199 related articles

Google Gemini Managed Agents API introduces environment hooks, model selection, free tier support, and default model upgrades—empowering AI Agent developers with stronger execution control and lower barriers to entry.

Anthropic cut Claude Code's system prompt by 80% and got better performance. Learn why verbose prompts hurt, how to streamline them, and key takeaways for AI developers.

Anthropic cut Claude Code's system prompt by 80% and got better results. Learn why verbose prompts hurt performance, how to streamline them, and key lessons for AI developers.

In-depth analysis of Google Gemini 3.6 Flash's core upgrades including output quality improvements and token consumption optimization, with developer migration advice.

Chinese users face registration, payment, and network barriers when accessing GPT, Claude, and other top AI models. This guide covers AI aggregation platforms as a one-stop solution.

Loop Engineering is a paradigm shift in AI usage. Learn how to build automated loops where agents explore, execute, and verify tasks autonomously, with a hands-on e-commerce case study.

Explore Harness Engineering: the next evolution beyond context engineering for AI programming. Learn how to build enterprise-grade Skill systems and deliver real projects with mid-tier models.

Build an enterprise RAG knowledge base Q&A system using Spring AI 2.0, Cursor AI programming, Ollama local deployment, and Redis vector storage. Runs on just 4GB VRAM.

In-depth comparison of Fable 5 vs GPT-5.6 (Sol) for AI coding. Real-world data on token efficiency, code quality, design capability, and cost from $10K+ testing.

In-depth comparison of Fable 5 vs GPT-5.6 (Sol) for AI coding. Covering token efficiency, code quality, design, cost, and safety based on $10K+ real usage data.

Google launches Gemini 3.5 Flash-Lite, its smallest and fastest AI model that outperforms Gemini 3 in most scenarios. Learn about its key advantages, cost benefits, and impact on developers.

Deep dive into Anthropic's Agent Skills mechanism, explaining how Progressive Disclosure solves MCP context bloat and tool calling accuracy issues in AI agents.

PiDeck is a free, open-source local AI coding workbench that provides graphical management for CLI tools like Claude Code and Cursor. This guide covers PiDeck installation, model auth, project management, and advanced conversation tips.

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.

An in-depth look at Vibe Coding (AI-assisted programming) at major tech companies. With three real AI coding interview questions from firms like ByteDance, we analyze how frontend developers can master AI programming and rebuild core competitiveness.

From prompt engineering to context engineering to Harness engineering, this article breaks down the three evolutions of AI coding and offers engineering solutions to pain points like hallucinations, non-standard code, and infinite loops.

A complete guide to Claude Code: Node.js setup, CLI install, switching to Chinese LLMs with CC Switch, core commands, and conversational Git workflows with automated bug fixing.

An in-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing methods and the transition path for test engineers.

In-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing and the transition path for test engineers.

A hands-on case study: using Claude Code and the LVGL graphics library to build a Tetris game running on an embedded dev board from scratch in under 3 hours.