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product#agent📝 BlogAnalyzed: Jan 18, 2026 16:30

Unlocking AI Coding Power: Mastering Claude Code's Sub-agents and Skills

Published:Jan 18, 2026 16:29
1 min read
Qiita AI

Analysis

Get ready to supercharge your coding workflow! This article dives deep into Anthropic's Claude Code, showcasing the exciting potential of 'Sub-agents' and 'Skills'. Learn how these features can revolutionize your approach to code generation and problem-solving!
Reference

“This article explores the core functionalities of Claude Code: 'Sub-agents' and 'Skills.'”

PermalinkQiita AI
product#agent📝 BlogAnalyzed: Jan 10, 2026 05:39

Accelerating Development with Claude Code Sub-agents: From Basics to Practice

Published:Jan 9, 2026 08:27
1 min read
Zenn AI

Analysis

The article highlights the potential of sub-agents in Claude Code to address common LLM challenges like context window limitations and task specialization. This feature allows for a more modular and scalable approach to AI-assisted development, potentially improving efficiency and accuracy. The success of this approach hinges on effective agent orchestration and communication protocols.
Reference

“これらの課題を解決するのが、Claude Code の サブエージェント（Sub-agents） 機能です。”

PermalinkZenn AI
product#agent📝 BlogAnalyzed: Jan 3, 2026 23:36

Human-in-the-Loop Workflow with Claude Code Sub-Agents

Published:Jan 3, 2026 23:31
1 min read
Qiita LLM

Analysis

This article demonstrates a practical application of Claude Code's sub-agents for implementing human-in-the-loop workflows, leveraging protocol declarations for iterative approval. The provided Gist link allows for direct examination and potential replication of the agent's implementation. The approach highlights the potential for increased control and oversight in AI-driven processes.
Reference

“先に結論だけ Claude Codeのサブエージェントでは、メインエージェントに対してプロトコルを宣言させることで、ヒューマンインザループの反復承認ワークフローが実現できます。”

PermalinkQiita LLM
Paper#LLM🔬 ResearchAnalyzed: Jan 3, 2026 18:34

BOAD: Hierarchical SWE Agents via Bandit Optimization

Published:Dec 29, 2025 17:41
1 min read
ArXiv

Analysis

This paper addresses the limitations of single-agent LLM systems in complex software engineering tasks by proposing a hierarchical multi-agent approach. The core contribution is the Bandit Optimization for Agent Design (BOAD) framework, which efficiently discovers effective hierarchies of specialized sub-agents. The results demonstrate significant improvements in generalization, particularly on out-of-distribution tasks, surpassing larger models. This work is important because it offers a novel and automated method for designing more robust and adaptable LLM-based systems for real-world software engineering.
Reference

“BOAD outperforms single-agent and manually designed multi-agent systems. On SWE-bench-Live, featuring more recent and out-of-distribution issues, our 36B system ranks second on the leaderboard at the time of evaluation, surpassing larger models such as GPT-4 and Claude.”

PermalinkArXiv
Research#AI Agents📝 BlogAnalyzed: Dec 28, 2025 21:57

Proactive Web Agents with Devi Parikh

Published:Nov 19, 2025 01:49
1 min read
Practical AI

Analysis

This article discusses the future of web interaction through proactive, autonomous agents, focusing on the work of Yutori. It highlights the technical challenges of building reliable web agents, particularly the advantages of visually-grounded models over DOM-based approaches. The article also touches upon Yutori's training methods, including rejection sampling and reinforcement learning, and how their "Scouts" agents orchestrate multiple tools for complex tasks. The importance of background operation and the progression from simple monitoring to full automation are also key takeaways.
Reference

“We explore the technical challenges of creating reliable web agents, the advantages of visually-grounded models that operate on screenshots rather than the browser’s more brittle document object model, or DOM, and why this counterintuitive choice has proven far more robust and generalizable for handling complex web interfaces.”

PermalinkPractical AI
Research#llm👥 CommunityAnalyzed: Jan 3, 2026 16:31

Claude Code Introduces Specialized Sub-Agents

Published:Jul 25, 2025 18:43
1 min read
Hacker News

Analysis

The article announces a new feature or update to Claude Code, focusing on the introduction of specialized sub-agents. This suggests advancements in the AI's ability to handle complex tasks by delegating sub-tasks to specialized components. The brevity of the summary leaves room for speculation about the specific capabilities and implications of this new architecture.
Reference

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PermalinkHacker News