131 related articles

Andrew Ng and LangChain CEO Harrison Chase present AI Agents in LangGraph, covering five core agent design patterns and LangGraph's graph-based framework for building cyclical agentic workflows.

Andrew Ng and LangChain CEO Harrison Chase's AI Agents in LangGraph course covers five agent design patterns and LangGraph's graph-based framework for building cyclical AI workflows.

Build an AI Agent from scratch — no frameworks. Deep dive into Function Call schema design, MCP remote mirroring, dual-model routing, and short-term memory management.
Stronger Models, Worse Tools? The Hidd…
Developers found Claude's flagship models Opus and Sonnet perform worse with third-party editing tools than older versions — likely due to RL over-optimization on built-in tools degrading generalization.

A deep dive into AirDrop and Quick Share wireless transfer protocol security — covering device discovery, handshake auth, data parsing attack surfaces, and practical defense recommendations.

Anthropic launches Claude for team collaboration while encrypted reasoning controversy erupts. Plus Sakana AI's routing model and OpenAI's alignment research breakthroughs.

Deep dive into Tencent's Marvis AI agent: multi-agent architecture, intelligent file organization, document analysis, cross-device sync, and local privacy mode explained.

Coding alone isn't enough anymore. Learn the 5 key steps to commanding AI Agents—define outcomes, split tasks, provide context, iterate small, and keep humans in the loop.

Deep dive into LangChain's core Model and Agent concepts, covering unified model interfaces, agent tool calling, middleware mechanisms, and key principles for building LLM applications.

AI Agent autonomous programming is evolving from niche experiments to the industry default. This article analyzes the three stages of AI-assisted programming, its impact on developer skills, process restructuring, and key challenges.

A deep dive into AI Agent architecture and engineering practices, covering tool design, ReAct execution patterns, Vercel deployment, and production considerations to bridge the prototype-to-production gap.
Tech FrontiersA rare quiet day in AI sees multiple sources go silent simultaneously. Behind the calm, Recursive Self-Improvement (RSI) research continues. What this means for the industry.

A detailed Python self-study roadmap in three phases: fundamentals, OOP & intermediate skills, and hands-on projects including web scraping and office automation.

How to efficiently learn Python from scratch? This guide covers a three-phase learning path—fundamentals, intermediate, and practical—including environment setup, OOP, web scraping, office automation, and data analysis.

A systematic three-stage AI Agent development roadmap: from Python basics and LLM fundamentals, through five core capabilities like planning and tool use, to hands-on RAG projects for real-world deployment.

Deep dive into Claude Code's leaked source revealing the 5-step AI coding Agent mechanism: progressive disclosure, precise indexing, surgical edits, auto-verification & graceful termination.

Anysphere, the company behind AI coding tool Cursor, secures investment from SpaceX and xAI, gaining world-class computing resources to reshape the AI coding landscape.

OpenAI's Frontier Evaluations lead Tejal Patwardhan shares insights on O1's jailbreak breakthrough, wet lab experiments beating human baselines, and building the AGI Index—revealing AI capabilities evolving faster than imagined.

A developer built a complete Connect 4 game using only CSS — no JavaScript. This article explores the Checkbox Hack, selector combinations, and other core techniques, examining the computational boundaries of CSS.

Hands-on test of OpenAI Codex autonomously completing the full video production pipeline — from script planning and coding to audio, subtitles, and rendering — with zero human code.