72 related articles

A deep-dive evaluation of Addy Osmani, Matt Pocock, and Gary Tan's skill libraries, distilling a 5-step Research→Prototype→Plan→Build→Test agent dev loop and why the best skill system is always your own.

Prefactor is a production-grade monitoring tool for real-time AI Agent evaluation, using live scoring, quality drift detection, and performance visualization to solve the core problem of Agents passing offline tests but failing in production.

Prefactor is a production-grade monitoring tool for real-time AI Agent evaluation, using real-time scoring, quality drift detection, and performance visualization to solve the core pain point of Agents passing offline tests but failing in production.

Robynn AI is a self-learning website operations tool that uses intelligent auditing, natural language editing, and data-driven auto-rollback to solve post-launch decay issues like broken links and ranking drops.

OpenWork is an open-source alternative to Claude Cowork built on opencode with TypeScript. With 17,000+ GitHub stars, it offers data privacy, flexible model switching, and deep customization.

What is the fundamental difference between terminal agents and device agents? This article breaks down Claude Code's core positioning, the key logic for enterprise AI testing selection, and the advantages of the Claude Code + DeepSeek combination.

A systematic map of today's AI coding landscape: the evolution from ChatGPT to Claude Code, LLM capability tiers, tool camps like Cursor/Copilot, and the three key weapons of the Agent era — MCP, Skills, and CLI.
GitHub Daily · July 25: Where Decentra…
GitHub Trending July 25: bitchat's Bluetooth Mesh chat gains 1,700 stars in a day, palmier-pro reimagines AI-native video editing, and aisuite unifies LLM access.

Learn how Bilibili creator JK built an AI-automated topic selection system using Codex and Feishu — covering the three-dimension method: practice, trending topics, and benchmarking.

Five key AI industry trends: Doubao surpasses 180 trillion daily calls, OpenAI's in-house AI chip, NVIDIA's $3-4 trillion compute forecast, China catching up, and the GPT-5.6 cheating scandal.

How can users in China use Claude? This article deeply compares four solutions: official subscription, proxy subscription (WildCard), relay platforms (2233/0011.ai), and API aggregation (OpenRouter).

OpenAI joins the Rust Foundation as a Platinum Member with $600K. xAI and Anthropic are also building Rust infrastructure. Here's why AI giants are betting big on Rust.

Did Claude drop ~10 benchmark points after redeployment? We dig into the safety classifier routing mechanism, Arena voting data, and developer feedback to reveal the truth.

Zhipu AI's Z.ai founder teases a new GLM model just one month after GLM 5.2. We decode the announcement, explore likely upgrade directions, and analyze China's LLM iteration pace.
GitHub Daily · July 21: The Agent Skil…
GitHub Trending July 21: The Agent Skills ecosystem explodes as pluggable skill packs top the charts, MCP becomes the de facto standard, and ai-agent-book surges 4,434 stars in a day.
GitHub Daily · July 19: The Dual Advan…
GitHub Trending July 19: ktransformers tops the list with heterogeneous inference optimization, while jcode, cua, and AstrBot signal a maturing Agent ecosystem.

How AirOps replaced traditional workflow builders with the Claude Agent SDK to build an AI agent platform for content marketers — covering three architectural iterations, harness engineering, and sub-agent context management.

OpenAI's finance head Stacy Fagioli reveals how her team uses ChatGPT, Codex, and Excel AI to run finance operations with just 20% of typical headcount — covering IR agents, LBO modeling, and ROI dashboards.

Is one-prompt app generation really that powerful? We break down three tiers of AI dev tools, expose the gap between demo and production, and compare top domestic platforms including Baidu Miaoda and Ant Lingguan.

A deep dive into the three-layer AI Agent evaluation framework — outcome, process, and system layers — covering trajectory evaluation, tool call accuracy, automated testing, and key engineering challenges.