# QWEN XML Tool Call Explorer: A Comprehensive Guide for Developers In today’s world of AI development, working with function calls can be tricky. Whether you’re building applications that interact with external tools or trying to understand how AI models respond to specific requests, having the right tools makes all the difference. That’s where the QWEN XML Tool Call Explorer comes in. This powerful web-based tool is designed to help developers test, explore, and debug XML-formatted function calls with QWEN models through OpenAI-compatible APIs. In this guide, we’ll cover everything you need to know to get started, use advanced features, …
Discovering DeepCode: A Practical Guide to Multi-Agent Code Generation Have you ever wondered how to turn a research paper’s complex algorithm into working code without spending weeks debugging? Or how to describe a web interface in plain words and get a functional prototype ready to use? If you’re a developer, researcher, or anyone working with code, tools like DeepCode can simplify these tasks. In this article, I’ll walk you through what DeepCode is, how it works, and how you can get started with it. We’ll cover everything from its features to installation steps, all based on the project’s details. Let’s …
Turning Your Codebase into a Single Prompt for AI Models with Code2Prompt Have you ever found yourself manually copying and pasting code files into an AI chat to get help with analysis or generation? It’s time-consuming, right? What if there was a way to automate that process, pulling your entire codebase into a structured prompt that’s ready for large language models? That’s where Code2Prompt comes in. In this article, we’ll walk through what Code2Prompt is, how it works, and step-by-step ways to get it set up and running. I’ll address common questions along the way, like how to install it …
A Comprehensive Guide to AI Agent Configuration Files: AGENTS.md, CLAUDE.md, and GEMINI.md Introduction: The New Era of AI-Assisted Programming If you’ve been working with AI programming assistants recently, you may have noticed special .md files appearing in your project repositories. These aren’t ordinary documentation files—they’re specialized configuration files that tell AI tools how to behave within your codebase. The rapid adoption of AI coding assistants has created a new challenge: each major platform developed its own configuration format, leading to fragmentation and increased maintenance overhead. This guide will help you understand the three major configuration formats that have emerged and …
Building a Market Research Agent with Gemini and Vercel’s AI SDK Hello there! If you’re interested in combining AI with market analysis, you’ve come to the right place. Today, I’m going to walk you through creating a Node.js application that uses Gemini and Vercel’s AI SDK to automate market trend research. This isn’t just theory—it’s a hands-on guide based on practical steps. Imagine having an agent that searches for current market trends, extracts data for charts, and compiles everything into a professional PDF report. Sounds useful for business analysts or developers looking to integrate AI into their workflows, right? We’ll …
The Ultimate AGENTS.md Handbook A friendly, field-tested guide for developers who want AI coding assistants—and human teammates—to get up to speed in minutes. Table of Contents What Is AGENTS.md and Why Should I Care? Anatomy of a Great AGENTS.md File Step-by-Step: Writing Your First AGENTS.md Real-World Templates You Can Copy-Paste Working with Monorepos: One File per Package Common Pitfalls and How to Dodge Them Quick FAQ from the Community Ten-Minute Upgrade: Turn an Existing README into AGENTS.md Appendix: Production-Ready Examples Final Thoughts 1. What Is AGENTS.md and Why Should I Care? Picture this: It is Tuesday evening, you are fixing …
Pixelle MCP: Making AI Workflows Simple and Powerful Have you ever wondered how to make complex AI models and workflows as easy to use as building blocks? In today’s rapidly evolving AI landscape, many developers and creators find themselves overwhelmed by the various complex toolchains. Today, I want to share with you a solution that truly addresses this problem—Pixelle MCP, a full-modal fusion agent framework that brings LLMs and ComfyUI together in an unprecedented way. What Exactly Is Pixelle MCP? Simply put, Pixelle MCP is an AIGC solution based on the MCP protocol that enables zero-code conversion of ComfyUI workflows …
POML: A New Language for Orchestrating Large Language Model Prompts In the rapidly evolving field of artificial intelligence, large language models (LLMs) have transformed how we interact with technology. However, developing effective prompts for these models remains a significant challenge. Traditional prompt development often suffers from structural disorganization, data integration difficulties, and format sensitivity issues. To address these challenges, Microsoft has introduced POML (Prompt Orchestration Markup Language), a specialized markup language designed specifically for LLM applications. This comprehensive guide explores POML’s core features, installation process, practical applications, and implementation strategies, providing developers with the knowledge to enhance their LLM projects …
The Ultimate GPT-5 Prompt Engineering Guide: Unleashing Agentic Intelligence and Coding Prowess “ Evidence-based techniques from OpenAI’s technical documentation to master next-generation AI capabilities Why GPT-5 Prompt Engineering Matters OpenAI’s GPT-5 represents a quantum leap in agentic task performance, coding proficiency, and instructional precision. Unlike previous models, its true potential emerges only through scientifically crafted prompts. This guide reveals: 🚀 How to achieve 78.2% success rate on Tau-Bench Retail (vs 73.9% baseline) 💡 Why Cursor editor reduced user interruptions by 67% through prompt tuning ⚙️ The hidden API parameters that control reasoning depth and verbosity § Mastering Agentic Workflow Control …
Ultra MCP: The Unified Gateway to Multiple AI Models What Is Ultra MCP and Why It Matters Ultra MCP is an open-source Model Context Protocol server that creates a unified interface for accessing multiple AI models. Imagine having a universal remote control that lets you operate all your entertainment devices—Ultra MCP does exactly that for AI development, enabling seamless interaction with: OpenAI’s models (including GPT series) Google Gemini (specifically 2.5 Pro) Microsoft Azure OpenAI services xAI Grok models Born from inspiration drawn from Google’s Agent2Agent protocol and the Zen MCP project, Ultra MCP addresses critical pain points developers face when …
mini-SWE-agent: The 100-Line AI Agent That Solves GitHub Issues and More mini-SWE-agent Banner What if Your AI Coding Assistant Could Fit in a Tweet? Imagine an AI agent powerful enough to solve real GitHub issues, yet simple enough that you could read and understand its entire codebase during your morning coffee break. That’s exactly what mini-SWE-agent delivers—a revolutionary approach to AI programming assistance that proves sometimes less is truly more. In an era where AI tools are growing increasingly complex, mini-SWE-agent stands out by doing something radical: it works with just 100 lines of Python code. Developed by the Princeton …
Serena: Open-Source Coding Toolkit Enabling AI to Work Directly in Your Codebase Introduction In the software development landscape, we frequently encounter complex codebases requiring meticulous analysis, function identification, refactoring, or feature implementation. Traditional approaches often demand developers manually search through extensive code, read documentation, and make modifications—a process that’s both time-consuming and prone to errors. Today, I’d like to introduce a revolutionary open-source tool: Serena, which transforms large language models (LLMs) into fully-functional coding agents capable of operating directly within your codebase. Unlike conventional text-based coding assistants, Serena enables AI to: Comprehend code’s symbolic structure (functions, classes, variables) Precisely locate …
From Command Line to Chat Window: A Deep-Dive Guide to AionUi Making Google Gemini as easy to use as your favorite messaging app—without losing any of its power. 1. Why Replace the CLI with a GUI? 1.1 Four everyday pain points Pain point Typical scenario Outcome Managing files with @ commands Typing long paths by hand Typos and lost time Lost conversations Closing the terminal and forgetting yesterday’s work Starting from scratch Plain-text interface Code, tables, and prose mixed together Hard to read Single-threaded chat Needing two tasks at once Waiting in line 1.2 The single sentence that sums it …
AIClient-2-API: The Lightweight, OpenAI-Compatible Gateway for Google Gemini, OpenAI, Claude, and Beyond A step-by-step guide for junior developers, power users, and small teams who want one universal endpoint for every major large-language-model provider. Table of Contents Why You Need a Unified API Gateway What AIClient-2-API Actually Does Architecture at a Glance (No Jargon) Installation & First Run in 10 Minutes Everyday Usage Examples Advanced Tricks for Teams and Power Users Troubleshooting & Common Pitfalls Extending the Gateway for New Providers Legal Notes & Credits 1. Why You Need a Unified API Gateway If you have ever built a chatbot, a …
Claude Code IDE for Emacs: Integrating AI Seamlessly into Your Development Workflow Introduction As a developer, have you ever wished you could bring the power of an AI assistant directly into your daily editing environment? Emacs, renowned for its extensibility and customizability, now offers enhanced capabilities through Claude Code IDE. This extension creates a sophisticated integration between Emacs and the Claude AI assistant, transforming how developers interact with their codebase. Unlike simple terminal wrappers, Claude Code IDE establishes a bidirectional bridge that allows Claude to understand and leverage Emacs’ powerful features—from Language Server Protocol (LSP) integration to project management and …
Async Code Agent: How to Run Multiple AI Coders in Parallel Without Losing Your Mind A practical, jargon-free guide to setting up, using, and extending the open-source Async Code Agent platform—built for developers who want AI help on many files at once, not one file at a time. Table of Contents Why Parallel AI Coding Matters What Async Code Agent Actually Does Core Features in Plain English Quick-Start: From Zero to Running in Ten Minutes Step-by-Step Daily Workflow Architecture at One Glance Development Mode vs. Production Mode Common Questions (FAQ) Troubleshooting Checklist Next Steps & Extending the Platform 1. Why …
Deep Dive into OpenBench: Your All-in-One LLM Evaluation Toolkit OpenBench is an open-source benchmarking framework designed for researchers and developers who need reliable, reproducible evaluations of large language models (LLMs). Whether you’re testing knowledge recall, reasoning skills, coding ability, or math proficiency, OpenBench offers a consistent CLI-driven experience—no matter which model provider you choose. 1. What Makes OpenBench Stand Out? Comprehensive Benchmarks 20+ Evaluation Suites: Includes MMLU, GPQA, SuperGPQA, OpenBookQA, HumanEval, AIME, HMMT, and more. Broad Coverage: From general knowledge to competition-grade math, it’s all in one place. Provider-Agnostic Plug-and-Play: Works with Groq, OpenAI, Anthropic, Cohere, Google, AWS Bedrock, Azure, …
Setting Up Claude Code in Five Minutes: A Practical Guide with ZCF “ A plain-English walkthrough for developers who want Claude Code running today without wrestling with config files. 1. Why ZCF Exists in One Sentence Claude Code is powerful, but its files are scattered. ZCF (Zero-Config Claude-Code Flow) gathers them, fills in the blanks, and hands you a working environment in a single command. 2. Two Commands Cover 90 % of Use-Cases Your situation Terminal What happens First time with Claude Code npx zcf Installs → chooses language → sets API → installs MCP services → drops ready-to-use configs …
Mastering RooFlow: The Ultimate Guide to Persistent Project Context in Roo Code for VS Code Estimated reading time: 12 minutes Audience: Developers, technical writers, and DevOps engineers who already use the Roo Code extension inside Visual Studio Code and want a friction-less way to keep project knowledge between sessions. Table of Contents Why Project Memory Fails in Standard Roo Code What Exactly Is RooFlow? The Five Flow Modes and Their Superpowers Memory Bank Deep-Dive: Your Project’s Long-Term Memory Step-by-Step Installation (Windows, macOS, Linux) First-Run Tutorial: From Empty Folder to Fully Contextualized AI Chat Updating, Uninstalling, and Co-existing With Native Roo …
Opal: A No‑Code Platform for Building AI Mini‑Apps with Natural Language Opal Workflow Screenshot Google Labs’ new experiment, Opal, lets you turn plain-English prompts into full‑featured AI mini‑applications—without writing a single line of code. By combining natural‑language instructions with a visual flow editor, Opal automates model selection, prompt chaining, and tool integration, giving developers and non‑developers alike a fast path to prototype, iterate, and share AI‑powered workflows. In this deep‑dive, you’ll learn: Core concepts behind Opal’s design Step‑by‑step guide: from prompt to published app Key components of the visual workflow editor Template library and remixing patterns Real‑world scenarios and best …