143 related articles

Cursor launches its iOS app with always-on cloud AI agents and remote local Agent control, letting developers direct AI coding from anywhere — no desktop required.

An AI research engineer with 3 years of experience sent 50 applications to FAANG with zero replies. This article breaks down the hidden barriers of top-tech AI roles, the truth about LinkedIn ghost jobs, and the MLE vs. Research Engineer divide.

A collection of 28 fully reproducible enterprise-grade AI Agent projects covering code debugging, financial analysis, customer service, and multi-agent collaboration—deployable even for beginners.

In-depth guide to Kaggle's free-tier compute: P100/T4 GPU with 30 hours/week quota, 12-hour sessions, suitable models like CNN and BERT fine-tuning, plus tips like mixed precision and checkpointing to start deep learning at zero cost.

Learn automation testing from scratch! This article breaks down a three-stage path: Selenium/Appium tools, Requests+PyTest API testing, performance testing and CI/CD, with real projects—build a complete skill set in 21 days.

As LLM costs keep falling, how can Java developers seize the AI opportunity? This article explores LangChain4J's core capabilities, supported models and vector databases, and compares LangChain4J vs. Spring AI to help you build local knowledge bases and intelligent customer service systems.

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.

A hands-on guide to building an enterprise-grade AI Agent workflow orchestration app with Electron Forge and LangGraph, covering local LLM deployment (Qwen3-0.6B), node-based visual canvas design, and full Function Calling integration.

An in-depth look at why TypeScript is the top choice for AI Agent development: covering Zod structured output validation, LangGraph's graph state machine design, and a full learning path for front-end devs transitioning to full-stack AI.

An in-depth analysis of LangGraph's core concepts: short-term and long-term storage mechanisms, its differences from LangChain, the MIT open-source license, and private deployment solutions for enterprise Agent development.

Why can't companies find qualified AI engineers? Discover the 4 core competencies every high-value LLM application engineer needs: task decomposition, tool calling, observability, and production readiness.

A systematic Claude Code learning guide built for Chinese developers, covering ten core modules including Slash Commands, Memory, MCP, and Hooks, with a three-tier path to build an AI coding workflow in 11–13 hours.
Launch a Cloud Dev Environment in One …
OpenAI Codex's DigitalOcean plugin lets developers launch persistent cloud dev environments with a single natural language prompt. A deep dive into capabilities, use cases, and risks.

OpenAI's official open-source plugin brings Codex into Claude Code for cross-model code review. Five core features including adversarial review and sub-agent delegation — with real risk warnings included.

A complete MCP practical guide using the official Python SDK — covering environment setup, FastMCP server development, Inspector debugging, and multi-client integration with Cursor and Cline.

AI Workbenches automate the full content creation pipeline — from topic research to visual output. Multi-model routing, transparent execution, and reusable workflow templates redefine how creators work.

Harness Engineering is becoming a must-have skill for AI agent developer roles. Learn the architecture, how top agent products use it, and how to practice with LangChain DeepAgents.

Deep analysis of how Daytona pivoted from browser IDE to AI Agent sandbox infrastructure, achieving 60ms startup times, 850K daily sandboxes on bare metal, and why Computer Use opens a trillion-dollar market.

Deep analysis of memory system architectures across 16 open-source AI Agent projects including Hermes, Goose, NanoClaw, and Deerflow, covering FTS5 vs vector search, multi-tenant isolation, and LLM auto-extraction.

OpenAI Codex has a severe logging bug that wrote 37TB to a user's SSD in 21 days, potentially killing drives within a year. Learn the cause, risk, and fix.