175 related articles

A systematic evaluation of 13 LLMs, 4 agent frameworks, and 5 programming languages reveals the real differences in AI coding capabilities and optimal model-framework pairing strategies.

jQuery UI creator Paul Bakaus identifies the core quality problem in AI products: it's not insufficient generative power, but a lack of editorial judgment. When AI output density is too high, human aesthetic trade-offs become the key differentiator.

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.

Real-world comparison of Kimi K3 vs Claude flagship across e-commerce pages, 3D fighting games, and flight simulators. Kimi K3 delivers 90% output quality at 1/8 the price with faster speeds and local deployment support.

Bilibili creator tests Claude Fable 5, Kimi K3, and ChatGPT Codex recreating Hollow Knight, Cuphead, and Zelda — comparing code quality, collision detection, and Boss design.

Deep dive into Harness Engineering: why AI Agents need memory management, durable execution, guardrails & approvals to go from demo to production.

Deep dive into Harness Engineering: why AI Agents need memory management, durable execution, guardrails & approvals to reach production. Based on Scott Moss's workshop.

Deep dive into ChatGPT's plugin directory upgrade—how AI connects email, docs, calendars and more to transform from a chat tool into a workflow hub platform.

Deep dive into ChatGPT's plugin upgrade: how AI connects email, docs, calendars & more to transform from a chatbot into a workflow hub with cross-app aggregation.

Learn AI Agent core principles from scratch: understand how Agents differ from LLMs, their execution mechanisms, why rule design matters, and find the right learning path for your goals.

Exploring the key evolution in coding agent architecture: separating the reasoning core from code execution environments to decouple control and execution planes.

Deep dive into the five evolution stages of AI Agent architecture: model calls, tool calls, workflows, Agent loops, and production runtime. Learn the responsibility boundaries and design principles.

A systematic guide to AI Agent development covering core modules, framework selection, tool calling, data preparation, and production deployment to help developers build production-ready Agent applications.

A beginner's guide to AI Agents: understand core principles, how Agents differ from LLMs, their execution mechanisms, and get tailored learning path recommendations.

Exploring the next evolution in coding agent architecture: decoupling the reasoning core from code execution environments to separate control and execution planes.

Agent Skills is a lightweight open-source format that lets AI agents extend professional capabilities on demand, like loading plugins. Learn what Agent Skills are, the problems they solve, and their modular advantages.

Anthropic introduces Context Engineering, revealing Context Rot: the more tokens in the window, the worse AI retrieval accuracy. Learn the three principles, just-in-time retrieval, and three moves against context overflow.

Ego Lite is a browser built for AI collaboration. Based on Chromium, it uses login state reuse and isolated Spaces so AI Agents can autonomously handle web operations, form filling, and data scraping—solving the human-machine focus conflict. macOS only.

Office CLI is an open-source GitHub Trending tool that lets AI Agents create Word, Excel, and PowerPoint files directly — with preview rendering and auto-checks, no Microsoft Office required.

A Reddit user generated a polished parody movie poster with a single prompt. This article analyzes AI image generation's one-shot breakthroughs and deepfake risks.