313 related articles

Qwen launches a massive open-weight model, DeepSeek V4 priced at $0.0028/M tokens, Kimi K3 hits compute limits — Chinese AI labs are aggressively disrupting OpenAI and Anthropic's frontier model dominance.

Hands-on Qwen review: Alibaba's free AI platform offers image generation, video creation, web dev, voice/video chat & travel planning — rivaling ChatGPT Plus.

A complete guide to Claude Code: environment setup, switching to domestic LLMs, CLI commands, Git workflows, MCP, Subagents, and enterprise project walkthroughs.

Are 'free, no-VPN' AI aggregator platforms in China trustworthy? We break down how API relay platforms work, their data risks, hidden costs, and safer alternatives.
GitHub Daily · July 20: AI Agent Infra…
AI Agent infrastructure explodes across GitHub Trending: OmniRoute unifies 268+ providers, cognee adds long-term memory, and self-hosted openship tops growth with +1719 stars.

A Reddit user's Perplexity farewell exposes AI search's core tension: free trials hook users, then reasoning model quotas drive them away. Here's what it means for the industry.

OpenCode is an open-source terminal coding agent with 180K+ GitHub stars, supporting hundreds of models and a dual-layer agent architecture — completely free. See how it compares to Claude Code.
PostHog Deep Dive: The Open-Source All…
PostHog is an open-source all-in-one platform combining product analytics, session replay, feature flags, A/B testing, and AI Observability. Supports self-hosting and MCP protocol.

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.

Discover why AI Agents burn through API budgets fast, and how to deploy OpenClaw on a home server using Ollama, DeepSeek, and Gemini in a cost-effective hybrid setup.

A 2-year Perplexity Pro user explains why they're leaving. Covers how to export chat history in JSON/PDF/Excel, and compares Google Gemini, ChatGPT, and Claude as alternatives.

No coding needed: master Claude Code workflows with folder structure, sub-agents, third-party connectors, and scheduled routines to build your own AI automation OS.

LLM JSON output unstable in your Agent? This guide covers 6 engineering layers: constrained decoding, validation retry, fake tool calls, Logit Masking, Schema contracts, and anti-pattern locking.

GPT-5.6 raises frontier model expectations, Anthropic extends Fable 5; data center power bottlenecks emerge; open-source GLM5.2 rivals top closed models; AI review burden overlooked.

MCP and Skills aren't alternatives — they occupy different layers of AI Agent architecture. This article breaks down Function Call, MCP, and Skills to clarify each layer's role.

Programmers transitioning to AI engineering aren't starting from scratch. Learn the 6 core skills — LLM APIs, RAG, prompt engineering, LLMOps — needed to make the leap.
The Hidden Costs of AI Coding Tools: A…
Claude Code consumes up to 33,000 tokens per request before reading your prompt, vs. 7,000 for OpenCode. We break down why this 5x gap matters for cost, latency, and context windows.
OpenAI May Roll Out Universal Usage Li…
OpenAI's Codex hits rate limits fast — is this a preview of broader ChatGPT usage caps? We analyze compute costs, tiered subscriptions, and how users can prepare.

A deep comparison of Codex vs. Claude Code on pricing, stability, and frontend/backend strengths — plus how to choose between Cursor, Claude Code, and Codex.

Deep dive into MCP (Model Context Protocol): clarifying the three-layer relationship between MCP, Function Calling, and Agents, covering protocol roles, call flows, transport choices, and production security for AI developers.