Twikit: Your Free and Easy Gateway to Twitter Automation with Python Twikit Logo Imagine having the power to interact with Twitter—posting tweets, searching for trends, or fetching user updates—all through a few lines of Python code, and without spending a dime or jumping through the hoops of getting an official API key. That’s exactly what Twikit offers: a free, open-source Twitter API client that simplifies automation and data retrieval. Whether you’re a hobbyist coder, a data enthusiast, or someone curious about building Twitter bots, Twikit makes it approachable and fun. In this guide, we’ll walk you through what Twikit is, …
Claude Opus 4.1 Is in Internal Testing: What a “Minor” Version Bump Really Means Last updated: 5 August 2025 Reading time: ~15 min Quick takeaway Anthropic has quietly added a new internal model tag—“claude-leopard-v2-02-prod”—to its configuration files, paired with the public-facing name Claude Opus 4.1. A new safety stack, Neptune v4, is undergoing red-team testing. If the past is any guide, the public release could land within one to two weeks. No new pricing, no new API endpoints—just (potentially) better reasoning. 1. Why a “.1” Release Still Deserves Your Attention When most software jumps from 4.0 to 4.1, we expect …
AutoStreamPipe: Revolutionizing Stream Processing with AI-Powered Pipeline Automation The New Era of Stream Processing In today’s data-driven landscape, real-time stream processing has become critical for business operations and decision-making. Yet developing efficient streaming pipelines requires specialized expertise and significant development time. AutoStreamPipe emerges as a transformative solution—an AI-powered framework that automatically generates, validates, and optimizes stream processing code using large language models (LLMs). Why Automation Matters Stream processing systems handle continuous data flows like financial transactions, IoT sensor readings, or social media feeds. Traditional development faces three core challenges: High expertise barriers: Developers need deep knowledge of frameworks like Apache …
Galileo: One Model to Map the World A practical guide to the open-source, all-in-one remote-sensing foundation model Table of Contents Why another remote-sensing model? What Galileo can “see” Inside the model — building blocks made simple How Galileo teaches itself without labels The 127 155 training scenes that keep Galileo honest Benchmarks that matter — 11 tasks, one winner Quick start: load, run and fine-tune in minutes Frequently asked questions 1. Why another remote-sensing model? Remote sensing is noisy. Images arrive in different wavelengths, resolutions and schedules. Objects of interest range from a two-pixel fishing boat to a thousand-pixel glacier. …
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, …
70 AI Agents, 2 Years, 16 Lessons “ A plain-language playbook for anyone who wants to ship useful AI companions—without the hype Why spend ten minutes here? Over the past two years I have delivered more than seventy AI agents to paying clients. Some agents now sit next to sales reps and replay their calls; others sit next to teachers and draft lesson plans; one even acts like a junior consultant and writes entire business proposals. I kept notes every time something broke at 2 a.m. or a user sent an angry e-mail. Those notes became sixteen lessons. This post …
MetaAgent: A Self-Evolving AI System That Learns Through Practice Introduction Imagine an AI system that starts with basic skills but gradually becomes an expert through continuous practice and reflection—much like humans do. This is the core idea behind MetaAgent, a groundbreaking AI framework designed for complex knowledge discovery tasks. Figure 1: MetaAgent evolves through task completion What Makes MetaAgent Unique? Traditional AI systems either: Follow rigid pre-programmed workflows Require massive training datasets MetaAgent takes a different approach by: Starting with minimal capabilities Learning through real-world task execution Continuously improving via self-reflection Core Design Principles 1. Minimal Viable Workflow MetaAgent begins …
PandaCoder: The Intelligent Programming Assistant for Developers Who Think in Chinese In today’s global software development landscape, most programming languages and development tools are built on English foundations. This creates a natural language barrier for Chinese-native developers. From variable naming to class design, from configuration file comprehension to documentation reading, language differences not only reduce development efficiency but also increase the likelihood of errors. Addressing this pain point, PandaCoder has emerged—a specialized IntelliJ IDEA plugin meticulously crafted for Chinese developers, enabling seamless conversion between Chinese thought processes and professional English code. A focused developer using PandaCoder within IntelliJ IDEA, with …
Qwen-Image: The 20B Multimodal Model Revolutionizing Text Rendering and Image Editing Alibaba’s Qwen Team unveils a groundbreaking 20B parameter visual foundation model achieving unprecedented accuracy in complex text rendering and image manipulation Why Qwen-Image Matters Qwen-Image represents a significant leap forward in multimodal AI technology. This 20B parameter MMDiT (Multi-Modal Diffusion Transformer) model demonstrates exceptional capabilities in two critical areas: Complex text rendering with precise typography preservation Fine-grained image editing with contextual coherence Experimental results confirm its superior performance in both image generation and editing tasks, with particularly outstanding results in Chinese character rendering. Latest Developments August 4, 2025: Technical …
BruteForceAI: The AI‑Powered Intelligent Login Brute‑Force Tool for Next‑Gen Penetration Testing TL;DR (≤100 words): BruteForceAI combines Large Language Model (LLM) intelligence with multi‑threaded attack engines to automatically detect login forms, simulate human‑like timing, and support both brute‑force and password‑spray modes. It features configurable delays & jitter, User‑Agent rotation, proxy support, SQLite‑backed logging, and real‑time Webhook alerts—making it a powerful, compliant, and extensible tool for authorized security assessments. 1. Introduction: Why Choose BruteForceAI? In today’s security landscape, login forms are prime targets for attackers. BruteForceAI elevates traditional brute‑force tools by integrating LLM‑powered form analysis to automatically locate username/password fields and submission …
Give Every Post a Voice: A Step-by-Step Guide to bskyScribe, the Open-Source Media-Description Bot for Bluesky Imagine scrolling Bluesky on the train. You see a 45-second video, but the creator left no caption. A friend shares an infographic, yet the text is too small to read. For users with low vision, hearing loss, or simply a broken headphone jack, these posts are locked doors. bskyScribe is a small, friendly key. It waits in the background, listens for a mention, and then automatically writes a short, human-readable summary—under 250 characters—so that everyone can join the conversation. This guide walks you through …
Getting Started with the Tavily MCP Load Balancer A practical guide for developers who want to spread API traffic across many keys without touching a single line of load-balancing logic By the end of this guide you will be able to: Spin up a local load balancer in under ten minutes Add, remove, or disable Tavily API keys without downtime Call search, crawl, extract, and map endpoints through either SSE or plain stdio Read real-time dashboards that tell you which key is healthy, which is resting, and which has retired itself Table of Contents Why Multiple API Keys Matter What …
Xianyu Auto-Reply System: Multi-Account Management and Intelligent Trading Solution “ This article is based entirely on the official documentation of the open-source project xianyu-auto-reply. For learning purposes only – commercial use is strictly prohibited. Full copyright terms appear at the end. Why Businesses Need Xianyu Automation Tools Managing multiple Xianyu accounts presents three core challenges: Delayed message responses causing lost customers Time-consuming repetitive shipping operations Inefficient multi-account switching This article details an open-source automation solution for Xianyu that provides: Intelligent message replies (keyword matching + AI responses) Fully automated shipping processes Unified multi-account management Smart product data analysis Core Feature …
Unveiling the New Benchmark for AI Assessment: A Deep Dive into Artificial Analysis Intelligence Benchmarking Methodology V2.1 How do we figure out how “smart” an artificial intelligence (AI) really is? You might hear people say a certain language model is clever, but what does that mean in practical terms? In this blog, we’ll explore a unique “test” built just for AI—called the Artificial Analysis Intelligence Benchmarking Methodology (AAIB) Version 2.1, released in August 2025. Picture it as a custom exam that checks an AI’s skills in areas like knowledge, reasoning, math, and coding. My goal is to break down this …
LISP: Revolutionizing API Testing with LLM-Powered Input Space Partitioning A technical deep dive into the ICSE ’25 research breakthrough transforming how developers test library APIs What is LISP? LISP (LLM based Input Space Partitioning) represents a paradigm shift in API testing methodology. This innovative approach leverages Large Language Models (LLMs) to analyze library API source code and intelligently partition input spaces based on code semantics and domain knowledge. Core Capabilities Semantic Code Analysis: LLMs directly parse API implementation code Intelligent Input Partitioning: Automatically identifies critical input boundaries Knowledge Integration: Combines programming expertise with common sense reasoning Research Validation: Peer-reviewed at …
Mastering Large Language Models: A Practical Guide to Training, Alignment, and Inference Large language models (LLMs) have rapidly evolved from research curiosities into foundational tools for natural language processing. These models can generate coherent text, answer complex questions, write code, and even assist in scientific reasoning. However, their power stems not from magic, but from a well-defined technical pipeline that includes pre-training, fine-tuning, alignment, and efficient inference. This guide breaks down each stage using only insights derived from current research, offering a clear, practical understanding suitable for readers with a junior college education or higher. We will explore how these …
Tencent Hunyuan 0.5B/1.8B/4B/7B Compact Models: A Complete Hands-On Guide From download to production deployment—no hype, just facts Quick answers to the three most-asked questions Question Straight answer “I only have one RTX 4090. Which model can I run?” 7 B fits in 24 GB VRAM; if you need even more head-room, use 4 B or 1.8 B. “Where do I download the files?” GitHub mirrors and Hugging Face hubs are both live; git clone or browser downloads work. “How fast is ‘fast’?” 7 B on a single card with vLLM BF16 gives < 200 ms time-to-first-token; 4-bit quant shaves another …
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 …
Why AI Projects Keep Getting Bogged Down by Prompts—And How PromptShelf Solves It With a Git-Like Mindset By an AI-platform architect & Rust enthusiast Last updated: 26 July 2025 If your team still hard-codes prompts into the codebase or e-mails .txt files back and forth, you know the late-night panic drill: 3 a.m. production incident: the model starts hallucinating, you think somebody changed the prompt, but there is zero change history; the product manager wants an A/B test, yet the back-end engineer says “We’ll need a full CI/CD run to rebuild the image”; a new prompt engineer joins and nopes …