353 related articles

A Reddit user spotted "Gemini 3.5 Pro" listed as unrecognized in Google AI Studio. We break down the technical signals, naming logic, and strategic implications.

A complete guide to Claude Code Skills: what they are, how they differ from Plugins, three installation methods, how to write SKILL.md, trigger mechanisms, and top resource recommendations.

Claude Design banned its own aesthetic — here's what that reveals. Learn how Agent workflows, system prompts, and Skill division help you escape AI Slop and build a genuine personal design style.

No coding required! This guide breaks down the complete Claude workflow: custom Projects, batch SEO content, one-sentence tool building with Artifacts, and Claude Code terminal ops—with real traffic-growth cases.

A deep dive into the WebMCP proposal: how AI agents read websites, how to expose structured tools via imperative and declarative APIs, and how to audit agentic readiness with Lighthouse.

AI code getting messier with edits? The root cause isn't weak model capability but a lack of context and process. A deep dive into Matt Pocock's Skills v1.1: grilling, vertical-slice tickets, TDD, and WebFinder.
Building AI Engineering Skills from Sc…
A deep dive into 'ai-engineering-from-scratch,' the GitHub project with 38K+ stars that helps developers build real AI engineering skills through a Learn-Build-Ship methodology.

Full breakdown of a real AI testing pipeline: API collection, doc enrichment, AI test case generation, Agent-driven execution, and test reports — with Skills, RAG, and Harness engineering.

Pi Agent hands-on review: ~1,200 token overhead, no built-in system prompts, supports Codex/Grok and more. Compared to Claude Code and OpenCode, Pi Agent wins with minimalist design and full customizability.

Deep dive into Coze's three core capabilities: multi-person multi-AI collaboration, customizable agents, and cross-platform project management. Covers credits, Dify comparison, and a practical learning path.

A ByteDance interviewer breaks down the 3-layer Vibe Coding interview framework: AI tool awareness, complex product engineering, and a 1-hour full-stack challenge. Architectural thinking wins.

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.
Anthropic Open-Sources CWC Workshops: …
Anthropic open-sources cwc-workshops on GitHub — a TypeScript-based, structured workshop covering Prompt design, Tool Use, and Agent orchestration to help developers master Claude integration.

Enterprise guide to Claude Code: CLI setup, switching to DeepSeek and other Chinese AI models, Git workflow automation, and bug fix loops to boost team productivity.

Tested three open-source spreadsheet AI skills for Claude Code on multi-table joins, data cleaning, and reusability. The one with the worst docs won — here's why.

MCP (Model Context Protocol) is the open standard for AI tool integration. Build your own MCP server with ~20 lines of Python. Learn tools, resources, prompts, and both local and remote deployment.

Is "GPT-5.6" with Sol, Terra, and Luna sub-models a real OpenAI release? We debunk the viral claims, expose third-party top-up risks, and show how to spot AI scams.
Designing APIs for AI Agents: A Paradi…
When AI Agents become the primary API callers, traditional interface design assumptions break down. This article explores agent-friendly API design principles and how MCP is driving this paradigm shift.

A systematic breakdown of LangChain's six core modules (Models/Prompts/Chains/Memory/RAG/Agent) and LangGraph's state graph, persistence, and HITL — with production deployment tips.

How to configure Cursor, Codex, Devin, and other AI coding agents for context management, code quality, and cross-tool collaboration. Practical tips on rule files, TDD, and structured context storage.