#multi-agent parallel execution
544 related articles
Product Reviews·2 min
Superset 2.0 Deep Dive: A New IDE for Running Hundreds of AI Coding Agents in Parallel
Deep analysis of Superset 2.0 IDE's core features including multi-agent parallel execution, sandbox isolation, and unified monitoring, exploring AI coding's evolution toward agent orchestration.
Read more →
Tutorials·1 min
Claude Code Workflow Practical Guide: Multi-Agent Workflow Orchestration Driven by JS Scripts
A detailed guide to Claude Code's new Workflow feature: use JavaScript scripts for precise multi-Agent orchestration. Covers setup, workflow patterns, SubAgents comparison, and reusable scripts.
Read more →
Industry Insights·2 min
In-Depth Analysis of C++ + AI Full-Stack Training Programs: Career Transition Paths for Developers in 2026
An in-depth analysis of C++ + AI full-stack training programs covering CUDA, YOLO, RAG, and interest-aligned employment guarantees for C++ developers transitioning to AI roles.
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 →
Tech Frontiers·2 min
Google Antigravity 2.0 Full Breakdown: AI Agent Ecosystem Platform Launch
Google I/O 2026 launches Antigravity 2.0 with desktop app, CLI, API, and SDK, powered by Gemini 3.5 Flash, supporting multi-Agent collaboration and scheduled tasks.
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 →
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 →
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 →
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 →
Tutorials·2 min
VS Code Multi-Agent Collaborative Development: A Practical Guide to Running Local, Background, and Cloud Agents in Parallel
Microsoft engineer demos three AI Agents running in parallel in VS Code—local, background, and cloud—showing a complete multi-agent collaborative development workflow with GitHub Copilot.
Read more →
Product Reviews·1 min
Replit Agent 4 Hands-On: Building Websites, Apps, and 3D Games with a Single Prompt
Hands-on test of Replit Agent 4's multi-agent parallel capabilities: building a cookie shop website, invoice app, and 3D space shooter game from a single prompt—no code required.
Read more →
Tutorials·2 min
NestJS + LangChain + Tauri 2: A Practical AI Full-Stack Development Solution
An enterprise AI full-stack solution using NestJS, LangChain, LangGraph, and Tauri 2, covering AI service platforms, multi-agent orchestration, RAG, and cross-platform delivery for frontend developers.
Read more →
Product Reviews·2 min
MiniMax Agent Desktop Hands-On: A Chinese AI Assistant That Can Control Your Computer
Hands-on review of MiniMax Agent desktop's computer control capabilities, covering web data collection, file organization, and report generation scenarios.
Read more →
Tech Frontiers·2 min
Major Claude Code Desktop Update: Built-in Terminal, Automated Routines, and Opus 4.7 Coming Soon
Claude Code Desktop gets a major update with built-in terminal, multi-panel collaboration, automated Routines, and Ultra Plan Mode, evolving from AI assistant to autonomous dev environment.
Read more →
Tutorials·2 min
LangChain v0.3 Agent Tutorial: Complete Guide to Tool Definition, Building, and Execution
Complete guide to building AI Agents in LangChain v0.3, covering @tool decorator, Agent Executor, parallel tool calls, Google Search integration, and ReAct framework with code examples.
Read more →
Tutorials·2 min
Practical Guide to OpenAI Agents SDK Message Types and Conversation History Management
Deep dive into OpenAI Agents SDK's five message types, conversation history management, and common pitfalls including static/dynamic instructions and Function Call pairing.
Read more →
Deep Dives·2 min
AI Agent Conversation History Management: From Message Lists to Event-Driven Architecture
Traditional user-assistant alternating chat history can't meet complex AI Agent needs. This article explores modeling Agent interactions as event sequences, revealing Agents as workflow engines.
Read more →
Product Reviews·2 min
Claude Code Ultra Review Hands-On: Deep Dive into Multi-Agent Code Review
Hands-on deep dive into Claude Code's upcoming Ultra Review: multi-Agent parallel search, independent verification, deduplication workflow, comparison with standard Review, plus custom Fleet Review implementation.
Read more →
Product Reviews·2 min
Claude Code Agent Teams Hands-On: Is Multi-AI Collaborative Development Actually Worth It?
Hands-on review of Claude Code Agent Teams multi-agent collaboration: team architecture, real-world performance, token costs, key limitations, and pragmatic recommendations for when to use it.
Read more →