88 related articles

A junior student uses Cursor and Vibe Coding to build a multi-agent system with 51 AI officials modeled on China's Three Departments and Six Ministries, featuring task distribution, approval workflows, and Token cost visualization.

Claude Mythos 5 briefly spotted in Anthropic's API sparking launch speculation; OpenAI negotiates equity transfer and public wealth fund with U.S. government for over a year; Hermes Agent V0.16.0 ships native desktop app with Chinese language support.

A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.
AI Startup in Practice: A Complete Bre…
Robbie, an ordinary employee, used $100 and an AI Agent to launch a business, earning $8,374 in 13 days. A full breakdown of the path from failure to success, including AI-driven market analysis and a stunning 43.8% conversion rate.
Claude Code Dynamic Workflows Explaine…
Learn how Claude Code Dynamic Workflows orchestrate sub-agents for parallel tasks. Compare four collaboration modes, enable workflows, and save them for reuse.
The Five-Tier Pyramid of IT Careers in…
AI is reshaping IT careers into a five-tier pyramid from tool usage to self-developed models. Learn where you fit and how to maximize your career potential.
AI Agent Development Learning Roadmap:…
A systematic AI Agent development learning roadmap covering LLM API calls, ReAct framework, memory mechanisms, and multi-agent collaboration across four stages with timeline and project suggestions.
AI Agent Development Learning Roadmap:…
A systematic AI Agent development learning roadmap covering core concepts, ReAct/CoT paradigms, multi-agent collaboration, and hands-on projects across four stages.
Learning AI Agent Development from Scr…
A comprehensive guide to AI Agent development for beginners, covering low-code platforms, LangChain framework, and monetization strategies for building and deploying intelligent agents.
Self-Study Guide to AI Agent Developme…
A practical self-study roadmap for AI Agent development: covering core skills, common pitfalls, phased learning plans, and interview prep to help developers go from concept collectors to builders.
A Practical Guide for Agent Engineers:…
Master the three-phase methodology for Agent engineers: Ideation, Iteration, and Evolution. Build reliable AI programming systems without over-engineering.
Practical Experience Building an Autom…
Practical experience building a dev pipeline with multiple AI Agents: three-Agent architecture, Batch API cutting 50% token costs, 24/7 async execution, and the one-person company paradigm.

Deep dive into Cherry Studio, an open-source AI client supporting 300+ LLMs including OpenAI, Claude, and Gemini, with autonomous agents and pre-built assistants. Nearly 47K GitHub Stars.

Google launches unified AI platform Antigravity, migrating Gemini CLI users to the new Antigravity CLI rebuilt in Go with multi-agent orchestration and async workflows.

Deep dive into how the Cosmos Unified Agents Platform solves multi-AI Agent collaboration challenges through shared context and memory mechanisms, and its positioning in enterprise multi-Agent orchestration.
Deep Dive into Cosmos: A Unified AI Ag…
Deep dive into Cosmos, a unified AI agent orchestration platform that integrates scattered AI agents into a coordinated system spanning the full dev lifecycle, achieving 3x throughput gains.

From Rockefeller managing Standard Oil via telegraph to AI-era collaboration tools, explore over a century of remote work evolution and the core logic of effective remote management.

Deep dive into how Gemini 3.5 Flash and Antigravity platform use multi-subagent architecture to design and build a complete virtual city from scratch.

What is Tokenmaxxing? OpenAI provides $2M in Token credits to each YC startup, marking a fundamental shift in AI startup investment. Analysis of Token-as-capital, how Tokenmaxxing startups operate, and potential risks.

An in-depth look at AI Agent sandboxing for permission management — how OpenAI uses execution isolation, resource limits, and progressive trust models to contain potentially destructive operations.