777 related articles

Explore the new code review mindset for the AI programming era: now that code is cheap, engineers should generate massive amounts of code to verify critical code rather than obsessing over reading every line.

Explore the new code review mindset in the AI era: now that code is cheap, engineers should generate more code to validate critical code rather than reading every line.

Deep analysis of the AI-generated Spanish short drama Nido de Villanas, exploring how generative AI is transforming short drama production and driving content industrialization.

Explore how AI empowers Spanish-language micro-drama production—from script generation and voice synthesis to multilingual distribution—and its profound impact on the global content industry.

How to learn AI Agents from scratch? This guide covers two clear paths: developers go from Python to LLMs to open-source framework source code; practitioners use Claude Code or similar tools to get results fast.

Depth perception for transparent and reflective objects has long been a core challenge in robotic grasping. LingBot-Depth uses masked depth modeling to turn sensor failure into supervisory signals, inferring glass depth from RGB context.

Users report Grok 4.5 underperforms in Cursor vs. the official terminal. We analyze how system prompts, context management, parameters, and tool calling create AI coding tool integration gaps.

Transparent and reflective object depth perception is a core challenge in robotic grasping. LingBot-Depth uses masked depth modeling to turn sensor failure into supervision, inferring glass depth from RGB context.

A detailed guide to OpenAI Codex's core features, real-world usage, comparison with Claude Code, and DeepSeek configuration tips for developers choosing AI programming tools.

A beginner's guide to AI Agents: understand core principles, how Agents differ from LLMs, their execution mechanisms, and get tailored learning path recommendations.

A senior Java developer shares 7 years of IntelliJ IDEA configuration tips: JVM tuning, AI-assisted coding, Testcontainers testing, debugging tricks, and Spring toolchain setup.

Deep breakdown of 4 core AI Agent engineer competencies: business decomposition, multi-Agent architecture, quantitative evaluation, and engineering delivery—bridging the gap from Demo to production.

A detailed guide to getting started with Codex and Claude Code—two leading AI agentic coding tools. From environment setup to hands-on practice, even beginners with no coding experience can master AI programming assistants.

A detailed guide to getting started with Codex and Claude Code AI agentic coding tools, from environment setup to hands-on practice, helping beginners master AI programming assistants.

When AI tools let everyone code and design, where is your edge? A deep analysis of why focus and execution are the scarcest superpowers in the AI era.

When AI handles the details for us, do we gain empowerment or lose capability? This article explores the hidden costs of outsourcing details to AI and how to use AI tools rationally.

Veteran AI practitioner Remy breaks down the leap from chat models to AI agents: how agents work, the three pillars of context, tools, and skills, MCP connections, and hands-on architecture to make you a 100x employee.

A complete guide to Claude Code from beginner to enterprise practice: covering CLI installation, connecting domestic LLMs via CC Switch, basic commands, Git workflow integration, automated bug fixing, and engineering capabilities like MCP and SubAgents.

A complete guide to learning AI Agents: from large model fundamentals and core technologies to hands-on projects. Systematically outlines beginner methods and exposes crash-course marketing traps.

A detailed walkthrough of the full Claude Code setup process, comparing AI coding tools like Cursor and Trae, and analyzing the cost and performance of models like Sonnet and DeepSeek V4 Pro.