Nanocoder: A Practical, Local-First Command-Line Coding Assistant — Deep Guide and Hands-On Workflow This article is written entirely from the project README you provided and reorganized into a long-form, practical guide for engineers and product teams. It explains what Nanocoder is, how to install and configure it, how to create reusable command templates, and how to operate it safely in real projects. Overview — what this tool solves Nanocoder is a command-line tool that brings an “AI assistant” experience into each project folder. It is designed to be local-first and project-scoped: you run it from a repository root, point it …
Enhancing Human-in-the-Loop AI Development with Interactive Feedback MCP Introduction to Interactive Feedback MCP In modern software development practices, AI-assisted tools are increasingly becoming essential productivity enhancers. However, developers often face a common challenge when collaborating with AI: how to ensure AI systems accurately understand human intent and incorporate human judgment at critical decision points, thereby avoiding inefficient tool calls and resource waste. The Interactive Feedback MCP (Model Context Protocol) server emerges as a practical solution to this very problem. Developed by Fábio Ferreira (@fabiomlferreira), this innovative tool represents a significant step forward in human-AI collaboration. By visiting dotcursorrules.com, developers can …
Exploring Stax: Google’s Practical Tool for Evaluating Large Language Models What is the core question this article answers? How can developers effectively evaluate and compare large language models (LLMs) for their specific use cases using Google’s Stax tool? Stax is an experimental developer tool from Google AI designed to help evaluate LLMs by testing models and prompts against custom criteria. It addresses the challenges of probabilistic AI systems, where responses vary, making traditional testing insufficient. This article explores Stax’s features, workflows, and practical applications based on its core functionalities. Understanding the Need for Specialized LLM Evaluation What is the core …
Claude Code Companion: The Complete Guide to Stable and Flexible AI API Management Introduction In the rapidly evolving world of artificial intelligence, having reliable access to large language models has become crucial for developers and researchers alike. Today, we’re exploring a powerful tool called “Claude Code Companion” that significantly enhances your experience with Claude Code. Whether you’re new to AI or an experienced developer, this tool provides a more stable and flexible way to connect to AI services. What is Claude Code Companion? Claude Code Companion is a local API proxy tool specifically designed for Claude Code. Its core value …
30 Days Testing 23 AI Development Tools: 7 Tools That Actually Boost Productivity As a developer, I’ve seen countless AI tools promising to revolutionize coding—claims of 10x productivity gains, automatic bug elimination, and perfect code generation. But after 30 days of rigorous testing, I discovered something surprising: many hyped tools underdeliver, while lesser-known solutions genuinely transformed my workflow. I built 12 real applications using 23 different AI development tools, investing $847 and 240+ hours to verify these claims. This isn’t another sponsored review—it’s a comprehensive, hands-on analysis based solely on practical experience. Whether you’re a junior developer or seasoned professional, …
# 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 …