0 likes · 15 min read
Build a CLI AI Agent in Just 250 Python Lines
IoT Full-Stack Technology
IoT Full-Stack Technology
Jun 1, 2026 · Artificial Intelligence

How Front‑End Developers Can Transition to AI Agent Engineering by 2026: A Complete Guide

This article analyses why front‑end engineers face shrinking opportunities by 2026, explains the rise of AI Agent technology, compares the required skill sets, outlines realistic salary expectations, and provides a step‑by‑step roadmap for a successful career shift into AI Agent development.

AI AgentCareer TransitionLLM
0 likes · 20 min read
How Front‑End Developers Can Transition to AI Agent Engineering by 2026: A Complete Guide
Liangxu Linux
Liangxu Linux
May 31, 2026 · Fundamentals

Why Modern Languages Drop the Classic C‑Style for Loop

The article examines the hidden pitfalls of C‑style for loops, explains how languages like Python, Rust, Swift and Go replace them with safer, more readable constructs, and discusses when the traditional C for loop remains advantageous for low‑level or performance‑critical code.

C languageCode safetyGo
0 likes · 7 min read
Why Modern Languages Drop the Classic C‑Style for Loop
AI Architecture Path
AI Architecture Path
May 31, 2026 · Artificial Intelligence

Zero‑Barrier AI Short‑Video Generator: From Theme to Daily Posts with MoneyPrinterTurbo (70K+ Stars)

Creating short‑form videos is notoriously time‑consuming, but the open‑source MoneyPrinterTurbo tool automates the entire pipeline—from theme input to script,素材, voice‑over, subtitles and rendering—using Claude models, runs on low‑end hardware, and offers both Python and Docker deployment options with detailed troubleshooting and quality‑boosting tips.

AI video generationClaudeDocker
0 likes · 13 min read
Zero‑Barrier AI Short‑Video Generator: From Theme to Daily Posts with MoneyPrinterTurbo (70K+ Stars)
IT Services Circle
IT Services Circle
May 30, 2026 · Industry Insights

Why AI Coding CLIs Are Switching to TypeScript: The kimi-cli Refactor Story

The article examines the rapid shift of AI coding command‑line tools from Python to TypeScript, using the kimi-cli rewrite as a case study, and explains how Bun’s native binary support, distribution challenges of Python, and industry momentum make TypeScript the dominant choice for end‑user CLI tools.

AI CLIBunCLI distribution
0 likes · 7 min read
Why AI Coding CLIs Are Switching to TypeScript: The kimi-cli Refactor Story
Geek Labs
Geek Labs
May 30, 2026 · Industry Insights

Weekly GitHub Picks: WeChat Bill Viewer, Kimi Code Assistant, Pianke, PoC-Lab

Each week we spotlight four trending GitHub repos—a desktop Electron tool that visualizes WeChat payment CSVs, the Kimi AI‑powered code assistant that understands whole‑project context, the lightweight Python‑based Pianke for local markdown note‑taking, and the PoC‑Lab collection of multi‑platform vulnerability exploitation scripts.

AIElectronGitHub
0 likes · 8 min read
Weekly GitHub Picks: WeChat Bill Viewer, Kimi Code Assistant, Pianke, PoC-Lab
AI Agent Super App
AI Agent Super App
May 29, 2026 · Databases

Why SQLite Is the World's Most Deployed Database—and How to Use It End‑to‑End

SQLite, the server‑less, single‑file database engine, is the most widely deployed database on the planet, powering Android, iOS, browsers and countless desktop apps; this article walks through its core features, Linux installation, command‑line CRUD, language bindings for Python, C, Java and Go, plus practical backup and performance tricks.

C++CLIGo
0 likes · 21 min read
Why SQLite Is the World's Most Deployed Database—and How to Use It End‑to‑End
DeepHub IMBA
DeepHub IMBA
May 28, 2026 · Artificial Intelligence

AutoGen Multi‑Agent Demo: Coder, Reviewer, and Executor Automatically Complete a Code Review

The article explains how Microsoft’s AutoGen framework enables a Planner‑Executor‑Critic loop and a three‑agent GroupChat workflow, providing step‑by‑step Python code that configures AssistantAgent, UserProxyAgent, and ReviewerAgent to generate, review, and execute code automatically, and discusses the system’s advantages, scalability, and real‑world deployments.

AutoGenGroupChatLLM
0 likes · 13 min read
AutoGen Multi‑Agent Demo: Coder, Reviewer, and Executor Automatically Complete a Code Review
Geek Labs
Geek Labs
May 28, 2026 · Artificial Intelligence

What Your AI Coding Agent Is Doing Behind the Scenes: 4 Visual Tools to See Its Status Instantly

The article reviews four open‑source projects—Clawd on Desk, Codex on Desk, Star Office UI, and Clawmetry—that visualize the real‑time status of AI coding agents, comparing their features, supported agents, technology stacks, visual styles, and use cases to help developers choose the most suitable tool.

AI AgentsDesktop PetElectron
0 likes · 7 min read
What Your AI Coding Agent Is Doing Behind the Scenes: 4 Visual Tools to See Its Status Instantly
AI Engineering
AI Engineering
May 28, 2026 · Artificial Intelligence

Webwright Lets Browser Agents Move Beyond Guessing the Next Click

Microsoft's newly open‑sourced Webwright framework replaces the traditional step‑by‑step LLM decision loop with code‑generated Playwright scripts, stores all state locally, achieves SOTA benchmark results on Online‑Mind2Web and Odysseys, integrates with major agent ecosystems, and offers auditability and reusable automation.

LLM AutomationMicrosoftPlaywright
0 likes · 9 min read
Webwright Lets Browser Agents Move Beyond Guessing the Next Click
DeepHub IMBA
DeepHub IMBA
May 27, 2026 · Artificial Intelligence

Testing Four Non‑Vector RAG Approaches: BM25, GraphRAG, Tree Search, and Agentic Search

The article evaluates four non‑vector Retrieval‑Augmented Generation methods—BM25 lexical search, GraphRAG graph traversal, Tree‑Search document navigation, and an Agentic search loop—using a small JSON‑based corpus, showing each method’s strengths, weaknesses, and when to combine them for production‑grade retrieval.

Agentic SearchBM25GraphRAG
0 likes · 12 min read
Testing Four Non‑Vector RAG Approaches: BM25, GraphRAG, Tree Search, and Agentic Search
AI Architect Hub
AI Architect Hub
May 27, 2026 · R&D Management

Hermes Kanban Deep Dive with a Real-World Public Account Matrix Management System

This article explains Hermes Kanban's multi‑agent orchestration features, core concepts, and a step‑by‑step case study that builds a public‑account matrix management system, demonstrating task decomposition, parallel execution, dependency handling, human intervention, and best‑practice guidelines.

Backend DevelopmentHermes KanbanMulti-agent
0 likes · 15 min read
Hermes Kanban Deep Dive with a Real-World Public Account Matrix Management System
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
May 27, 2026 · Artificial Intelligence

Building a Multimodal Search with Alibaba Cloud Elasticsearch and Qwen‑VL

This article demonstrates how to integrate Alibaba Cloud Elasticsearch with the Qwen‑VL large model and DashScope Embedding API to extract image features and perform multimodal vector search, covering text‑to‑image, text‑to‑text, image‑to‑image, and image‑to‑text queries, with step‑by‑step code, environment setup, data loading, indexing, and a Streamlit demo.

AI EmbeddingDashScopeElasticsearch
0 likes · 8 min read
Building a Multimodal Search with Alibaba Cloud Elasticsearch and Qwen‑VL
Big Data Technology Tribe
Big Data Technology Tribe
May 27, 2026 · Fundamentals

Understanding the Internals of Lance’s describe_indices() Method

The article walks through Lance’s describe_indices() workflow—from reading the manifest and caching index metadata, through optional filtering and grouping by logical index name, to building human‑readable index descriptions and highlighting differences from load_indices and index_statistics, while noting edge cases and limitations.

LancePythonRust
0 likes · 13 min read
Understanding the Internals of Lance’s describe_indices() Method
Architect's Ambition
Architect's Ambition
May 26, 2026 · Artificial Intelligence

Choosing CLI vs MCP for Enterprise AI Agents: A Hybrid Approach Balancing Cost and Effectiveness

The article compares CLI and MCP as integration methods for enterprise AI agents, presents benchmark data showing CLI's lower cost and higher reliability, explains why MCP is needed for compliance and structured data, and recommends a "CLI‑first, MCP‑supplement" architecture with reusable Python or Java implementations across multiple AI tools.

AI AgentCLIJava
0 likes · 24 min read
Choosing CLI vs MCP for Enterprise AI Agents: A Hybrid Approach Balancing Cost and Effectiveness
Ubuntu
Ubuntu
May 26, 2026 · Fundamentals

Choosing the Right Python Environment on WSL: venv vs conda vs uv

This guide compares Python virtual‑environment tools—pip + venv, Miniconda, and the new uv—detailing installation steps, performance differences, use‑case recommendations, and practical commands for setting up a consistent development environment on Ubuntu WSL.

PythonVS CodeWSL
0 likes · 12 min read
Choosing the Right Python Environment on WSL: venv vs conda vs uv
Su San Talks Tech
Su San Talks Tech
May 25, 2026 · Artificial Intelligence

Mastering RAG: Chunking, Embeddings, BM25 & Multi‑Index Retrieval in Python

This tutorial explains Retrieval‑Augmented Generation (RAG) from fundamentals to a full pipeline, covering text chunking strategies, VoyageAI embeddings, vector‑store implementation, BM25 lexical search, and a multi‑index retriever that fuses semantic and lexical results with Reciprocal Rank Fusion.

BM25ChunkingPython
0 likes · 48 min read
Mastering RAG: Chunking, Embeddings, BM25 & Multi‑Index Retrieval in Python
IT Services Circle
IT Services Circle
May 24, 2026 · Fundamentals

Common Python Operator Mistakes and How to Use Them Correctly

The article explains why beginners often misuse ^, &, and | in Python—mistaking them for exponentiation or logical operators—and clarifies the proper use of bitwise operators, the ** exponent operator, and the logical and/or keywords with concrete code examples.

Pythonbitwiseexponentiation
0 likes · 4 min read
Common Python Operator Mistakes and How to Use Them Correctly
Data Party THU
Data Party THU
May 24, 2026 · Artificial Intelligence

How Graphify Builds Codebase Knowledge Graphs and Replaces Vector Search with Graph Traversal

Graphify is a Python tool and Claude Code skill that creates a persistent, queryable knowledge graph of code, documentation, and media, cutting token usage by up to 71.5× compared with raw file reads, and it does so through a three‑pass pipeline that combines deterministic AST extraction, optional local audio transcription, and AI‑driven semantic extraction.

Claude CodeGraphifyKnowledge Graph
0 likes · 13 min read
How Graphify Builds Codebase Knowledge Graphs and Replaces Vector Search with Graph Traversal
SuanNi
SuanNi
May 23, 2026 · Artificial Intelligence

Deploy the Open-Source ChatLaw Legal LLM on the SuanWang Platform

This article introduces ChatLaw, an open‑source legal large language model trained on 936,727 real cases, explains its high‑dimensional embedding ChatLaw‑Text2Vec for fast knowledge alignment, and provides a step‑by‑step guide to deploy it on the SuanWang cloud platform using Python and MLU resources.

ChatLawEmbeddingLLM
0 likes · 3 min read
Deploy the Open-Source ChatLaw Legal LLM on the SuanWang Platform
DeepHub IMBA
DeepHub IMBA
May 23, 2026 · Artificial Intelligence

Reason → Act → Observe: Building an Agentic Loop with LangChain and Python

This article explains what an agentic loop is, contrasts it with single‑pass chatbots, outlines its five stages, shows a visual architecture, walks through a concrete multi‑step example, provides Python pseudocode and a LangChain implementation, and discusses when to use or avoid such loops.

AI AgentsLLMLangChain
0 likes · 8 min read
Reason → Act → Observe: Building an Agentic Loop with LangChain and Python
Shuge Unlimited
Shuge Unlimited
May 23, 2026 · Artificial Intelligence

Why Hermes Agent Manages 40+ Built‑in Tools Without a Config File

The article dissects Hermes Agent’s tool system, explaining its four‑layer architecture, singleton registry, import‑based auto‑registration, AST discovery, argument coercion, async bridging, error handling, schema design, toolset composition, and best‑practice recommendations, all backed by concrete code examples and design rationale.

AI AgentsFunction CallingHermes Agent
0 likes · 21 min read
Why Hermes Agent Manages 40+ Built‑in Tools Without a Config File
DeepHub IMBA
DeepHub IMBA
May 22, 2026 · Fundamentals

Inside Python’s Automatic Memory Management: Core Mechanisms and Optimization Guide

The article breaks down Python’s memory system layer by layer, explaining stack vs. heap, reference counting, generational garbage collection, the true effect of the del statement, built‑in optimizations like integer caching, string interning and __slots__, and shows how to process a 20 GB CSV efficiently with generators.

OptimizationPythonReference Counting
0 likes · 12 min read
Inside Python’s Automatic Memory Management: Core Mechanisms and Optimization Guide
Java Tech Enthusiast
Java Tech Enthusiast
May 21, 2026 · Industry Insights

May 2026 TIOBE Rankings Reveal a Major Shift in Statistical Programming Languages

The May 2026 TIOBE index shows R rebounding to #8, Python and R dominating the statistical programming market, older tools like MATLAB and SAS slipping, Julia still outside the top 30, while emerging languages such as Stan and Zig climb, highlighting a profound consolidation driven by ecosystem strength and AI compatibility.

Language PopularityPythonR
0 likes · 7 min read
May 2026 TIOBE Rankings Reveal a Major Shift in Statistical Programming Languages
Data STUDIO
Data STUDIO
May 21, 2026 · Operations

How I Migrated 5 Python Projects to UV in One Hour and Cut CI Time by 5×

The article explains why pip is fundamentally slower, describes UV's Rust‑based architecture—including PubGrub conflict‑driven learning, hard‑link global caching, and async parallel I/O—shows benchmark numbers, provides step‑by‑step migration commands, discusses cross‑platform lockfiles, and highlights OpenAI's acquisition as a signal of AI‑driven tooling importance.

Pythonci optimizationdependency resolution
0 likes · 17 min read
How I Migrated 5 Python Projects to UV in One Hour and Cut CI Time by 5×
Su San Talks Tech
Su San Talks Tech
May 20, 2026 · Artificial Intelligence

Why Convert Docs to Markdown for LLMs? Meet the Open‑Source MarkItDown Tool

The article explains that LLMs process Markdown more effectively than raw PDFs, introduces Microsoft’s open‑source MarkItDown utility that converts a wide range of file types—including PDFs, Word, Excel, HTML, images with OCR, and YouTube videos—into clean Markdown, and provides installation, usage examples, recent feature updates, and a brief critique of its scope.

Azure Document IntelligenceCLILLM preprocessing
0 likes · 6 min read
Why Convert Docs to Markdown for LLMs? Meet the Open‑Source MarkItDown Tool
AI Architecture Hub
AI Architecture Hub
May 19, 2026 · Artificial Intelligence

Agent Memory: From Theory to Practical Implementation

The article explains how AI agents can acquire long‑term memory by combining three functions—coherence, context, and learning—with four memory types, describes the full retrieval‑store loop, and provides a step‑by‑step Python implementation using OpenAI embeddings, ChromaDB, and forgetting strategies.

AI AgentsChromaDBMemory Systems
0 likes · 17 min read
Agent Memory: From Theory to Practical Implementation
AI Architecture Hub
AI Architecture Hub
May 18, 2026 · Artificial Intelligence

Agent Hooks: A Deterministic Approach to Making AI Agent Workflows Controllable

The article explains how agent hooks add programmable, deterministic control to AI agent workflows by binding custom handlers to specific lifecycle events, demonstrates six core hooks with concrete Python examples, and shows how this separation of policy from model memory reduces errors, speeds feedback, and improves auditability.

AI AgentsHooksPython
0 likes · 18 min read
Agent Hooks: A Deterministic Approach to Making AI Agent Workflows Controllable
liandk
liandk
May 17, 2026 · Fundamentals

Advanced Python Regex & Error Debugging: Extract Complex Data in 5 Minutes

This article extends basic regex knowledge with three advanced techniques, demonstrates how to troubleshoot module‑mirror, URL‑format, and content‑limit errors across nine sample documents, and provides ready‑to‑copy Python code for precise data extraction while avoiding common pitfalls.

PythonURL validationWeb Scraping
0 likes · 14 min read
Advanced Python Regex & Error Debugging: Extract Complex Data in 5 Minutes
IT Services Circle
IT Services Circle
May 15, 2026 · Artificial Intelligence

Why Your Validation Set Fails: Outliers Are Skewing Your Data

The article explains how outliers can dramatically distort training and validation results in machine learning, outlines practical detection methods such as business rules, Z‑Score, IQR and Isolation Forest, and demonstrates cleaning techniques with a complete house‑price prediction case study in Python.

Isolation ForestPythondata cleaning
0 likes · 19 min read
Why Your Validation Set Fails: Outliers Are Skewing Your Data
IT Services Circle
IT Services Circle
May 14, 2026 · Industry Insights

May 2026 TIOBE Ranking: Statistical Languages Face Major Consolidation

The May 2026 TIOBE index shows Python and R emerging as the dominant forces in statistical programming, while legacy tools like MATLAB, SAS, and SPSS tumble, new entrants such as Stan and Zig gain traction, and the overall market undergoes a pronounced consolidation toward a few ecosystems.

JuliaPythonR
0 likes · 7 min read
May 2026 TIOBE Ranking: Statistical Languages Face Major Consolidation
DeepHub IMBA
DeepHub IMBA
May 13, 2026 · Artificial Intelligence

5 Python Decorators to Stabilize Your Machine Learning Pipeline

The article presents five practical Python decorators—Concurrency Limiter, Structured Logger, Feature Injector, Deterministic Seed Setter, and Dev‑Mode Fallback—explaining their implementation, why they matter for AI workloads, and how they keep ML pipelines maintainable, reproducible, and resilient under load.

AI PipelineDecoratorPython
0 likes · 9 min read
5 Python Decorators to Stabilize Your Machine Learning Pipeline
Tech Ocean
Tech Ocean
May 13, 2026 · Backend Development

Step‑by‑Step Guide to Building a Production‑Ready MCP Server

This article walks through turning a local MCP demo into a production‑grade server, covering project layout, uv + FastMCP setup, authentication options, error‑code handling, structured logging, Docker containerization with health checks and load balancing, and comprehensive testing using Inspector and pytest.

DockerFastMCPMCP
0 likes · 12 min read
Step‑by‑Step Guide to Building a Production‑Ready MCP Server
liandk
liandk
May 13, 2026 · Backend Development

Python Web Scraping Basics: Extract Strings and Intro to Regex in 5 Minutes

This tutorial walks through fixing common requests‑module errors, selecting a reliable PyPI mirror, formatting URLs correctly, and using built‑in string methods and basic regex to reliably extract IP, keyword and request URL data from HTTP responses, with batch examples and a summary of four common pitfalls.

PythonString ExtractionWeb Scraping
0 likes · 12 min read
Python Web Scraping Basics: Extract Strings and Intro to Regex in 5 Minutes
liandk
liandk
May 13, 2026 · Backend Development

Advanced Requests and Simple Web Scraping in Python: Extract Data in 5 Minutes

This tutorial walks you through installing the requests library from reliable mirrors, setting browser-like headers, extracting JSON or raw text data, handling common errors, and performing batch requests to build a quick, functional web scraper in just five minutes.

HTTP headersPythonWeb Scraping
0 likes · 11 min read
Advanced Requests and Simple Web Scraping in Python: Extract Data in 5 Minutes
liandk
liandk
May 13, 2026 · Fundamentals

Python Basics – Part 8: Master requests in 5 Minutes to Start Web Scraping

This tutorial walks you through installing the Python requests library, demonstrates basic GET requests, adding query parameters, handling errors with timeout and exceptions, and highlights four common pitfalls with solutions, enabling you to quickly build simple web‑scraping scripts in just five minutes.

HTTPPythonWeb Scraping
0 likes · 8 min read
Python Basics – Part 8: Master requests in 5 Minutes to Start Web Scraping
Code of Duty
Code of Duty
May 12, 2026 · Fundamentals

Speed Up Conda and pip in China: 2026 Guide to Configuring Domestic Mirrors

This guide explains why the default Conda and pip sources are slow in China, shows how to check current settings, switch to Tsinghua mirrors for both Conda and pip, verify the configuration, and provides additional tips such as using mamba, creating isolated environments, and avoiding common AI‑project pitfalls.

AIMambaPython
0 likes · 7 min read
Speed Up Conda and pip in China: 2026 Guide to Configuring Domestic Mirrors
21CTO
21CTO
May 12, 2026 · Fundamentals

Python 3.15 First Beta Released – No New Features After This Point

The Python team has launched the first beta of Python 3.15, introducing a stable free‑threaded ABI, lazy import syntax, the zero‑overhead Tachyon profiler, default UTF‑8 encoding and a faster JIT, while announcing that no further features will be added before the final 2026‑10‑01 release.

Beta ReleaseJITProfiling
0 likes · 5 min read
Python 3.15 First Beta Released – No New Features After This Point
Tech Ocean
Tech Ocean
May 12, 2026 · Artificial Intelligence

Master MCP in 5 Minutes: The USB‑C‑Like Connector for AI Tools

The article introduces the Model Context Protocol (MCP), an open standard that unifies AI‑to‑external‑system communication like a USB‑C connector, explains its core concepts and roles, walks through building a Python weather server with FastMCP, and outlines the growing ecosystem of MCP servers and apps.

AI tool integrationClaude DesktopFastMCP
0 likes · 7 min read
Master MCP in 5 Minutes: The USB‑C‑Like Connector for AI Tools
liandk
liandk
May 12, 2026 · Fundamentals

Python from Zero to One – Part 7: Master math, random, and datetime in 5 Minutes

This tutorial reviews three import patterns, demonstrates essential functions of the math, random, and datetime built‑in modules with concrete code examples, combines them in a practical exercise, highlights four common beginner pitfalls with fixes, and provides short post‑lesson tasks.

MathPythonTutorial
0 likes · 8 min read
Python from Zero to One – Part 7: Master math, random, and datetime in 5 Minutes
AI Agent Super App
AI Agent Super App
May 12, 2026 · Operations

Run Linux on Your Phone with Termux: Turn Any Android Device into a Pocket Server

This guide shows how to install Termux from the official GitHub releases, update its package sources, add essential development tools, access Android storage, run Python scripts, connect to remote servers via SSH, and extend functionality with tmux, proot‑distro and other utilities, turning a phone into a fully functional Linux environment.

AndroidLinuxPython
0 likes · 11 min read
Run Linux on Your Phone with Termux: Turn Any Android Device into a Pocket Server
21CTO
21CTO
May 11, 2026 · Artificial Intelligence

Mojo 1.0 Beta: A New Era of Python‑C++ Performance

Mojo 1.0 beta combines familiar Python syntax with C/Rust‑level speed, introduces API‑stabilizing language changes, expands cross‑vendor GPU support, and delivers measurable AI/ML performance gains, while offering a decision framework that weighs its early‑stage ecosystem against production needs.

AIC++Mojo
0 likes · 10 min read
Mojo 1.0 Beta: A New Era of Python‑C++ Performance
Tencent Architect
Tencent Architect
May 11, 2026 · Backend Development

How Adding Two Brackets Made a Django API 8× Faster: A Real‑World Performance Debugging Tale

When a high‑traffic Django endpoint that returned a 7 MB JSON payload slowed dramatically, the author traced the bottleneck to a misuse of StreamingHttpResponse that iterated over the response string character‑by‑character, and fixing it with a simple list wrapper or HttpResponse yielded up to an eight‑fold speedup.

DjangoJSONORM
0 likes · 17 min read
How Adding Two Brackets Made a Django API 8× Faster: A Real‑World Performance Debugging Tale
liandk
liandk
May 11, 2026 · Fundamentals

Python Modules & Imports: Master Third‑Party Packages in 5 Minutes

This guide teaches you what Python modules are, demonstrates three import styles, shows how to install third‑party packages using reliable mirrors, and walks through practical examples—including random score generation and common pitfalls—to help you quickly leverage modules for automation and web scraping.

Mirror repositoriesModulesPython
0 likes · 6 min read
Python Modules & Imports: Master Third‑Party Packages in 5 Minutes
liandk
liandk
May 11, 2026 · Fundamentals

Python Functions in 5 Minutes: Define, Call, and Reuse Code Efficiently

This tutorial teaches beginners how to define and invoke Python functions, handle parameters and return values, use default arguments, avoid common pitfalls, and apply functions to lists and dictionaries for effective code reuse, all within a short hands‑on session.

FunctionsParametersPython
0 likes · 6 min read
Python Functions in 5 Minutes: Define, Call, and Reuse Code Efficiently
liandk
liandk
May 11, 2026 · Fundamentals

Python Lists & Dictionaries: Master Key Data Structures in 5 Minutes

This tutorial walks you through the essential operations of Python lists and dictionaries, demonstrates combined usage, highlights four common pitfalls with fixes, and provides quick hands‑on exercises so you can store and manipulate data efficiently in just five minutes.

Data StructuresListPython
0 likes · 7 min read
Python Lists & Dictionaries: Master Key Data Structures in 5 Minutes
liandk
liandk
May 11, 2026 · Fundamentals

Master Python Variables and 4 Core Data Types in 5 Minutes

This short tutorial teaches how to define variables and use Python’s four fundamental data types—strings, integers, floats, and booleans—through concise code examples, common pitfalls, and practice exercises, enabling beginners to store and manipulate data within five minutes.

Data TypesPythonbooleans
0 likes · 5 min read
Master Python Variables and 4 Core Data Types in 5 Minutes
inShocking
inShocking
May 10, 2026 · Artificial Intelligence

Inshocking Picks #1: 5 AI Agent Projects to Watch – Orchestration, Context Optimization, Multi‑Platform Assistants

This article reviews five standout GitHub‑trending AI Agent and developer‑tool projects—ruflo, AstrBot, context‑mode, AionUi, and TradingAgents—detailing the problems each solves, why they attracted rapid star growth, and which engineers would benefit from adopting them.

AI AgentCLI toolsGitHub Trending
0 likes · 10 min read
Inshocking Picks #1: 5 AI Agent Projects to Watch – Orchestration, Context Optimization, Multi‑Platform Assistants
IT Services Circle
IT Services Circle
May 10, 2026 · Fundamentals

Why Does Python Use a Leading Underscore for Some Variables?

The article explains that a leading underscore in Python names signals a non‑public or internal use convention defined by PEP 8, describes its practical effects on imports and IDE hints, and outlines other underscore naming patterns such as name mangling, trailing underscores, magic methods, and throwaway variables.

PEP 8Pythonname mangling
0 likes · 6 min read
Why Does Python Use a Leading Underscore for Some Variables?
liandk
liandk
May 10, 2026 · Fundamentals

Python Basics in 3 Minutes: What It Can Do and How to Get Started

This guide explains Python's main uses—automation, web scraping, and simple web apps—walks through Windows/macOS installation, shows how to run the first program, lists four common beginner pitfalls with solutions, and summarizes key takeaways for rapid onboarding.

First programInstallationPython
0 likes · 4 min read
Python Basics in 3 Minutes: What It Can Do and How to Get Started
Geek Labs
Geek Labs
May 9, 2026 · Backend Development

How to Run Claude Code Locally for Free with the Open‑Source Free Claude Code Proxy

This guide introduces the open‑source Free Claude Code project, explains its FastAPI‑based proxy architecture that routes Claude Code requests to various backends such as NVIDIA NIM, OpenRouter, DeepSeek, LM Studio, llama.cpp, and Ollama, and provides step‑by‑step instructions for installation, configuration, and deployment on local machines.

AI assistantClaude CodeFastAPI
0 likes · 6 min read
How to Run Claude Code Locally for Free with the Open‑Source Free Claude Code Proxy
DeepHub IMBA
DeepHub IMBA
May 8, 2026 · Artificial Intelligence

Building a Custom 8×8 GridWorld with Q‑Learning in Gymnasium

This tutorial walks through creating a custom 8×8 GridWorld environment in Gymnasium, implementing a Q‑Learning agent that learns to navigate from the top‑left corner to the bottom‑right goal while avoiding walls, and visualizing training curves, learned policies, and a performance comparison with a random agent.

GridWorldGymnasiumPython
0 likes · 10 min read
Building a Custom 8×8 GridWorld with Q‑Learning in Gymnasium
Data Party THU
Data Party THU
May 8, 2026 · Backend Development

Stop Using print for Logs: In‑Depth Comparison of Python’s Three Major Logging Solutions

After a chaotic production incident, this article compares Python’s built‑in logging, Loguru, and Logfire, detailing their configurations, strengths, weaknesses, and real‑world use cases—from simple scripts to high‑throughput APIs—while offering migration steps and common pitfalls to help you choose the right solution.

Backend DevelopmentLogfireLoguru
0 likes · 17 min read
Stop Using print for Logs: In‑Depth Comparison of Python’s Three Major Logging Solutions
Data Party THU
Data Party THU
May 7, 2026 · Artificial Intelligence

Step‑by‑Step Guide to Building a Multi‑Agent Trading System for End‑to‑End Intelligent Decisions

This article walks through constructing a multi‑agent trading platform—analysts, researchers, traders, risk managers, and a portfolio manager—using LangChain, LangGraph, and LLMs (gpt‑4o, gpt‑4o‑mini), with real‑time data tools, shared and long‑term memory, ReAct loops, structured debates, and a final executable trade proposal.

ChromaDBLLMLangChain
0 likes · 46 min read
Step‑by‑Step Guide to Building a Multi‑Agent Trading System for End‑to‑End Intelligent Decisions
Tech Ocean
Tech Ocean
May 7, 2026 · Artificial Intelligence

Replace ConversationSummaryBufferMemory with Six Lines of Code in LangChain 1.x

The article explains why the old LangChain memory classes are deprecated, breaks down the new 1.x memory architecture into three independent components, and shows how to replace ConversationSummaryBufferMemory with a concise six‑line agent setup that supports multi‑user isolation, persistence, and summarization middleware.

AgentLangChainLangGraph
0 likes · 12 min read
Replace ConversationSummaryBufferMemory with Six Lines of Code in LangChain 1.x
Data Party THU
Data Party THU
May 6, 2026 · Backend Development

How a Python Generic Repository Cuts 80% of Duplicate CRUD Code

The article demonstrates building a type‑safe, reusable generic repository with Python generics and SQLAlchemy, showing how to replace repetitive CRUD implementations across multiple FastAPI entities, reduce code size from hundreds of lines to a few dozen, and avoid common pitfalls such as missing rollbacks.

FastAPIPythonRepository
0 likes · 14 min read
How a Python Generic Repository Cuts 80% of Duplicate CRUD Code
IT Services Circle
IT Services Circle
May 6, 2026 · Artificial Intelligence

How to Cut Large‑Model Token Usage by Over 90%

The article analyses why AI Skills waste massive token counts, demonstrates a pure‑Skill implementation that costs $10 and 12 minutes, then shows a code‑plus‑model hybrid that reduces runtime to 17 seconds, API calls to one, and cost to $0.004, saving more than 99% of tokens.

ClaudeOpenRouterPlaywright
0 likes · 19 min read
How to Cut Large‑Model Token Usage by Over 90%
Old Zhang's AI Learning
Old Zhang's AI Learning
May 6, 2026 · Artificial Intelligence

Solving RAG’s Biggest Pain Point: Introducing the Open‑Source CocoIndex

RAG and agent contexts suffer from stale data, not chunking or reranking, and CocoIndex—a Rust‑based incremental engine with a declarative Python API—offers fresh, delta‑processed context, automatic schema evolution, and production‑grade features, demonstrated through PDF‑to‑Markdown pipelines and a podcast knowledge‑graph case study.

Agent ContextKnowledge GraphPython
0 likes · 13 min read
Solving RAG’s Biggest Pain Point: Introducing the Open‑Source CocoIndex
AI Architecture Path
AI Architecture Path
May 6, 2026 · Backend Development

Scrapling: Self‑Healing Web Scraper That Bypasses Cloudflare and Is 784× Faster Than BS4

Scrapling is an open‑source, adaptive web‑scraping framework that automatically tracks element changes, bypasses Cloudflare and other anti‑scraping defenses, offers multiple fetchers (including stealth mode), and delivers extraction speeds up to 784× faster than BeautifulSoup (BS4) while supporting concurrency, AI integration, and easy CLI usage.

PerformancePythonScrapling
0 likes · 16 min read
Scrapling: Self‑Healing Web Scraper That Bypasses Cloudflare and Is 784× Faster Than BS4
Tech Ocean
Tech Ocean
May 5, 2026 · Artificial Intelligence

Build a Runnable Knowledge‑Base QA Skeleton with Deep Agents in 10 Days

This article walks through a lightweight, runnable knowledge‑base question‑answering skeleton built with Deep Agents, explains its current capabilities and limitations, shows the project structure and core code, and outlines a step‑by‑step upgrade path toward a production‑grade RAG system.

AgentCLIDeep Agents
0 likes · 13 min read
Build a Runnable Knowledge‑Base QA Skeleton with Deep Agents in 10 Days
IT Services Circle
IT Services Circle
May 5, 2026 · Frontend Development

Make Your CLI Apps Look Stunning with the Python Textual Library

The article introduces Textual, a Python library built on Rich that lets developers create modern, styled terminal user interfaces—including windows, sidebars, buttons, and animated progress bars—using CSS‑like styling, and shows how to install, build a simple counter app, run it in the terminal or browser, and discusses suitable use cases.

CLICSS stylingPython
0 likes · 8 min read
Make Your CLI Apps Look Stunning with the Python Textual Library
IT Services Circle
IT Services Circle
May 4, 2026 · Frontend Development

Boost Your CLI’s Look with This Powerful Python Library

The article introduces Textual, a Python library built on Rich that lets developers create modern, CSS‑styled terminal user interfaces, shows how to install it, walk through a complete counter example, and explains its ability to run in browsers for lightweight ops dashboards.

CLIPythonTUI
0 likes · 8 min read
Boost Your CLI’s Look with This Powerful Python Library
Tinker Programmer
Tinker Programmer
May 4, 2026 · Fundamentals

Master LRU & LFU Cache Strategies for Interview Success

This article explains why LRU needs a doubly linked list, how to achieve O(1) LFU with two hash maps and a minFreq pointer, and why Redis uses approximate LRU and an 8‑bit Morris counter for LFU, providing full Java, Go, and Python implementations.

Cache EvictionGoJava
0 likes · 5 min read
Master LRU & LFU Cache Strategies for Interview Success
Test Development Learning Exchange
Test Development Learning Exchange
May 2, 2026 · Operations

Give Your Test Scripts a Brain: 15 Cutting‑Edge AI Decorators for 2026

The article showcases fifteen practical AI‑powered Python decorators that transform brittle if‑else test code into intelligent, self‑healing automation—covering smart retry, semantic assertions, data generation, flaky detection, traffic replay, dynamic timeouts, sensitive data masking, root‑cause analysis, and more—complete with concrete code samples and explanations.

AI testingCI/CDIntelligent Testing
0 likes · 18 min read
Give Your Test Scripts a Brain: 15 Cutting‑Edge AI Decorators for 2026
AI Explorer
AI Explorer
May 2, 2026 · Artificial Intelligence

How free-claude-code Lets You Use Claude Code’s Full Features for Free

free-claude-code is an open‑source proxy that intercepts Claude Code’s API calls and routes them to free or local models such as NVIDIA NIM, OpenRouter, DeepSeek, LM Studio, llama.cpp or Ollama, enabling full CLI, IDE and Discord/Telegram integration without paying Anthropic.

AI coding assistantClaude CodeNVIDIA NIM
0 likes · 6 min read
How free-claude-code Lets You Use Claude Code’s Full Features for Free
Test Development Learning Exchange
Test Development Learning Exchange
May 1, 2026 · Backend Development

20 Essential Python API Testing Skills: From Manual to AI‑Powered Automation

This guide presents 20 practical Python skills for API testing, covering basic request handling, pytest fixtures, JSON validation, database helpers, framework abstraction, dynamic data generation, Allure reporting, CI pipeline integration, AI‑driven test case creation, intelligent retries, performance and security testing, and engineering best practices to transform manual testing into an intelligent, automated workflow.

AIAPI-testingAllure
0 likes · 14 min read
20 Essential Python API Testing Skills: From Manual to AI‑Powered Automation
AI Explorer
AI Explorer
May 1, 2026 · Information Security

Maigret: A 3000+ Site Username Reconnaissance Tool for OSINT

Maigret is an open‑source Python utility that, with a single username, scans over 3,000 websites to automatically collect public profiles, images, locations and linked accounts, offering a fast, extensible way for OSINT practitioners to build comprehensive digital footprints while emphasizing legal and ethical use.

MaigretPythondigital footprint
0 likes · 6 min read
Maigret: A 3000+ Site Username Reconnaissance Tool for OSINT
Java Tech Enthusiast
Java Tech Enthusiast
May 1, 2026 · Artificial Intelligence

Why free-claude-code Soared to 16K+ Stars on GitHub Weekly Rankings

free-claude-code is a lightweight Python/FastAPI proxy that lets Claude Code bypass costly official APIs by routing requests to free or low‑cost LLM providers, addressing high cost, access restrictions, and model lock‑in, while offering easy setup, multi‑provider support, and advanced Discord/Telegram bot features that have earned it over 16,000 GitHub stars.

AI coding assistantClaude CodeFastAPI
0 likes · 12 min read
Why free-claude-code Soared to 16K+ Stars on GitHub Weekly Rankings
Data Party THU
Data Party THU
May 1, 2026 · Artificial Intelligence

LangChain vs LangGraph: Choosing Between a Toolkit and an Orchestration Layer

This article compares LangChain and LangGraph by implementing the same three‑stage code‑review pipeline with both frameworks, showing how LangChain offers a simple linear flow while LangGraph provides state‑machine orchestration for loops, conditional branches, and retries, and explains when each approach is preferable.

GeminiLLM workflowLangChain
0 likes · 8 min read
LangChain vs LangGraph: Choosing Between a Toolkit and an Orchestration Layer
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
May 1, 2026 · Artificial Intelligence

Zero Deployment, Zero Ops: Alibaba Cloud Milvus Embedding Service Makes Vectorization Plug‑and‑Play

The article explains how Alibaba Cloud's Milvus Embedding Service eliminates the need for self‑hosted embedding models by integrating model inference, vector generation and Milvus indexing into a managed pipeline, dramatically reducing deployment complexity, operational overhead, and time‑to‑value for semantic search, RAG and multimodal retrieval use cases.

Alibaba CloudEmbeddingMilvus
0 likes · 19 min read
Zero Deployment, Zero Ops: Alibaba Cloud Milvus Embedding Service Makes Vectorization Plug‑and‑Play
DeepHub IMBA
DeepHub IMBA
Apr 30, 2026 · Artificial Intelligence

Why Real RAG Systems Need Both BM25 and Vector Search

The article analyzes how BM25 excels at exact token matching while vector embeddings capture semantic intent, explains their distinct failure modes, and shows that a hybrid retriever—combined with metadata filtering, proper chunking, and reciprocal rank fusion—delivers the most reliable results for RAG pipelines.

BM25EmbeddingHybrid Retrieval
0 likes · 17 min read
Why Real RAG Systems Need Both BM25 and Vector Search
AI Architect Hub
AI Architect Hub
Apr 30, 2026 · Artificial Intelligence

How AI Understands Your Queries: Core Techniques of Semantic Vector Search

The article explains why traditional keyword search often fails when user questions differ from knowledge‑base wording, introduces semantic search that matches queries and documents via vector similarity, details query understanding and rewriting techniques, lists common pitfalls, provides a full Python implementation, and shares best‑practice recommendations.

AIPythonRAG
0 likes · 16 min read
How AI Understands Your Queries: Core Techniques of Semantic Vector Search
AI Open-Source Efficiency Guide
AI Open-Source Efficiency Guide
Apr 30, 2026 · Cloud Computing

MiniStack: Open‑Source LocalStack Alternative Simulating 40+ AWS Services

MiniStack is an open‑source, lightweight alternative to LocalStack that emulates over 40 AWS services on a single port, runs real infrastructure components like RDS and Redis, offers faster startup, lower memory usage, HTTP/2 support, drop‑in compatibility, multi‑tenant isolation, and easy installation via PyPI, Docker, or source.

AWSDockerLocalStack
0 likes · 8 min read
MiniStack: Open‑Source LocalStack Alternative Simulating 40+ AWS Services
AI Architect Hub
AI Architect Hub
Apr 30, 2026 · Operations

Comprehensive Guide to Installing Hermes and Its Web UI

This tutorial walks through installing Hermes with a single curl command that checks Python 3.11+, installs Node v23+, sets up a virtual environment, configures channels like WeChat, QQ and Feishu, and then adds the open‑source Hermes Web UI via npm for full model configuration and chat capabilities.

ConfigurationHermesInstallation
0 likes · 3 min read
Comprehensive Guide to Installing Hermes and Its Web UI
AI Explorer
AI Explorer
Apr 30, 2026 · Artificial Intelligence

How an LLM‑Powered Open‑Source Tool Automates Multi‑Market Stock Analysis

The article examines the open‑source "daily_stock_analysis" project, detailing its zero‑cost, fully automated architecture that integrates LLMs with multiple market data sources to generate a concise decision dashboard and push notifications via popular channels, dramatically reducing manual research time for investors.

AI AutomationGitHub ActionsLLM
0 likes · 7 min read
How an LLM‑Powered Open‑Source Tool Automates Multi‑Market Stock Analysis
AI Architecture Path
AI Architecture Path
Apr 30, 2026 · Artificial Intelligence

How a 592‑Line Open‑Source Tool Lets Claude Code Autonomously Control Browsers

Browser Harness is a lightweight, 592‑line Python framework built on Chrome DevTools Protocol that lets AI agents like Claude Code dynamically edit their own helper functions, auto‑generate site‑specific skills, and operate browsers without predefined scripts, while outlining its performance benefits, security cautions, and current limitations.

AI AgentBrowser HarnessChrome DevTools Protocol
0 likes · 11 min read
How a 592‑Line Open‑Source Tool Lets Claude Code Autonomously Control Browsers
Tech Freedom Circle
Tech Freedom Circle
Apr 29, 2026 · Artificial Intelligence

Inside Harness’s Super‑Powerful Three‑Level Memory Architecture: Context, History Layers, and Fact Lists

The article provides a detailed, source‑code‑backed walkthrough of Harness’s three‑level memory system—user context, historical layering, and a structured fact list—explaining each layer’s purpose, update frequency, lifecycle, and how the surrounding middleware, queue, updater, storage, and injection modules cooperate to deliver real‑time, persistent, and searchable memory for AI agents.

AI AgentDeerFlowHarness
0 likes · 27 min read
Inside Harness’s Super‑Powerful Three‑Level Memory Architecture: Context, History Layers, and Fact Lists
Java Web Project
Java Web Project
Apr 29, 2026 · Backend Development

Run Claude Code in VS Code for Free with a One‑Time Proxy Setup

This guide shows how to bypass Claude Code's paid Anthropic API by installing a local proxy that forwards requests to free models such as DeepSeek, Ollama, or NVIDIA NIM, covering all required tools, configuration steps, and troubleshooting tips.

Claude CodeDeepSeekNVIDIA NIM
0 likes · 10 min read
Run Claude Code in VS Code for Free with a One‑Time Proxy Setup
AI Architecture Path
AI Architecture Path
Apr 29, 2026 · Artificial Intelligence

Fed up feeding AI with docs? Microsoft’s Open‑Source MarkItDown converts any format to Markdown in a few lines

MarkItDown, an open‑source Python tool from Microsoft’s AutoGen team, converts over 20 document and media formats—including Word, Excel, PDF, images, audio and YouTube links—into standardized Markdown, offering OCR, LLM integration, Docker deployment, Azure Document Intelligence support, and extensive command‑line examples for enterprise and research pipelines.

AutoGenAzure Document IntelligenceDocker
0 likes · 13 min read
Fed up feeding AI with docs? Microsoft’s Open‑Source MarkItDown converts any format to Markdown in a few lines
Lin is Dream
Lin is Dream
Apr 29, 2026 · Artificial Intelligence

Where Do Agent Capabilities Come From? A High‑Frequency Skill Toolset for AI Agents

This article presents a practical collection of high‑frequency tools—including Python, Shell, SQL, Mermaid, Pandoc, curl, ImageMagick, and PlantUML—that can be wrapped as Agent Skills to give AI agents real execution power, illustrated with concrete prompts and scripts that cut manual work from hours to seconds.

Agent SkillImageMagickMermaid
0 likes · 13 min read
Where Do Agent Capabilities Come From? A High‑Frequency Skill Toolset for AI Agents