76 related articles

Want to break into AI application development? This guide covers the full learning path — from Agents and RAG to Prompt Engineering — helping you master LLM engineering skills and land the job.

An exclusive look at the AI Engineer Summit dress rehearsals, decoding the paradigm shift from research to production. A deep dive into AI Engineer challenges, RAG, agent systems, and AI engineering as a distinct discipline.

Starting from a brief thank-you tweet, this article explores content co-creation in AI and open source communities—how video demos become a new dissemination medium and how creators and developers build trust networks together.

Most Agent projects lack competitiveness in interviews due to missing business value and engineering depth. This article breaks down the 6 core standards of high-value Agent projects.

Google lets businesses connect their Google Business Profile to Gemini, so the AI can read operating info, reviews, and business data to offer targeted marketing advice—lowering AI barriers for SMBs.

As one of the world's largest car marketplaces, AutoScout24 is going AI-native with OpenAI Codex and agents. It built a CapEx agent in 48 hours, saving ~$1M/year, and explores hands-off coding.

How can frontend developers get into AI Agent development with TypeScript? This guide covers a four-stage path from API calls to building LangGraph from scratch, including Zod, state management, and node-edge design.

Frontend hiring now treats AI capabilities as a core assessment, covering RAG knowledge bases, AI Agent development, and LangChain.js engineering. Learn how LangChain.js + Nuxt.js helps frontend developers build memory- and retrieval-capable AI full-stack apps.

Want to learn Python from scratch but don't know where to begin? This article breaks down three stages—basic syntax, advanced mastery, and hands-on practice—with real projects in crawling, automation, and data analysis to help you build programming thinking.

The agentskills open-source project aims to solve AI Agent ecosystem fragmentation through standardized skill specifications enabling portable, composable, and reusable agent capabilities.

How Agentic AI achieves SOTA performance in interstitial lung disease (ILD) genomic interpretation through autonomous planning, multi-step reasoning, and tool calling—and its clinical impact.

Creator Ajiang burned 10B Tokens on Codex to migrate cc-haha from Tauri 2 to Electron. A deep dive into Codex's long-horizon engineering, Computer Use, costs, and practical advice for developers.

Generative AI is reshaping software development, shrinking demand for junior developer roles. This article analyzes why entry-level positions are most at risk, the talent pipeline implications, and how junior developers can leverage AI tools to stay competitive.

Light-Skills is an MIT-licensed open-source research AI with 28 interconnected Skills, 9 knowledge bases, 317 knowledge cards, and 49 scripts covering the full research workflow — with a hard rule against fabricating citations or data.

90% of AI video beginners fail due to missing a complete workflow. This guide breaks down a 3-phase AI short drama roadmap covering controllable generation, character consistency, emotional hooks, and AI-friendly scriptwriting.

Hands-on review of Tencent's free AI coding assistant CodeBuddy, covering installation, login setup, basic command testing, and building a corporate website with one prompt.

A systematic 6-week AI Agent development roadmap covering core architecture, ReAct paradigm, multi-agent collaboration, RAG integration, and deployment for beginners to build production-ready agents.

A practical LangGraph.js guide for frontend engineers covering LangGraph vs LangChain comparison, workflow vs general-purpose agent types, and layered Agent architecture design.

Deep dive into Hermes Agent's core architecture including the Skills system, GPA governance mechanism, and 47 built-in tools. Learn how Hermes self-evolves to get smarter with use.

A complete hands-on guide to OpenAI Codex covering installation, CLI interaction, agents.md setup, MCP protocol integration, Rules governance, and building a RAG intelligent customer service system.