535 related articles

A complete guide to building AI agents with DeepSeek R1: private knowledge bases using RAG, basic/advanced agent implementation, and Coze/Dify workflow tutorials.

Grok 4.5 is back online, and Kimi 3 is on the way. This deep dive explores the multi-model landscape, complementary capabilities, cost strategies, and why usage limits persist across Claude, Gemini, and Grok.

A Reddit user's real experience with Perplexity Max ($200/month): 15,000 credits burned on one task, failed Grok integration, and complex MCP setup. Is it worth it?

Deep dive into OpenClaw multi-agent AI programming workflows: context layering, CMUX parallel terminal management, work trees, and manager-perspective debiasing for scalable AI dev automation.

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.

A veteran architect with 10+ years of experience reveals: in the AI coding era, the real scarcity isn't people who write code — it's people who design great systems.

A deep dive into Coze 3.0's multi-agent collaboration, covering project workspace architecture, credit economics, local tool integration, and a Dify comparison.

CodeWell open-sources a multi-model terminal coding agent, Kimi K3 launches with ultra-long context, MiniMax Code 2.0 rebuilds its Agent architecture, and Claude gets browser access. AI is accelerating from content generation to task execution.

awman's --dynamic flag enables cross-framework dynamic workflows with multi-model collaboration. Explore its leader agent architecture, shared context design, and auto fault-tolerance mechanisms.

A hands-on guide to building a local AI agent and private knowledge base using Cherry Studio, MCP, and Ollama — with web scraping, report generation, and terminal control.

A hands-on guide to deploying Dify 1.8.0, covering setup steps, Workflow vs. Chatflow differences, RAG knowledge base, and MCP support for AI app development.

A deep dive into tiered AI coding model selection: Deepseek and Mimo for daily tasks, Composer for serious dev, and Grok/GPT flagships for architecture planning.

Bun author Jared Sumner used Claude Code's dynamic workflows to rewrite 1M+ lines of Zig code into Rust in 11 days for $165K — what 3 engineers would need a year to do.

Spring AI is Java's answer to LangChain — offering unified multi-model APIs, structured output, RAG, Tool Calling, and MCP protocol support for enterprise LLM development.

Tencent Hunyuan Hy3 is live — here are 5 free access channels including WorkBuddy, Hermes Agent, OpenRouter, SiliconFlow, and WeChat Mini Program (up to 100M tokens).

Hands-on mobile testing of 8 AI video generators across Android and iOS. Higgsfield, Runway, and Imagine Art lead; VO 3.1 and Pika fall short. Find the best tool for mobile video creation.

A complete guide to n8n AI video generation automation: LLM-structured prompts, batch reference images, async video polling, and Google Sheets cost tracking — triggered by a single Webhook.

Android Studio's new Parallel Chats feature lets you run multiple AI agent tasks simultaneously, each with a different model — UI refactors, docs, and code explanations all at once.

A complete guide to Dify, the low-code AI app platform: five app types, multi-model setup, Docker deployment, and enterprise data security. Build LLM-powered workflows and Agents at minimal cost.

LangChain4j is the AI application development framework built for Java engineers. Integrate DeepSeek, Qwen, and more into Spring Boot — no Python required.