#multi-agent RL
1310 related articles
Research·1 min
Calico Teams Up with Google Co-Scientist: How AI Is Cracking the Challenges of Aging Research
Google's Calico Life Sciences uses AI tool Co-Scientist to integrate cross-disciplinary literature and generate new aging research hypotheses, accelerating scientific discovery.
Read more →
Research·1 min
How Does AI Discover Molecular Switches in Infectious Diseases? Google Co-Scientist Accelerates Gene Mutation Research
Cambridge's Prof. Clare Bryant uses Google Co-Scientist AI to identify key gene mutations in emerging infectious diseases, compressing weeks of analysis into hours for early epidemic warning.
Read more →
Tutorials·2 min
AI Creates a Budget Meal Plan for $1.20/Day: DeepSeek and Doubao Cross-Validate a Nutritionally Balanced Menu
Using DeepSeek and Doubao for cross-validation to create a $1.20/day nutritionally balanced meal plan. Learn the multi-model review methodology with just 6 ingredients.
Read more →
Research·2 min
Google Antigravity Uses 93 AI Agents to Build a Complete Operating System from Scratch
Google Antigravity built a complete OS from scratch using 93 AI agents and a single prompt—including kernel, drivers, and all components—for under $1,000.
Read more →
Tutorials·2 min
Best Practices for Claude Computer Use: A Complete Guide to Resolution, Click Accuracy, and Model Selection
In-depth guide on Anthropic's Claude Computer Use best practices covering screenshot resolution, click accuracy optimization, model selection, and small target strategies for AI Agent automation.
Read more →
Industry Insights·1 min
Anthropic Releases AI-Native Startup Playbook: A Four-Stage Framework Redefining Entrepreneurship for 2026
Anthropic releases The Founder's Playbook, a guide for AI-native startups with a four-stage framework (Idea, MVP, Launch, Scale) redefining entrepreneurship for 2026.
Read more →
Tutorials·2 min
2026 AI Large Language Model Development Learning Roadmap: From Zero to Enterprise-Level Implementation
Complete 2026 AI LLM development learning path covering Prompt Engineering, RAG, Agent development, and fine-tuning, with a phased plan from zero to enterprise-level implementation.
Read more →
Tutorials·1 min
Claude Code Context Management in Practice: 5 Tips to Double Your AI Programming Efficiency
Master Claude Code context window management with Compact, Clear, and Plot Context commands, plus CLAUDE.md, sub-agents, and other tips to boost AI coding efficiency.
Read more →
Product Reviews·2 min
Alibaba Miaowu Hands-On Review: Can This Chinese Alternative to Lovable Actually Deliver on AI Full-Stack Development?
In-depth hands-on review of Alibaba's Miaowu AI full-stack development tool, testing its multi-agent parallel coding, one-click deployment, and cloud database capabilities against Lovable.
Read more →
Tutorials·2 min
NVIDIA Open-Sources AI-Q: A Skill Pack That Gives Coding Agents Deep Research Capabilities
NVIDIA open-sources AI-Q skill pack, giving coding Agents like Claude Code and Codex a four-stage deep research pipeline with MCP protocol, local deployment support, and 94% benchmark accuracy.
Read more →
Tutorials·1 min
Claude Code Multi-Agent Parallel Development in Practice: Post-Mortem and Engineering Pitfall Guide
Practical guide to Claude Code Agent Teams multi-agent parallel development, covering 7 common pitfalls like naming conflicts, AI-invented APIs, and token limits, with complete engineering solutions.
Read more →
Tutorials·2 min
500 Million Tokens Per Day: Real-World AI Programming Experience with DeepSeek Powering a UE5 Project
A UE5 developer shares hands-on AI programming with 500M tokens/day: DeepSeek V4 Pro multi-agent architecture, 95%+ cache hit rate cost control, and documentation-first workflow at just $3-8/day.
Read more →
Tutorials·2 min
LangChain Multi-Agent in Practice: End-to-End Automated Generation of API & UI Test Cases
Build a multi-agent testing system with LangChain and LangGraph for automated test case generation, intelligent review, and Playwright execution across 10 progressive projects.
Read more →
Industry Insights·2 min
Google vs Codex vs Claude Code: A Deep Comparison of Three AI Coding CLI Approaches
Deep comparison of Google Gemini CLI, OpenAI Codex, and Claude Code — three AI coding tools taking divergent paths: platform OS, task queue command center, and UNIX toolchain.
Read more →
Product Reviews·2 min
GPT-4 Thinking In-Depth Review: Real-World Testing of Coding, Agent, and Writing Capabilities
In-depth review of GPT-4 Thinking's real-world performance in coding bug fixes, AI Agent research, and academic writing, compared with Gemini and Claude.
Read more →
Tutorials·2 min
Implementing Claude Code in Java: A Complete Beginner's Tutorial for AI Agent Development
An open-source project implementing Claude Code's core features in Java. Master AI Agent architecture, tool calling, task decomposition, and multi-Agent systems through 12 progressive lessons.
Read more →
Product Reviews·2 min
Claude Code Game Studios: 49 AI Agents Form a Complete Game Development Team
Claude Code Game Studios uses 49 AI Agents and 72 workflow commands to simulate a real game studio's three-tier hierarchy, supporting Godot, Unity, and Unreal, giving solo devs a full team's capability.
Read more →
Industry Insights·1 min
Claude Code Architecture Deep Dive: Why a Single-Loop Design Beats Multi-Agent Systems
Deep dive into Claude Code's architecture: single-loop control, no RAG, 9,400-token tool prompts, and model tiering. The minimalist design behind a $1B AI coding tool.
Read more →
Tech Frontiers·2 min
Cursor 2.0 Beginner's Guide: Three AI Interaction Modes & Core Features Explained
Complete guide to Cursor 2.0 AI code editor covering Plan, Agent, Ask modes, Quick Edit, Git version control, MCP extensions, and project rules setup.
Read more →
Tech Frontiers·3 min
Top 10 Practical Cursor Tips for 2025: From Agent Mode to Multi-Model Parallel Processing
Deep dive into the top 10 core tips for Cursor's 2025 latest version, covering Agent/Edit modes, custom models, Debug mode, WorkTree multi-Agent parallel processing, MCP, and Rules management.
Read more →