908 related articles

A detailed guide to GitHub Copilot's standalone app covering project creation, AI agent collaboration, canvas features, and tips to help developers get started with AI-assisted development.

A 7-year frontend engineer, fearing AI-driven job loss, builds a homelab to learn Docker, databases, and networking. A pragmatic roadmap for developers building breadth in the AI era.

Build high-quality AI projects on a budget. Learn how to use Ollama, Groq, Chroma, and other free open-source tools to build RAG systems and multi-Agent workflows from scratch.

Build high-quality AI projects on a budget. Learn how to use Ollama, Groq, Chroma, and other free open-source tools to build RAG systems and multi-Agent workflows from scratch.

A 12-person product team shares real-world experiences with Cursor, Codex, Claude Code, and CodeRabbit—exploring efficiency plateaus, scenario matching, and selection criteria for AI coding tools that actually stick.

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.

Spring AI 2.0 brings five core updates: mandatory upgrade to Spring Boot 4, Tools parsing moving up, a built-in Agentic mechanism, MCP switching to Streamable HTTP, and an on-demand tool Advisor.

Anthropic introduces Context Engineering, revealing Context Rot: the more tokens in the window, the worse AI retrieval accuracy. Learn the three principles, just-in-time retrieval, and three moves against context overflow.

Spring AI 2.0 brings five core updates: mandatory Spring Boot 4 upgrade, Tools parsing moved up, built-in Agentic mechanism, MCP switch to Streamable HTTP, and on-demand tool-loading Advisor.

Spring AI 2.0 brings five core updates: mandatory upgrade to Spring Boot 4, lifted Tools parsing, built-in Agentic mechanism, MCP switch to Streamable HTTP, and an on-demand tool-loading Advisor.

The RingCentral China Hackathon, themed on Agentic AI, gathered top engineering teams. This article explores agent AI's evolution, champion team Stargate, and China's developer culture.

The RingCentral China Hackathon, themed on Agentic AI, gathered top engineering teams. This article explores the evolution of agentic AI, champion team Stargate's engineering skill, and the unique value of China's developer culture.

The RingCentral China Hackathon, themed on Agentic AI, gathered top engineering teams. This article explores agent AI's evolution, champion team Stargate, and China's unique developer culture.

Google's official hands-on: how to go from idea to production fast with AI Studio and build AI Agents using the now-GA Interactions API. The core idea—Agents are just combinations of files.

Official Google hands-on: go from idea to production fast with AI Studio, and build AI Agents with the now-GA Interactions API. The core idea: an Agent is just a composition of files—Markdown plus a few scripts, no complex Python loops needed.

xAI's Grok 4.5 has landed in the Cursor editor, free on all plans. This article covers how to enable it, benchmark performance, token cost comparisons, and practical strategies for pairing it with your main model.

Anthropic's Applied AI team breaks down a methodology for choosing AI models: building custom evals, avoiding three common pitfalls, measuring value by cost per success, and cutting costs with prompt caching and context engineering.
Instatic: The Open-Source AI-Driven Vi…
Instatic is an Agentic, self-hosted open-source visual CMS that outputs clean static pages, with built-in user, role, plugin, and database management. Positioned as an open-source alternative to Webflow, Framer, and WordPress, it has earned 4,000+ GitHub Stars.

xAI's Grok 4.5 has landed in the Cursor editor, free on all plans. This guide covers how to enable it, benchmark performance, token cost comparisons, and practical mix-and-match strategies to maximize this free window.

Poolside releases Laguna S 2.1, an open-source agentic coding model: 118B total params with only 8B active, scoring 40.4% on DeepSWE — ~4.5x DeepSeek V4 Pro Max. Supports 1M-token context, deployable on a single workstation.