AI Agent Evaluations: The Complete 2025-2026 Guide to Bulletproof Testing
2 months ago 高效码农How to Build Reliable Evaluations for AI Agents: A Complete Practical Guide (2025–2026 Edition) If you’re building, shipping, or scaling AI agents in 2025 or 2026, you’ve probably already discovered one hard truth: The same autonomy, tool use, long-horizon reasoning, and adaptability that make powerful agents incredibly valuable… also make them extremely difficult to test and improve reliably. Without a solid evaluation system, teams usually fall into the same reactive cycle: users complain → engineers reproduce the bug manually → a fix is shipped → something else quietly regresses → repeat. Good evaluations break this loop. They turn vague feelings …
VideoRAG: How Machines Finally Crack Extreme Long-Context Video Understanding
2 months ago 高效码农VideoRAG & Vimo: Cracking the Code of Extreme Long-Context Video Understanding Core Question: Why do existing video AI models fail when faced with hundreds of hours of footage, and how does the VideoRAG framework finally enable machines to chat with videos of any length? When we first attempted to analyze a 50-hour university lecture series on AI development, our state-of-the-art video model choked after the first three hours. It was like trying to understand an entire library by reading random pages from three books. That’s when we realized the fundamental flaw: current video understanding approaches treat long videos as isolated …
Claude Code Setup Guide: Master Installation, Configuration, and AI-Driven Development
2 months ago 高效码农How to Set Up and Configure Claude Code: A Comprehensive Guide for Developers If you’re a software developer looking to streamline your coding workflow, Claude Code might just be the tool you’ve been waiting for. Developed by Anthropic, this terminal-based AI assistant integrates powerful language models like Claude Opus and Sonnet to help with everything from code editing and debugging to automated reviews and project maintenance. In this guide, we’ll walk through the entire process of setting up Claude Code, from installation to advanced configurations, drawing on official documentation and real-user tips to make sure you get it right …
LittleCrawler Python Framework: Master XHS, Xianyu & Zhihu Scraping in Minutes
2 months ago 高效码农LittleCrawler: Run Once, Own the Data — An Async Python Framework for XHS, XHY, and Zhihu “ What exactly is LittleCrawler? It is a battery-included, open-source Python framework that uses Playwright, FastAPI and Next.js to scrape public posts, details and creator pages from Xiaohong-shu (RED), Xianyu (Idle Fish) and Zhihu in a single CLI or a point-and-click web console. 1. Why Yet Another Scraper? Core question: “My one-off script breaks every month—how can I stop babysitting logins, storage and anti-bot changes?” One-sentence answer: LittleCrawler moves those chores into pluggable modules so you spend time on data, not duct-tape. 1.1 Pain-points …
WeChat Chat History Unleashed: View, Export & Summarize Locally with AI on Mac
2 months ago 高效码农WechatExplorer: Viewing and Understanding WeChat Chat History on macOS with Local AI Summaries As WeChat conversations accumulate over time, chat history gradually becomes a dense archive of information rather than a practical reference. Important discussions, decisions, and context are often buried under large volumes of messages, especially in group chats. WechatExplorer is designed to address this exact situation. It is a macOS desktop application that allows users to view, search, export, and summarize decrypted WeChat chat records locally, with optional AI-powered group chat summarization. The tool emphasizes local data processing, user control, and structured understanding of chat history, rather than …
UniVideo Explained: The Single Open-Source Model That Understands, Generates & Edits Videos with AI
2 months ago 高效码农UniVideo in Plain English: One Model That Understands, Generates, and Edits Videos Core question: Can a single open-source model both “see” and “remix” videos without task-specific add-ons? Short answer: Yes—UniVideo freezes a vision-language model for understanding, bolts a lightweight connector to a video diffusion transformer, and trains only the connector + diffusion net; one checkpoint runs text-to-video, image-to-video, face-swap, object removal, style transfer, multi-ID generation, and more. What problem is this article solving? Reader query: “I’m tired of chaining CLIP + Stable-Diffusion + ControlNet + RVM just to edit a clip. Is there a unified pipeline that does it all, …
Beyond Code: Building Complex AI Workflows with Claude Agent SDK
2 months ago 高效码农Beyond Code: Building Your First Non-Coding AI Workflow with Claude Agent SDK Have you ever wondered what the powerful engine behind Claude Code—one of the best coding tools available—could do besides writing code? As a developer who has long explored the boundaries of AI automation, I’ve been searching for more lightweight and direct solutions for building agents. While mainstream frameworks like CrewAI and LangChain continue to grow in complexity, I decided to turn my attention to an unexpected tool: the 「Claude Agent SDK」. My hypothesis was simple: if it can give AI exceptional coding capabilities, then applying its core principles—tool …
UniVLA Unlocked: How Hidden Language Makes Robots Finally Understand Complex Tasks
2 months ago 高效码农What is UniVLA and How It Enables Robots to Truly Understand and Execute Complex Tasks Imagine you’re teaching a robot to “put the screwdriver back in the toolbox.” Traditional approaches require writing precise motion commands for that specific robot: lift arm 15 centimeters, rotate wrist 30 degrees, apply 2 newtons of grip force. Switch to a different robotic arm, and every parameter must be recalibrated. It’s like teaching a person to do something by first explaining how to contract every muscle—inefficient and lacking universal applicability. UniVLA (Unified Vision-Language-Action) directly addresses this core challenge. It aims to enable robots to understand …
Unlock the Infinite Revenue Loop: Automate Your AI Business with Manus, Claude, and Grok
2 months ago 高效码农Unlock the Infinite Revenue Loop: An Automated AI Business Engine with Manus, Claude, and Grok By combining Manus for data analysis, Claude for content execution, and Grok for real-time trend capture, operators build a self-reinforcing info-product business loop. This system requires only 13 hours of weekly work and 56inAItoolcosts∗∗toachieveexponentialmonthlyrevenuegrowthfromzeroto∗∗80k–$150k within a year. Introduction: Why Single AI Tools Fail to Deliver High Returns In today’s digital business landscape, many people rely on a single, generic AI tool, only to find their results stagnant and their income hovering between 5,000and10,000. The root of this mediocrity lies in the singular approach to tool …
Context Graph: The Next-Gen Data Platform Unlocking Enterprise Agentic Automation
2 months ago 高效码农Context Graphs: Understanding Real Enterprise Processes to Unlock the Next Generation Data Platform for Agentic Automation Context is the next data platform If I asked you, “What is the actual process for signing a new contract at your company?” you might answer, “Oh, Sales submits a request, Legal reviews it, and then a leader approves it.” But that’s the “should” written in the policy manual. The reality is often this: Salesperson Zhang updates the deal stage in Salesforce, then messages Legal Specialist Li on Slack with a link to the latest Google Doc. Li leaves comments, schedules a calendar invite …
DeepV Code: The AI Programming Assistant That Understands & Completes Your Entire Project
2 months ago 高效码农DeepV Code: The AI-Powered Intelligent Programming Assistant Transforming Development Workflows Meta Description: Discover DeepV Code, the revolutionary AI-driven programming assistant that understands full project context, automates complex workflows, and supercharges developer productivity with advanced tooling and seamless integrations. AI-Powered Intelligent Programming Assistant Empowering Developers, Accelerating Innovation English | Simplified Chinese Table of Contents Project Overview Why Choose DeepV Code Core Features Quick Installation Getting Started CLI Command Reference Interactive Slash Commands Project Architecture VS Code Extensions Built-in Tool System MCP Protocol Support Hooks Mechanism Configuration Files Development Guide Frequently Asked Questions Contribution Guidelines Roadmap License Related Links Project …
ChatGPT Health: How AI Manages Personal Health Data Securely & Transforms Healthcare
2 months ago 高效码农Introducing ChatGPT Health: A Secure AI Partner for Your Personal Health Journey Snippet/Summary: ChatGPT Health is a dedicated experience that securely integrates your personal health data, such as medical records (EHR) and app data (Apple Health, MyFitnessPal), with AI intelligence. It provides personalized insights for lab results, doctor visit preparation, and lifestyle planning within an isolated, encrypted environment where conversations are never used for model training. Why Health is Now a Core Part of the AI Experience Managing health information today is often a fragmented and overwhelming process. Vital data is scattered across patient portals, wearable devices, fitness apps, and …
NVIDIA Cosmos Reason2: Build Smarter Robots with Human-Like Physical AI Reasoning
2 months ago 高效码农Exploring NVIDIA Cosmos Reason2: A Reasoning Vision Language Model for Physical AI and Robotics Summary NVIDIA Cosmos Reason2 is an open-source, customizable reasoning vision language model (VLM) designed for physical AI and robotics. It enables robots and vision AI agents to reason like humans, leveraging prior knowledge, physics understanding, and common sense to comprehend and act in the real world. The model understands space, time, and fundamental physics, serving as a planning tool to determine the next steps for embodied agents. Available in 2B and 8B parameter versions, it requires at least 24GB GPU memory and supports Hopper and Blackwell …
NVIDIA Nemotron Streaming Speech Recognition: How 600M Parameters Redefine Real-Time ASR Deployment
2 months ago 高效码农NVIDIA Nemotron Streaming Speech Recognition: From Model Principles to Practical Deployment—How 600M Parameters Are Redefining Real-Time ASR Imagine a cross-continental video conference where your voice assistant not only transcribes everyone’s speech into text in real time but also intelligently adds punctuation and capitalization, with almost imperceptible delay. Or, when you’re conversing with your car’s voice system, its responses feel so natural and fluid, as if speaking with a person. At the heart of this experience lies the core challenge: how to make machines “understand” a continuous stream of speech and instantly convert it into accurate text. Traditional Automatic Speech Recognition …
The A.X K1 Deep Dive: A 519B MoE Model with Think-Fusion Intelligence
2 months ago 高效码农Deep Dive into A.X K1: Architecture Design and Think-Fusion Evolution of a 519B MoE Model Snippet: A.X K1 is a 519B-parameter Mixture-of-Experts (MoE) model by SK Telecom, activating only 33B parameters for efficient inference. It introduces the Think-Fusion training recipe, enabling a unified model to switch between high-speed “intuition” and deep “reasoning” modes, setting new benchmarks in Korean and multi-language AI performance. In the pursuit of Artificial General Intelligence (AGI), the industry faces a constant tug-of-war: how to maintain massive model capacity without skyrocketing inference costs. The newly released A.X K1 technical report provides a definitive answer. By leveraging a …
HyperCLOVA X 8B Omni: The Open-Source Any-to-Any Multimodal AI Unpacked
2 months ago 高效码农One Transformer, Three Modalities: Inside HyperCLOVA X 8B Omni (The Plain-English Walkthrough) “ Main keywords: HyperCLOVA X 8B Omni, any-to-any multimodal, text-image-speech model, 8-billion-parameter model, Korean-first AI, OmniServe inference, open-weight license Quick-glance answers (save you a scroll) Question Short answer What is it? An 8-billion-parameter decoder-only model that reads & writes text, images and speech in a single forward pass. Who should care? Teams that need Korean/English multimodal AI but only have 3–4 A100s, not 40. Is it really open? Weights are downloadable. Commercial use is allowed under NAVER’s custom license (credit + no illegal use). How big is the …
View and Edit CAD Drawings in Browser: How CAD-Viewer Secures Design Collaboration
2 months ago 高效码农View and Edit CAD Drawings Directly in Your Browser: How CAD-Viewer Makes Design Collaboration Simpler and Safer? Have you ever faced this dilemma: needing to quickly view a CAD drawing but not having professional AutoCAD software installed, or wanting to collaborate online with your team on a drawing review, yet worrying about the risk of sensitive design files being leaked when uploaded to third-party servers? Today, I’d like to share with you a high-performance CAD viewing and editing solution that runs entirely in your browser—CAD-Viewer. It might completely change the way you handle DWG/DXF files. CAD-Viewer Interface Showcase What is …
Autonomous Coding Agent: How Ralph’s 80-Line Bash Loop Ships Code While You Sleep
2 months ago 高效码农Let AI Ship Features While You Sleep: Inside Ralph’s Autonomous Coding Loop A step-by-step field guide to running Ralph—an 80-line Bash loop that turns a JSON backlog into shipped code without human interrupts. What This Article Answers Core question: How can a single Bash script let an AI agent finish an entire feature list overnight, safely and repeatably? One-sentence answer: Ralph repeatedly feeds your agent the next small user story, runs type-check & tests, commits on green, and stops only when every story is marked true—using nothing but Git, a JSON queue, and a text log for memory. 1. What …
Claude AI Skills: How to Build Workflow Skills to Stop Copy-Pasting Prompts Forever
2 months ago 高效码农From Repetitive Prompts to AI Systems: How I Boosted My Workflow Efficiency by 300% Using Claude Skills Three months ago, I was stuck in a loop, copying and pasting the same prompts into Claude, over and over. Every conversation felt like starting from scratch. Today, I operate a suite of automated systems. These systems execute entire decision-making frameworks, generate content in my unique brand voice, and guide me through complex problems with step-by-step precision. The pivotal shift occurred when I changed my perspective. I stopped treating Claude like a simple chatbot and started treating it like a new team member …
Mastering Context Engineering for Claude Code: The Ultimate Guide to Optimizing LLM Outputs
2 months ago 高效码农Mastering Context Engineering for Claude Code: A Practical Guide to Optimizing LLM Outputs In the realm of AI-driven coding tools like Claude Code, the days of blaming “AI slop” on the model itself are long gone. Today, the onus falls squarely on the user—and the single most controllable input in these black-box systems is context. So, how do we optimize context to unlock the full potential of large language models (LLMs) like Claude Code? This comprehensive guide will break down everything you need to know about context engineering, from the basics of what context is to advanced strategies for maximizing …