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Agent collaboration

15 articles · Page 1 of 1
Architect
Architect
Jul 6, 2026 · R&D Management

How Claude Code Delivered an 8× Engineer Output Boost at Anthropic

Anthropic’s Claude Code team reports an eight‑fold increase in engineer code output, but the article explains that the real shift is from writing code to verification, with specs stored in repos, routines that merge feedback, PRs and metrics, a bad/sad quality taxonomy, six concrete interfaces, and new challenges around context switching, accountability and role boundaries.

AI‑assisted developmentAgent collaborationAnthropic
0 likes · 20 min read
How Claude Code Delivered an 8× Engineer Output Boost at Anthropic
AgentGuide
AgentGuide
Apr 14, 2026 · Artificial Intelligence

What Is Mixture-of-Agents (MoA) and How Does It Boost Performance?

MoA (Mixture-of-Agents) is a quality-first multi-agent collaboration mode where multiple large models act as Proposers and an Aggregator merges their diverse outputs, delivering more robust and higher-quality results at the cost of increased latency, making it ideal for high-value, open-ended tasks and extensible via multi-layer aggregation.

AIAgent collaborationMixture of Agents
0 likes · 4 min read
What Is Mixture-of-Agents (MoA) and How Does It Boost Performance?
AI Engineer Programming
AI Engineer Programming
Mar 24, 2026 · Artificial Intelligence

Tool Calling 2.0: Autonomous Discovery and Multi‑Agent Workflow

The article traces the evolution from early function calls to Tool Calling 2.0, explaining how Model Context Protocol standardizes tool interfaces, how Agent‑to‑Agent communication enables multi‑AI collaboration, and how Skills combine tool orchestration into autonomous workflows, while also discussing remaining challenges such as intent misinterpretation and security risks.

AI SkillsAgent collaborationAgentic workflow
0 likes · 14 min read
Tool Calling 2.0: Autonomous Discovery and Multi‑Agent Workflow
Wuming AI
Wuming AI
Mar 3, 2026 · Artificial Intelligence

How Claude Code’s New Team Mode Turns a Single AI into a Collaborative Development Squad

Claude Code’s Team mode replaces a lone AI assistant with a manager‑agent and multiple specialist agents, enabling parallel code review, testing, documentation, and debugging through shared task lists and bidirectional messaging, while outlining configurations, use‑case comparisons, advanced patterns, and practical demos.

AI agentsAgent collaborationClaude Code
0 likes · 13 min read
How Claude Code’s New Team Mode Turns a Single AI into a Collaborative Development Squad
LuTiao Programming
LuTiao Programming
Jan 26, 2026 · Artificial Intelligence

ClawdBot: 100% AI‑Generated Code, Solo‑Maintained, Auditable Open‑Source

ClawdBot is an experimental personal AI agent built almost entirely with AI‑generated TypeScript, maintained by a single developer, featuring an auditable open‑source core with a tiny closed‑source "soul" file, and it showcases a new PR‑as‑intent collaboration model, extensive computer control, long‑term memory, and diverse real‑world use cases while raising security concerns.

AI-generated codeAgent collaborationopen source
0 likes · 10 min read
ClawdBot: 100% AI‑Generated Code, Solo‑Maintained, Auditable Open‑Source
Instant Consumer Technology Team
Instant Consumer Technology Team
Jan 13, 2026 · Artificial Intelligence

Scalable Enterprise AI Assistant: Intent Planning, Context Engineering, Data Iteration

This article details the end‑to‑end design of an enterprise AI office assistant, covering the three‑layer framework of intent planning, context engineering, and data self‑iteration, the key pain points of intent understanding, knowledge integration, and quality control, and practical architectural and implementation solutions for scalable deployment.

AI assistantAgent collaborationContext Engineering
0 likes · 25 min read
Scalable Enterprise AI Assistant: Intent Planning, Context Engineering, Data Iteration
Data STUDIO
Data STUDIO
Aug 19, 2025 · Artificial Intelligence

Building a Multi‑Agent Collaborative AI System with LangGraph

The article demonstrates how to construct an AI research assistant using LangGraph’s multi‑agent framework, detailing system architecture, specialized agents for research, fact‑checking and report writing, workflow orchestration, dynamic routing, parallel processing, debugging, and performance evaluation, showing a 40‑60% efficiency gain over single‑model approaches.

AI research assistantAgent collaborationLangGraph
0 likes · 13 min read
Building a Multi‑Agent Collaborative AI System with LangGraph
FunTester
FunTester
Jul 21, 2025 · Artificial Intelligence

How First Principles Shape the Future of AI Agents: Evolution, Capabilities, and Emerging Trends

This article explores how first‑principle reasoning underpins the development of AI agents, traces their collaborative technology evolution, details core capabilities such as compute, memory, prediction and action, and forecasts future directions like multimodal models, reduced prompting, and extensive data sharing.

AI agentsAgent collaborationArtificial Intelligence
0 likes · 15 min read
How First Principles Shape the Future of AI Agents: Evolution, Capabilities, and Emerging Trends
Tencent Cloud Developer
Tencent Cloud Developer
Jul 16, 2025 · Artificial Intelligence

How First Principles Shape the Future of AI Agents: Evolution, Capabilities, and Trends

This article explores how first‑principle thinking underpins AI agents, traces their development from single‑craftsman tools to enterprise‑level collaborations, outlines core capabilities such as compute, memory, prediction and action, and forecasts future directions like multimodal models, reduced prompting, and extensive data sharing.

AI agentsAgent collaborationFuture AI
0 likes · 15 min read
How First Principles Shape the Future of AI Agents: Evolution, Capabilities, and Trends
Infra Learning Club
Infra Learning Club
Feb 8, 2025 · Artificial Intelligence

Multi-Agent LLMs Explained: Benefits, Workflows, and Leading Frameworks

The article surveys the rise of multi‑agent LLM systems, detailing how specialized agents collaborate on tasks such as travel planning, outlining their workflow, comparing them with single‑agent models, listing prominent frameworks, and discussing current challenges and research citations.

AIAgent collaborationAutoGen
0 likes · 13 min read
Multi-Agent LLMs Explained: Benefits, Workflows, and Leading Frameworks
DataFunTalk
DataFunTalk
Sep 12, 2024 · Artificial Intelligence

MetaGPT: Advances in Multi‑Agent Collaboration and Agent Capability Enhancement

This article reviews MetaGPT, an open‑source multi‑agent framework that integrates human‑engineered SOPs into LLM‑based agents to improve software generation, data interpretation, and simulation tasks, highlighting its rapid community growth, experimental successes, tool integration strategies, and future research directions.

Agent collaborationLLMMetaGPT
0 likes · 20 min read
MetaGPT: Advances in Multi‑Agent Collaboration and Agent Capability Enhancement