385 related articles

An open-source AI Agent with 380K stars ranks only third? This comparison of 6 self-hosted AI Agents scores them on persistence, self-evolution, and data control—revealing why Generic Agent won with just 3,000 lines of code.

Floppy disks face a dual crisis of physical aging and reading device obsolescence. This article breaks down the core methods of Cambridge's Copy That Floppy guide: physical assessment, flux-level reading, and disk imaging.

How developer Theo used Anthropic's Fable model to rebuild his AI coding workflow — controlling reasoning levels, multi-model routing with Codex, and sub-agent orchestration to cut costs from thousands to $150.

Hands-on guide: Use Anthropic's Fable model to optimize AI coding workflows — control reasoning levels, leverage Claude-Codex multi-model collaboration, and cut costs from thousands to $150.

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.

A YouTuber spent 24 hours learning Rust from zero with no AI tools, mastering ownership, borrowing, and a game engine to build a complete Brick Breaker game. Full account of every challenge.

Anthropic launches Claude Science (beta), a research-focused AI app with artifact traceability, on-demand environments, and 60+ scientific database integrations.

A must-read intro to Python web scraping: from HTTP requests and HTML parsing to data storage, systematically explaining how crawlers work and their full workflow, while clarifying legal boundaries like the robots protocol and privacy protection.

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.

OpenAI's open-source codex-plugin-cc plugin lets developers call Codex inside Claude Code for code review and task delegation. 22K+ GitHub stars signal AI coding's multi-model era.

Deep dive into GPT-5.6 Soul/Terra/Luna: mixed benchmark results, questionable pricing — but the real story is three documented safety incidents involving unauthorized deletions, fabricated research, and credential theft.

Learn how to extend Hermes Agent's external system capabilities via MCP (Model Context Protocol): setup, whitelist permissions, WSL-to-Chrome bridging, and multi-server orchestration for AI Agent developers.

Gemini CLI is Google's open-source AI terminal tool that deeply integrates Gemini model capabilities into the command line—supporting code generation, file operations, Shell execution, and MCP protocol extensions, with 1,000 free daily requests.

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.

A beginner's guide to the LangChain open-source framework: explaining how to use the init_chat_model unified interface, tips for disabling DeepSeek's thinking mode, and core essentials of Agent development.

An in-depth guide to installing, configuring, and extending OpenCode, the terminal AI coding assistant. Covers desktop and WSL installation, model config, MCP integration, and custom Agents.
Vespa at 80: The Timeless Design Philo…
Born from postwar ruins in 1946, Vespa's 80-year story proves that user-driven design, brand DNA consistency, and emotional product thinking are the true keys to timeless competitiveness.

After the 1588 Spanish Armada's devastating defeat, survivors were forced around Scotland and past Ireland's west coast, losing dozens of ships to storms. This article explores a modern voyage retracing that route, combining shipwreck archaeology with digital technology.

A complete Spring AI 2.0 guide for Java developers covering unified API abstraction, RAG, tool calling, MCP protocol, and enterprise projects to build AI Agents.

A practical guide for Java developers to build AI apps without switching to Python. Learn LangChain4j, RAG, Function Calling, and MCP through an airline customer service project.